technology and its effects essay

How Technology Affects Our Lives – Essay

Do you wish to explore the use of information technology in daily life? Essays like the one below discuss this topic in depth. Read on to find out more.

Introduction

Technology in communication, technology in healthcare, technology in government, technology in education, technology in business, negative impact of technology.

Technology is a vital component of life in the modern world. People are so dependent on technology that they cannot live without it. Technology is important and useful in all areas of human life today. It has made life easy and comfortable by making communication and transport faster and easier (Harrington, 2011, p.35).

It has made education accessible to all and has improved healthcare services. Technology has made the world smaller and a better place to live. Without technology, fulfilling human needs would be a difficult task. Before the advent of technology, human beings were still fulfilling their needs. However, with technology, fulfillment of needs has become easier and faster.

It is unimaginable how life would be without technology. Technology is useful in the following areas: transport, communication, interaction, education, healthcare, and business (Harrington, 2011, p.35). Despite its benefits, technology has negative impacts on society. Examples of negative impacts of technology include the development of controversial medical practices such as stem cell research and the embracement of solitude due to changes in interaction methods. For example, social media has changed the way people interact.

Technology has led to the introduction of cloning, which is highly controversial because of its ethical and moral implications. The growth of technology has changed the world significantly and has influenced life in a great way. Technology is changing every day and continuing to influence areas of communication, healthcare, governance, education, and business.

Technology has contributed fundamentally in improving people’s lifestyles. It has improved communication by incorporating the Internet and devices such as mobile phones into people’s lives. The first technological invention to have an impact on communication was the discovery of the telephone by Graham Bell in 1875.

Since then, other inventions such as the Internet and the mobile phone have made communication faster and easier. For example, the Internet has improved ways through which people exchange views, opinions, and ideas through online discussions (Harrington, 2011, p.38). Unlike in the past when people who were in different geographical regions could not easily communicate, technology has eradicated that communication barrier. People in different geographical regions can send and receive messages within seconds.

Online discussions have made it easy for people to keep in touch. In addition, they have made socializing easy. Through online discussions, people find better solutions to problems by exchanging opinions and ideas (Harrington, 2011, p.39). Examples of technological inventions that facilitate online discussions include emails, online forums, dating websites, and social media sites.

Another technological invention that changed communication was the mobile phone. In the past, people relied on letters to send messages to people who were far away. Mobile phones have made communication efficient and reliable. They facilitate both local and international communication.

In addition, they enable people to respond to emergencies and other situations that require quick responses. Other uses of cell phones include the transfer of data through applications such as infrared and Bluetooth, entertainment, and their use as miniature personal computers (Harrington, 2011, p.40).

The latest versions of mobile phones are fitted with applications that enable them to access the Internet. This provides loads of information in diverse fields for mobile phone users. For business owners, mobile phones enhance the efficiency of their business operations because they are able to keep in touch with their employees and suppliers (Harrington, 2011, p.41). In addition, they are able to receive any information about the progress of their business in a short period of time.

Technology has contributed significantly to the healthcare sector. For example, it has made vital contributions in the fields of disease prevention and health promotion. Technology has aided in the understanding of the pathophysiology of diseases, which has led to the prevention of many diseases. For example, understanding the pathophysiology of the gastrointestinal tract and blood diseases has aided in their effective management (Harrington, 2011, p.49).

Technology has enabled practitioners in the medical field to make discoveries that have changed the healthcare sector. These include the discovery that peptic ulceration is caused by a bacterial infection and the development of drugs to treat schizophrenia and depressive disorders that afflict a greater portion of the population (Harrington, 2011, p.53). The development of vaccines against polio and measles led to their total eradication.

Children who are vaccinated against these diseases are not at risk of contracting the diseases. The development of vaccines was facilitated by technology, without which certain diseases would still be causing deaths in great numbers. Vaccines play a significant role in disease prevention.

Technology is used in health promotion in different ways. First, health practitioners use various technological methods to improve health care. eHealth refers to the use of information technology to improve healthcare by providing information on the Internet to people. In this field, technology is used in three main ways.

These include its use as an intervention tool, its use in conducting research studies, and its use for professional development (Lintonen et al, 2008, p. 560). According to Lintonenet al (2008), “e-health is the use of emerging information and communications technology, especially the internet, to improve or enable health and healthcare.” (p.560). It is largely used to support health care interventions that are mainly directed towards individual persons. Secondly, it is used to improve the well-being of patients during recovery.

Bedside technology has contributed significantly in helping patients recover. For example, medical professionals have started using the Xbox computer technology to develop a revolutionary process that measures limb movements in stroke patients (Tanja-Dijkstra, 2011, p.48). This helps them recover their manual competencies. The main aim of this technology is to help stroke patients do more exercises to increase their recovery rate and reduce the frequency of visits to the hospital (Lintonen et al, 2008, p. 560).

The government has utilized technology in two main areas. These include the facilitation of the delivery of citizen services and the improvement of defense and national security (Scholl, 2010, p.62). The government is spending large sums of money on wireless technologies, mobile gadgets, and technological applications. This is in an effort to improve their operations and ensure that the needs of citizens are fulfilled.

For example, in order to enhance safety and improve service delivery, Cisco developed a networking approach known as Connected Communities. This networking system connects citizens with the government and the community. The system was developed to improve the safety and security of citizens, improve service delivery by the government, empower citizens, and encourage economic development.

The government uses technology to provide information and services to citizens. This encourages economic development and fosters social inclusion (Scholl, 2010, p.62). Technology is also useful in improving national security and the safety of citizens. It integrates several wireless technologies and applications that make it easy for security agencies to access and share important information effectively. Technology is widely used by security agencies to reduce vulnerability to terrorism.

Technologically advanced gadgets are used in airports, hospitals, shopping malls, and public buildings to screen people for explosives and potentially dangerous materials or gadgets that may compromise the safety of citizens (Bonvillian and Sharp, 2001, par2). In addition, security agencies use surveillance systems to restrict access to certain areas. They also use technologically advanced screening and tracking methods to improve security in places that are prone to terrorist attacks (Bonvillian and Sharp, 2001, par3).

Technology has made significant contributions in the education sector. It is used to enhance teaching and learning through the use of different technological methods and resources. These include classrooms with digital tools such as computers that facilitate learning, online learning schools, blended learning, and a wide variety of online learning resources (Barnett, 1997, p.74). Digital learning tools that are used in classrooms facilitate learning in different ways. They expand the scope of learning materials and experiences for students, improve student participation in learning, make learning easier and quick, and reduce the cost of education (Barnett, 1997, p.75). For example, online schools and free learning materials reduce the costs that are incurred in purchasing learning materials. They are readily available online. In addition, they reduce the expenses that are incurred in program delivery.

Technology has improved the process of teaching by introducing new methods that facilitate connected teaching. These methods virtually connect teachers to their students. Teachers are able to provide learning materials and the course content to students effectively. In addition, teachers are able to give students an opportunity to personalize learning and access all learning materials that they provide. Technology enables teachers to serve the academic needs of different students.

In addition, it enhances learning because the problem of distance is eradicated, and students can contact their teachers easily (Barnett, 1997, p.76). Technology plays a significant role in changing how teachers teach. It enables educators to evaluate the learning abilities of different students in order to devise teaching methods that are most efficient in the achievement of learning objectives.

Through technology, teachers are able to relate well with their students, and they are able to help and guide them. Educators assume the role of coaches, advisors, and experts in their areas of teaching. Technology helps make teaching and learning enjoyable and gives it meaning that goes beyond the traditional classroom set-up system (Barnett, 1997, p.81).

Technology is used in the business world to improve efficiency and increase productivity. Most important, technology is used as a tool to foster innovation and creativity (Ray, 2004, p.62). Other benefits of technology to businesses include the reduction of injury risk to employees and improved competitiveness in the markets. For example, many manufacturing businesses use automated systems instead of manual systems. These systems eliminate the costs of hiring employees to oversee manufacturing processes.

They also increase productivity and improve the accuracy of the processes because of the reduction of errors (Ray, 2004, p.63). Technology improves productivity due to Computer-aided Manufacturing (CAM), Computer-integrated Manufacturing (CIM), and Computer-aided Design (CAD). CAM reduces labor costs, increases the speed of production, and ensures a higher level of accuracy (Hunt, 2008, p.44). CIM reduces labor costs, while CAD improves the quality and standards of products and reduces the cost of production.

Another example of the use of technology in improving productivity and output is the use of database systems to store data and information. Many businesses store their data and other information in database systems that make accessibility of information fast, easy, and reliable (Pages, 2010, p.44).

Technology has changed how international business is conducted. With the advent of e-commerce, businesses became able to trade through the Internet on the international market (Ray, 2004, p.69). This means that there is a large market for products and services. In addition, it implies that most markets are open 24 hours a day.

For example, customers can shop for books or music on Amazon.com at any time of the day. E-commerce has given businesses the opportunity to expand and operate internationally. Countries such as China and Brazil are taking advantage of opportunities presented by technology to grow their economy.

E-commerce reduces the complexities involved in conducting international trade (Ray, 2004, p.71). Its many components make international trade easy and fast. For example, a BOES system allows merchants to execute trade transactions in any language or currency, monitor all steps involved in transactions, and calculate all costs involved, such as taxes and freight costs (Yates, 2006, p.426).

Financial researchers claim that a BOES system is capable of reducing the cost of an international transaction by approximately 30% (Ray, 2004, p.74). BOES enables businesses to import and export different products through the Internet. This system of trade is efficient and creates a fair environment in which small and medium-sized companies can compete with large companies that dominate the market.

Despite its many benefits, technology has negative impacts. It has negative impacts on society because it affects communication and has changed the way people view social life. First, people have become more anti-social because of changes in methods of socializing (Harrington, 2008, p.103). Today, one does not need to interact physically with another person in order to establish a relationship.

The Internet is awash with dating sites that are full of people looking for partners and friends. The ease of forming friendships and relationships through the Internet has discouraged many people from engaging in traditional socializing activities. Secondly, technology has affected the economic statuses of many families because of high rates of unemployment. People lose jobs when organizations and businesses embrace technology (Harrington, 2008, p.105).

For example, many employees lose their jobs when manufacturing companies replace them with automated machines that are more efficient and cost-effective. Many families are struggling because of the lack of a constant stream of income. On the other hand, technology has led to the closure of certain companies because the world does not need their services. This is prompted by technological advancements.

For example, the invention of digital cameras forced Kodak to close down because people no longer needed analog cameras. Digital cameras replaced analog cameras because they are easy to use and efficient. Many people lost their jobs due to changes in technology. Thirdly, technology has made people lazy and unwilling to engage in strenuous activities (Harrington, 2008, p.113).

For example, video games have replaced physical activities that are vital in improving the health of young people. Children spend a lot of time watching television and playing video games such that they have little or no time for physical activities. This has encouraged the proliferation of unhealthy eating habits that lead to conditions such as diabetes.

Technology has elicited heated debates in the healthcare sector. Technology has led to medical practices such as stem cell research, implant embryos, and assisted reproduction. Even though these practices have been proven viable, they are highly criticized on the grounds of their moral implications on society.

There are many controversial medical technologies, such as gene therapy, pharmacogenomics, and stem cell research (Hunt, 2008, p.113). The use of genetic research in finding new cures for diseases is imperative and laudable. However, the medical implications of these disease treatment methods and the ethical and moral issues associated with the treatment methods are critical. Gene therapy is mostly rejected by religious people.

They claim that it is against natural law to alter the gene composition of a person in any way (Hunt, 2008, p.114). The use of embryonic stem cells in research is highly controversial, unlike the use of adult stem cells. The controversy exists because of the source of the stem cells. The cells are obtained from embryos. There is a belief among many people that life starts after conception.

Therefore, using embryos in research means killing them to obtain their cells for research. The use of embryo cells in research is considered in the same light as abortion: eliminating a life (Hunt, 2008, p.119). These issues have led to disagreements between the science and the religious worlds.

Technology is a vital component of life in the modern world. People are so dependent on technology that they cannot live without it. Technology is important and useful in all areas of human life today.

It has made life easy and comfortable by making communication faster and travel faster, making movements between places easier, making actions quick, and easing interactions. Technology is useful in the following areas of life: transport, communication, interaction, education, healthcare, and business. Despite its benefits, technology has negative impacts on society.

Technology has eased communication and transport. The discovery of the telephone and the later invention of the mobile phone changed the face of communication entirely. People in different geographical regions can communicate easily and in record time. In the field of health care, technology has made significant contributions in disease prevention and health promotion. The development of vaccines has eradicated certain diseases, and the use of the Internet is vital in promoting health and health care.

The government uses technology to enhance the delivery of services to citizens and the improvement of defense and security. In the education sector, teaching and learning processes have undergone significant changes owing to the impact of technology. Teachers are able to relate to different types of learners, and the learners have access to various resources and learning materials. Businesses benefit from technology through the reduction of costs and increased efficiency of business operations.

Despite the benefits, technology has certain disadvantages. It has negatively affected human interactions and socialization and has led to widespread unemployment. In addition, its application in the healthcare sector has elicited controversies due to certain medical practices such as stem cell research and gene therapy. Technology is very important and has made life easier and more comfortable than it was in the past.

Barnett, L. (1997). Using Technology in Teaching and Learning . New York: Routledge.

Bonvillian, W., and Sharp, K. (2011). Homeland Security Technology . Retrieved from https://issues.org/bonvillian/ .

Harrington, J. (2011). Technology and Society . New York: Jones & Bartlett Publishers.

Hunt, S. (2008). Controversies in Treatment Approaches: Gene Therapy, IVF, Stem Cells and Pharmagenomics. Nature Education , 19(1), 112-134.

Lintonen, P., Konu, A., and Seedhouse, D. (2008). Information Technology in Health Promotion. Health Education Research , 23(3), 560-566.

Pages, J., Bikifalvi, A., and De Castro Vila, R. (2010). The Use and Impact of Technology in Factory Environments: Evidence from a Survey of Manufacturing Industry in Spain. International Journal of Advanced Manufacturing Technology , 47(1), 182-190.

Ray, R. (2004). Technology Solutions for Growing Businesses . New York: AMACOM Div American Management Association.

Scholl, H. (2010). E-government: Information, Technology and Transformation . New York: M.E. Sharpe.

Tanja-Dijkstra, K. (2011). The Impact of Bedside Technology on Patients’ Well-Being. Health Environments Research & Design Journal (HERD) , 5(1), 43-51.

Yates, J. (2006). How Business Enterprises use Technology: Extending the Demand-Side Turn. Enterprise and Society , 7(3), 422-425.

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Feb 13, 2023

200-500 Word Example Essays about Technology

Got an essay assignment about technology check out these examples to inspire you.

Technology is a rapidly evolving field that has completely changed the way we live, work, and interact with one another. Technology has profoundly impacted our daily lives, from how we communicate with friends and family to how we access information and complete tasks. As a result, it's no surprise that technology is a popular topic for students writing essays.

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This blog post aims to provide readers with various example essays on technology, all generated by Jenni.ai. These essays will be a valuable resource for students looking for inspiration or guidance as they work on their essays. By reading through these example essays, students can better understand how technology can be approached and discussed in an essay.

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The Impact of Technology on Society and Culture

Introduction:.

Technology has become an integral part of our daily lives and has dramatically impacted how we interact, communicate, and carry out various activities. Technological advancements have brought positive and negative changes to society and culture. In this article, we will explore the impact of technology on society and culture and how it has influenced different aspects of our lives.

Positive impact on communication:

Technology has dramatically improved communication and made it easier for people to connect from anywhere in the world. Social media platforms, instant messaging, and video conferencing have brought people closer, bridging geographical distances and cultural differences. This has made it easier for people to share information, exchange ideas, and collaborate on projects.

Positive impact on education:

Students and instructors now have access to a multitude of knowledge and resources because of the effect of technology on education . Students may now study at their speed and from any location thanks to online learning platforms, educational applications, and digital textbooks.

Negative impact on critical thinking and creativity:

Technological advancements have resulted in a reduction in critical thinking and creativity. With so much information at our fingertips, individuals have become more passive in their learning, relying on the internet for solutions rather than logic and inventiveness. As a result, independent thinking and problem-solving abilities have declined.

Positive impact on entertainment:

Technology has transformed how we access and consume entertainment. People may now access a wide range of entertainment alternatives from the comfort of their own homes thanks to streaming services, gaming platforms, and online content makers. The entertainment business has entered a new age of creativity and invention as a result of this.

Negative impact on attention span:

However, the continual bombardment of information and technological stimulation has also reduced attention span and the capacity to focus. People are easily distracted and need help focusing on a single activity for a long time. This has hampered productivity and the ability to accomplish duties.

The Ethics of Artificial Intelligence And Machine Learning

The development of artificial intelligence (AI) and machine learning (ML) technologies has been one of the most significant technological developments of the past several decades. These cutting-edge technologies have the potential to alter several sectors of society, including commerce, industry, healthcare, and entertainment. 

As with any new and quickly advancing technology, AI and ML ethics must be carefully studied. The usage of these technologies presents significant concerns around privacy, accountability, and command. As the use of AI and ML grows more ubiquitous, we must assess their possible influence on society and investigate the ethical issues that must be taken into account as these technologies continue to develop.

What are Artificial Intelligence and Machine Learning?

Artificial Intelligence is the simulation of human intelligence in machines designed to think and act like humans. Machine learning is a subfield of AI that enables computers to learn from data and improve their performance over time without being explicitly programmed.

The impact of AI and ML on Society

The use of AI and ML in various industries, such as healthcare, finance, and retail, has brought many benefits. For example, AI-powered medical diagnosis systems can identify diseases faster and more accurately than human doctors. However, there are also concerns about job displacement and the potential for AI to perpetuate societal biases.

The Ethical Considerations of AI and ML

A. Bias in AI algorithms

One of the critical ethical concerns about AI and ML is the potential for algorithms to perpetuate existing biases. This can occur if the data used to train these algorithms reflects the preferences of the people who created it. As a result, AI systems can perpetuate these biases and discriminate against certain groups of people.

B. Responsibility for AI-generated decisions

Another ethical concern is the responsibility for decisions made by AI systems. For example, who is responsible for the damage if a self-driving car causes an accident? The manufacturer of the vehicle, the software developer, or the AI algorithm itself?

C. The potential for misuse of AI and ML

AI and ML can also be used for malicious purposes, such as cyberattacks and misinformation. The need for more regulation and oversight in developing and using these technologies makes it difficult to prevent misuse.

The developments in AI and ML have given numerous benefits to humanity, but they also present significant ethical concerns that must be addressed. We must assess the repercussions of new technologies on society, implement methods to limit the associated dangers, and guarantee that they are utilized for the greater good. As AI and ML continue to play an ever-increasing role in our daily lives, we must engage in an open and frank discussion regarding their ethics.

The Future of Work And Automation

Rapid technological breakthroughs in recent years have brought about considerable changes in our way of life and work. Concerns regarding the influence of artificial intelligence and machine learning on the future of work and employment have increased alongside the development of these technologies. This article will examine the possible advantages and disadvantages of automation and its influence on the labor market, employees, and the economy.

The Advantages of Automation

Automation in the workplace offers various benefits, including higher efficiency and production, fewer mistakes, and enhanced precision. Automated processes may accomplish repetitive jobs quickly and precisely, allowing employees to concentrate on more complex and creative activities. Additionally, automation may save organizations money since it removes the need to pay for labor and minimizes the danger of workplace accidents.

The Potential Disadvantages of Automation

However, automation has significant disadvantages, including job loss and income stagnation. As robots and computers replace human labor in particular industries, there is a danger that many workers may lose their jobs, resulting in higher unemployment and more significant economic disparity. Moreover, if automation is not adequately regulated and managed, it might lead to stagnant wages and a deterioration in employees' standard of life.

The Future of Work and Automation

Despite these difficulties, automation will likely influence how labor is done. As a result, firms, employees, and governments must take early measures to solve possible issues and reap the rewards of automation. This might entail funding worker retraining programs, enhancing education and skill development, and implementing regulations that support equality and justice at work.

IV. The Need for Ethical Considerations

We must consider the ethical ramifications of automation and its effects on society as technology develops. The impact on employees and their rights, possible hazards to privacy and security, and the duty of corporations and governments to ensure that automation is utilized responsibly and ethically are all factors to be taken into account.

Conclusion:

To summarise, the future of employment and automation will most certainly be defined by a complex interaction of technological advances, economic trends, and cultural ideals. All stakeholders must work together to handle the problems and possibilities presented by automation and ensure that technology is employed to benefit society as a whole.

The Role of Technology in Education

Introduction.

Nearly every part of our lives has been transformed by technology, and education is no different. Today's students have greater access to knowledge, opportunities, and resources than ever before, and technology is becoming a more significant part of their educational experience. Technology is transforming how we think about education and creating new opportunities for learners of all ages, from online courses and virtual classrooms to instructional applications and augmented reality.

Technology's Benefits for Education

The capacity to tailor learning is one of technology's most significant benefits in education. Students may customize their education to meet their unique needs and interests since they can access online information and tools. 

For instance, people can enroll in online classes on topics they are interested in, get tailored feedback on their work, and engage in virtual discussions with peers and subject matter experts worldwide. As a result, pupils are better able to acquire and develop the abilities and information necessary for success.

Challenges and Concerns

Despite the numerous advantages of technology in education, there are also obstacles and considerations to consider. One issue is the growing reliance on technology and the possibility that pupils would become overly dependent on it. This might result in a lack of critical thinking and problem-solving abilities, as students may become passive learners who only follow instructions and rely on technology to complete their assignments.

Another obstacle is the digital divide between those who have access to technology and those who do not. This division can exacerbate the achievement gap between pupils and produce uneven educational and professional growth chances. To reduce these consequences, all students must have access to the technology and resources necessary for success.

In conclusion, technology is rapidly becoming an integral part of the classroom experience and has the potential to alter the way we learn radically. 

Technology can help students flourish and realize their full potential by giving them access to individualized instruction, tools, and opportunities. While the benefits of technology in the classroom are undeniable, it's crucial to be mindful of the risks and take precautions to guarantee that all kids have access to the tools they need to thrive.

The Influence of Technology On Personal Relationships And Communication 

Technological advancements have profoundly altered how individuals connect and exchange information. It has changed the world in many ways in only a few decades. Because of the rise of the internet and various social media sites, maintaining relationships with people from all walks of life is now simpler than ever. 

However, concerns about how these developments may affect interpersonal connections and dialogue are inevitable in an era of rapid technological growth. In this piece, we'll discuss how the prevalence of digital media has altered our interpersonal connections and the language we use to express ourselves.

Direct Effect on Direct Interaction:

The disruption of face-to-face communication is a particularly stark example of how technology has impacted human connections. The quality of interpersonal connections has suffered due to people's growing preference for digital over human communication. Technology has been demonstrated to reduce the usage of nonverbal signs such as facial expressions, tone of voice, and other indicators of emotional investment in the connection.

Positive Impact on Long-Distance Relationships:

Yet there are positives to be found as well. Long-distance relationships have also benefited from technological advancements. The development of technologies such as video conferencing, instant messaging, and social media has made it possible for individuals to keep in touch with distant loved ones. It has become simpler for individuals to stay in touch and feel connected despite geographical distance.

The Effects of Social Media on Personal Connections:

The widespread use of social media has had far-reaching consequences, especially on the quality of interpersonal interactions. Social media has positive and harmful effects on relationships since it allows people to keep in touch and share life's milestones.

Unfortunately, social media has made it all too easy to compare oneself to others, which may lead to emotions of jealousy and a general decline in confidence. Furthermore, social media might cause people to have inflated expectations of themselves and their relationships.

A Personal Perspective on the Intersection of Technology and Romance

Technological advancements have also altered physical touch and closeness. Virtual reality and other technologies have allowed people to feel physical contact and familiarity in a digital setting. This might be a promising breakthrough, but it has some potential downsides. 

Experts are concerned that people's growing dependence on technology for intimacy may lead to less time spent communicating face-to-face and less emphasis on physical contact, both of which are important for maintaining good relationships.

In conclusion, technological advancements have significantly affected the quality of interpersonal connections and the exchange of information. Even though technology has made it simpler to maintain personal relationships, it has chilled interpersonal interactions between people. 

Keeping tabs on how technology is changing our lives and making adjustments as necessary is essential as we move forward. Boundaries and prioritizing in-person conversation and physical touch in close relationships may help reduce the harm it causes.

The Security and Privacy Implications of Increased Technology Use and Data Collection

The fast development of technology over the past few decades has made its way into every aspect of our life. Technology has improved many facets of our life, from communication to commerce. However, significant privacy and security problems have emerged due to the broad adoption of technology. In this essay, we'll look at how the widespread use of technological solutions and the subsequent explosion in collected data affects our right to privacy and security.

Data Mining and Privacy Concerns

Risk of Cyber Attacks and Data Loss

The Widespread Use of Encryption and Other Safety Mechanisms

The Privacy and Security of the Future in a Globalized Information Age

Obtaining and Using Individual Information

The acquisition and use of private information is a significant cause for privacy alarm in the digital age. Data about their customers' online habits, interests, and personal information is a valuable commodity for many internet firms. Besides tailored advertising, this information may be used for other, less desirable things like identity theft or cyber assaults.

Moreover, many individuals need to be made aware of what data is being gathered from them or how it is being utilized because of the lack of transparency around gathering personal information. Privacy and data security have become increasingly contentious as a result.

Data breaches and other forms of cyber-attack pose a severe risk.

The risk of cyber assaults and data breaches is another big issue of worry. More people are using more devices, which means more opportunities for cybercriminals to steal private information like credit card numbers and other identifying data. This may cause monetary damages and harm one's reputation or identity.

Many high-profile data breaches have occurred in recent years, exposing the personal information of millions of individuals and raising serious concerns about the safety of this information. Companies and governments have responded to this problem by adopting new security methods like encryption and multi-factor authentication.

Many businesses now use encryption and other security measures to protect themselves from cybercriminals and data thieves. Encryption keeps sensitive information hidden by encoding it so that only those possessing the corresponding key can decipher it. This prevents private information like bank account numbers or social security numbers from falling into the wrong hands.

Firewalls, virus scanners, and two-factor authentication are all additional security precautions that may be used with encryption. While these safeguards do much to stave against cyber assaults, they are not entirely impregnable, and data breaches are still possible.

The Future of Privacy and Security in a Technologically Advanced World

There's little doubt that concerns about privacy and security will persist even as technology improves. There must be strict safeguards to secure people's private information as more and more of it is transferred and kept digitally. To achieve this goal, it may be necessary to implement novel technologies and heightened levels of protection and to revise the rules and regulations regulating the collection and storage of private information.

Individuals and businesses are understandably concerned about the security and privacy consequences of widespread technological use and data collecting. There are numerous obstacles to overcome in a society where technology plays an increasingly important role, from acquiring and using personal data to the risk of cyber-attacks and data breaches. Companies and governments must keep spending money on security measures and working to educate people about the significance of privacy and security if personal data is to remain safe.

In conclusion, technology has profoundly impacted virtually every aspect of our lives, including society and culture, ethics, work, education, personal relationships, and security and privacy. The rise of artificial intelligence and machine learning has presented new ethical considerations, while automation is transforming the future of work. 

In education, technology has revolutionized the way we learn and access information. At the same time, our dependence on technology has brought new challenges in terms of personal relationships, communication, security, and privacy.

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The Impact of Digital Technologies

Technologies can help make our world fairer, more peaceful, and more just. Digital advances can support and accelerate achievement of each of the 17 Sustainable Development Goals – from ending extreme poverty to reducing maternal and infant mortality, promoting sustainable farming and decent work, and achieving universal literacy. But technologies can also threaten privacy, erode security and fuel inequality. They have implications for human rights and human agency. Like generations before, we – governments, businesses and individuals – have a choice to make in how we harness and manage new technologies.

A DIGITAL FUTURE FOR ALL?

Digital technologies have advanced more rapidly than any innovation in our history – reaching around 50 per cent of the developing world’s population in only two decades and transforming societies. By enhancing connectivity, financial inclusion, access to trade and public services, technology can be a great equaliser.

In the health sector, for instance, AI-enabled frontier technologies are helping to save lives, diagnose diseases and extend life expectancy. In education, virtual learning environments and distance learning have opened up programmes to students who would otherwise be excluded. Public services are also becoming more accessible and accountable through blockchain-powered systems, and less bureaucratically burdensome as a result of AI assistance.Big data can also support more responsive and accurate policies and programmes.

However, those yet to be connected remain cut off from the benefits of this new era and remain further behind. Many of the people left behind are women, the elderly, persons with disabilities or from ethnic or linguistic minorities, indigenous groups and residents of poor or remote areas. The pace of connectivity is slowing, even reversing, among some constituencies. For example, globally, the proportion of women using the internet is 12 per cent lower than that of men. While this gap narrowed in most regions between 2013 and 2017, it widened in the least developed countries from 30 per cent to 33 per cent.

The use of algorithms can replicate and even amplify human and systemic bias where they function on the basis of data which is not adequately diverse. Lack of diversity in the technology sector can mean that this challenge is not adequately addressed.

THE FUTURE OF WORK

Throughout history, technological revolutions have changed the labour force: creating new forms and patterns of work, making others obsolete, and leading to wider societal changes. This current wave of change is likely to have profound impacts. For example, the International Labour Organization estimates that the shift to a greener economy could create 24 million new jobs globally by 2030 through the adoption of sustainable practices in the energy sector, the use of electric vehicles and increasing energy efficiency in existing and future buildings.

Meanwhile, reports by groups such as McKinsey suggest that 800 million people could lose their jobs to automation by 2030 , while polls reveal that the majority of all employees worry that they do not have the necessary training or skills to get a well-paid job.

There is broad agreement that managing these trends will require changes in our approach to education, for instance, by placing more emphasis on science, technology, engineering, and maths; by teaching soft skills, and resilience; and by ensuring that people can re-skill and up-skill throughout their lifetimes. Unpaid work, for example childcare and elderly care in the home, will need to be better supported, especially as with the shifting age profile of global populations, the demands on these tasks are likely to increase.

THE FUTURE OF DATA

Today, digital technologies such as data pooling and AI are used to track and diagnose issues in agriculture, health, and the environment, or to perform daily tasks such as navigating traffic or paying a bill. They can be used to defend and exercise human rights – but they can also be used to violate them, for example, by monitoring our movements, purchases, conversations and behaviours. Governments and businesses increasingly have the tools to mine and exploit data for financial and other purposes.

However, personal data would become an asset to a person, if there were a formula for better regulation of personal data ownership. Data-powered technology has the potential to empower individuals, improve human welfare, and promote universal rights, depending on the type of protections put in place.

THE FUTURE OF SOCIAL MEDIA

Social media connects almost half of the entire global population . It enables people to make their voices heard and to talk to people across the world in real time. However, it can also reinforce prejudices and sow discord, by giving hate speech and misinformation a platform, or by amplifying echo chambers.

In this way, social media algorithms can fuel the fragmentation of societies around the world. And yet they also have the potential to do the opposite.

THE FUTURE OF CYBERSPACE

How to manage these developments is the subject of much discussion – nationally and internationally – at a time when geopolitical tensions are on the rise. The UN Secretary-General has warned of a ‘great fracture’ between world powers, each with their own internet and AI strategy, as well as dominant currency, trade and financial rules and contradictory geopolitical and military views. Such a divide could establish a digital Berlin Wall. Increasingly, digital cooperation between states – and a universal cyberspace that reflects global standards for peace and security, human rights and sustainable development – is seen as crucial to ensuring a united world. A ‘global commitment for digital cooperation’ is a key recommendation by the Secretary-General’s High-level Panel on Digital Cooperation .

FOR MORE INFORMATION

The Sustainable Development Goals

The Age of Digital Interdependence: Report of the UN Secretary-General’s High-level Panel on Digital Cooperation

ILO | Global Commission on the Future of Work

Secretary General’s Address to the 74th Session of the UN General Assembly

Secretary General’s Strategy on New Technology

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Relationships Articles & More

What makes technology good or bad for us, how technology affects our well-being partly depends on whether it strengthens our relationships..

Everyone’s worried about smartphones. Headlines like “ Have smartphones destroyed a generation? ” and “ Smartphone addiction could be changing your brain ” paint a bleak picture of our smartphone addiction and its long-term consequences. This isn’t a new lament—public opinion at the advent of the newspaper worried that people would forego the stimulating pleasures of early-morning conversation in favor of reading the daily .

Is the story of technology really that bad? Certainly there’s some reason to worry. Smartphone use has been linked to serious issues, such as dwindling attention spans , crippling depression , and even increased incidence of brain cancer . Ultimately, though, the same concern comes up again and again: Smartphones can’t be good for us, because they’re replacing the real human connection of the good old days.

Everyone’s heard how today’s teens just sit together in a room, texting, instead of actually talking to each other. But could those teenagers actually be getting something meaningful and real out of all that texting?

The science of connection

A quick glance at the research on technology-mediated interaction reveals an ambivalent literature. Some studies show that time spent socializing online can decrease loneliness , increase well-being , and help the socially anxious learn how to connect to others. Other studies suggest that time spent socializing online can cause loneliness , decrease well-being , and foster a crippling dependence on technology-mediated interaction to the point that users prefer it to face-to-face conversation.

It’s tempting to say that some of these studies must be right and others wrong, but the body of evidence on both sides is a little too robust to be swept under the rug. Instead, the impact of social technology is more complicated. Sometimes, superficially similar behaviors have fundamentally different consequences. Sometimes online socialization is good for you, sometimes it’s bad, and the devil is entirely in the details.

This isn’t a novel proposition; after all, conflicting results started appearing within the first few studies into the internet’s social implications, back in the 1990s. Many people have suggested that to understand the consequences of online socialization, we need to dig deeper into situational factors and circumstances. But what we still have to do is move beyond recognition of the problem to provide an answer: When, how, and why are some online interactions great, while others are dangerous?

The interpersonal connection behaviors framework

As a scientist of close relationships, I can’t help but see online interactions differently from thinkers in other fields. People build relationships by demonstrating their understanding of each other’s needs and perspectives, a cyclical process that brings them closer together. If I tell you my secrets, and you respond supportively, I’m much more likely to confide in you again—and you, in turn, are much more likely to confide in me.

This means that every time two people talk to each other, an opportunity for relationship growth is unfolding. Many times, that opportunity isn’t taken; we aren’t about to have an in-depth conversation with the barista who asks for our order. But connection is always theoretically possible, and that’s true whether we’re interacting online or face-to-face.

Close relationships are the bread and butter of happiness—and even health. Being socially isolated is a stronger predictor of mortality than is smoking multiple cigarettes a day . If we want to understand the role technology plays in our well-being, we need to start with the role it plays in our relationships.

And it turns out that the kind of technology-mediated interactions that lead to positive outcomes are exactly those that are likely to build stronger relationships. Spending your time online by scheduling interactions with people you see day in and day out seems to pay dividends in increased social integration . Using the internet to compensate for being lonely just makes you lonelier; using the internet to actively seek out connection has the opposite effect .

“The kind of technology-mediated interactions that lead to positive outcomes are exactly those that are likely to build stronger relationships”

On the other hand, technology-mediated interactions that don’t really address our close relationships don’t seem to do us any good—and might, in fact, do us harm. Passively scrolling through your Facebook feed without interacting with people has been linked to decreased well-being and increased depression post-Facebook use.

That kind of passive usage is a good example of “ social snacking .” Like eating junk food, social snacking can temporarily satisfy you, but it’s lacking in nutritional content. Looking at your friends’ posts without ever responding might make you feel more connected to them, but it doesn’t build intimacy.

Passive engagement has a second downside, as well: social comparison . When we compare our messy lived experiences to others’ curated self-presentations, we are likely to suffer from lowered self-esteem , happiness, and well-being. This effect is only exacerbated when we consume people’s digital lives without interacting with them, making it all too easy to miss the less photogenic moments of their lives.

Moving forward

The interpersonal connection behaviors framework doesn’t explain everything that might influence our well-being after spending time on social media. The internet poses plenty of other dangers—for two examples, the sense of wasting time or emotional contagion from negative news. However, a focus on meaningful social interaction can help explain decades of contradictory findings. And even if the framework itself is challenged by future work, its central concept is bound to be upheld: We have to study the details of how people are spending their time online if we want to understand its likely effects.

In the meantime, this framework has some practical implications for those worried about their own online time. If you make sure you’re using social media for genuinely social purposes, with conscious thought about how it can improve your life and your relationships, you’ll be far more likely to enjoy your digital existence.

This article was originally published on the Behavioral Scientist . Read the original article .

About the Author

Jenna Clark

Jenna Clark, Ph.D. , is a senior behavioral researcher at Duke University's Center for Advanced Hindsight, where she works to help people make healthy decisions in spite of themselves. She's also interested in how technology contributes to our well-being through its effect on our close personal relationships.

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Promises and Pitfalls of Technology

Politics and privacy, private-sector influence and big tech, state competition and conflict, author biography, how is technology changing the world, and how should the world change technology.

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Josephine Wolff; How Is Technology Changing the World, and How Should the World Change Technology?. Global Perspectives 1 February 2021; 2 (1): 27353. doi: https://doi.org/10.1525/gp.2021.27353

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Technologies are becoming increasingly complicated and increasingly interconnected. Cars, airplanes, medical devices, financial transactions, and electricity systems all rely on more computer software than they ever have before, making them seem both harder to understand and, in some cases, harder to control. Government and corporate surveillance of individuals and information processing relies largely on digital technologies and artificial intelligence, and therefore involves less human-to-human contact than ever before and more opportunities for biases to be embedded and codified in our technological systems in ways we may not even be able to identify or recognize. Bioengineering advances are opening up new terrain for challenging philosophical, political, and economic questions regarding human-natural relations. Additionally, the management of these large and small devices and systems is increasingly done through the cloud, so that control over them is both very remote and removed from direct human or social control. The study of how to make technologies like artificial intelligence or the Internet of Things “explainable” has become its own area of research because it is so difficult to understand how they work or what is at fault when something goes wrong (Gunning and Aha 2019) .

This growing complexity makes it more difficult than ever—and more imperative than ever—for scholars to probe how technological advancements are altering life around the world in both positive and negative ways and what social, political, and legal tools are needed to help shape the development and design of technology in beneficial directions. This can seem like an impossible task in light of the rapid pace of technological change and the sense that its continued advancement is inevitable, but many countries around the world are only just beginning to take significant steps toward regulating computer technologies and are still in the process of radically rethinking the rules governing global data flows and exchange of technology across borders.

These are exciting times not just for technological development but also for technology policy—our technologies may be more advanced and complicated than ever but so, too, are our understandings of how they can best be leveraged, protected, and even constrained. The structures of technological systems as determined largely by government and institutional policies and those structures have tremendous implications for social organization and agency, ranging from open source, open systems that are highly distributed and decentralized, to those that are tightly controlled and closed, structured according to stricter and more hierarchical models. And just as our understanding of the governance of technology is developing in new and interesting ways, so, too, is our understanding of the social, cultural, environmental, and political dimensions of emerging technologies. We are realizing both the challenges and the importance of mapping out the full range of ways that technology is changing our society, what we want those changes to look like, and what tools we have to try to influence and guide those shifts.

Technology can be a source of tremendous optimism. It can help overcome some of the greatest challenges our society faces, including climate change, famine, and disease. For those who believe in the power of innovation and the promise of creative destruction to advance economic development and lead to better quality of life, technology is a vital economic driver (Schumpeter 1942) . But it can also be a tool of tremendous fear and oppression, embedding biases in automated decision-making processes and information-processing algorithms, exacerbating economic and social inequalities within and between countries to a staggering degree, or creating new weapons and avenues for attack unlike any we have had to face in the past. Scholars have even contended that the emergence of the term technology in the nineteenth and twentieth centuries marked a shift from viewing individual pieces of machinery as a means to achieving political and social progress to the more dangerous, or hazardous, view that larger-scale, more complex technological systems were a semiautonomous form of progress in and of themselves (Marx 2010) . More recently, technologists have sharply criticized what they view as a wave of new Luddites, people intent on slowing the development of technology and turning back the clock on innovation as a means of mitigating the societal impacts of technological change (Marlowe 1970) .

At the heart of fights over new technologies and their resulting global changes are often two conflicting visions of technology: a fundamentally optimistic one that believes humans use it as a tool to achieve greater goals, and a fundamentally pessimistic one that holds that technological systems have reached a point beyond our control. Technology philosophers have argued that neither of these views is wholly accurate and that a purely optimistic or pessimistic view of technology is insufficient to capture the nuances and complexity of our relationship to technology (Oberdiek and Tiles 1995) . Understanding technology and how we can make better decisions about designing, deploying, and refining it requires capturing that nuance and complexity through in-depth analysis of the impacts of different technological advancements and the ways they have played out in all their complicated and controversial messiness across the world.

These impacts are often unpredictable as technologies are adopted in new contexts and come to be used in ways that sometimes diverge significantly from the use cases envisioned by their designers. The internet, designed to help transmit information between computer networks, became a crucial vehicle for commerce, introducing unexpected avenues for crime and financial fraud. Social media platforms like Facebook and Twitter, designed to connect friends and families through sharing photographs and life updates, became focal points of election controversies and political influence. Cryptocurrencies, originally intended as a means of decentralized digital cash, have become a significant environmental hazard as more and more computing resources are devoted to mining these forms of virtual money. One of the crucial challenges in this area is therefore recognizing, documenting, and even anticipating some of these unexpected consequences and providing mechanisms to technologists for how to think through the impacts of their work, as well as possible other paths to different outcomes (Verbeek 2006) . And just as technological innovations can cause unexpected harm, they can also bring about extraordinary benefits—new vaccines and medicines to address global pandemics and save thousands of lives, new sources of energy that can drastically reduce emissions and help combat climate change, new modes of education that can reach people who would otherwise have no access to schooling. Regulating technology therefore requires a careful balance of mitigating risks without overly restricting potentially beneficial innovations.

Nations around the world have taken very different approaches to governing emerging technologies and have adopted a range of different technologies themselves in pursuit of more modern governance structures and processes (Braman 2009) . In Europe, the precautionary principle has guided much more anticipatory regulation aimed at addressing the risks presented by technologies even before they are fully realized. For instance, the European Union’s General Data Protection Regulation focuses on the responsibilities of data controllers and processors to provide individuals with access to their data and information about how that data is being used not just as a means of addressing existing security and privacy threats, such as data breaches, but also to protect against future developments and uses of that data for artificial intelligence and automated decision-making purposes. In Germany, Technische Überwachungsvereine, or TÜVs, perform regular tests and inspections of technological systems to assess and minimize risks over time, as the tech landscape evolves. In the United States, by contrast, there is much greater reliance on litigation and liability regimes to address safety and security failings after-the-fact. These different approaches reflect not just the different legal and regulatory mechanisms and philosophies of different nations but also the different ways those nations prioritize rapid development of the technology industry versus safety, security, and individual control. Typically, governance innovations move much more slowly than technological innovations, and regulations can lag years, or even decades, behind the technologies they aim to govern.

In addition to this varied set of national regulatory approaches, a variety of international and nongovernmental organizations also contribute to the process of developing standards, rules, and norms for new technologies, including the International Organization for Standardization­ and the International Telecommunication Union. These multilateral and NGO actors play an especially important role in trying to define appropriate boundaries for the use of new technologies by governments as instruments of control for the state.

At the same time that policymakers are under scrutiny both for their decisions about how to regulate technology as well as their decisions about how and when to adopt technologies like facial recognition themselves, technology firms and designers have also come under increasing criticism. Growing recognition that the design of technologies can have far-reaching social and political implications means that there is more pressure on technologists to take into consideration the consequences of their decisions early on in the design process (Vincenti 1993; Winner 1980) . The question of how technologists should incorporate these social dimensions into their design and development processes is an old one, and debate on these issues dates back to the 1970s, but it remains an urgent and often overlooked part of the puzzle because so many of the supposedly systematic mechanisms for assessing the impacts of new technologies in both the private and public sectors are primarily bureaucratic, symbolic processes rather than carrying any real weight or influence.

Technologists are often ill-equipped or unwilling to respond to the sorts of social problems that their creations have—often unwittingly—exacerbated, and instead point to governments and lawmakers to address those problems (Zuckerberg 2019) . But governments often have few incentives to engage in this area. This is because setting clear standards and rules for an ever-evolving technological landscape can be extremely challenging, because enforcement of those rules can be a significant undertaking requiring considerable expertise, and because the tech sector is a major source of jobs and revenue for many countries that may fear losing those benefits if they constrain companies too much. This indicates not just a need for clearer incentives and better policies for both private- and public-sector entities but also a need for new mechanisms whereby the technology development and design process can be influenced and assessed by people with a wider range of experiences and expertise. If we want technologies to be designed with an eye to their impacts, who is responsible for predicting, measuring, and mitigating those impacts throughout the design process? Involving policymakers in that process in a more meaningful way will also require training them to have the analytic and technical capacity to more fully engage with technologists and understand more fully the implications of their decisions.

At the same time that tech companies seem unwilling or unable to rein in their creations, many also fear they wield too much power, in some cases all but replacing governments and international organizations in their ability to make decisions that affect millions of people worldwide and control access to information, platforms, and audiences (Kilovaty 2020) . Regulators around the world have begun considering whether some of these companies have become so powerful that they violate the tenets of antitrust laws, but it can be difficult for governments to identify exactly what those violations are, especially in the context of an industry where the largest players often provide their customers with free services. And the platforms and services developed by tech companies are often wielded most powerfully and dangerously not directly by their private-sector creators and operators but instead by states themselves for widespread misinformation campaigns that serve political purposes (Nye 2018) .

Since the largest private entities in the tech sector operate in many countries, they are often better poised to implement global changes to the technological ecosystem than individual states or regulatory bodies, creating new challenges to existing governance structures and hierarchies. Just as it can be challenging to provide oversight for government use of technologies, so, too, oversight of the biggest tech companies, which have more resources, reach, and power than many nations, can prove to be a daunting task. The rise of network forms of organization and the growing gig economy have added to these challenges, making it even harder for regulators to fully address the breadth of these companies’ operations (Powell 1990) . The private-public partnerships that have emerged around energy, transportation, medical, and cyber technologies further complicate this picture, blurring the line between the public and private sectors and raising critical questions about the role of each in providing critical infrastructure, health care, and security. How can and should private tech companies operating in these different sectors be governed, and what types of influence do they exert over regulators? How feasible are different policy proposals aimed at technological innovation, and what potential unintended consequences might they have?

Conflict between countries has also spilled over significantly into the private sector in recent years, most notably in the case of tensions between the United States and China over which technologies developed in each country will be permitted by the other and which will be purchased by other customers, outside those two countries. Countries competing to develop the best technology is not a new phenomenon, but the current conflicts have major international ramifications and will influence the infrastructure that is installed and used around the world for years to come. Untangling the different factors that feed into these tussles as well as whom they benefit and whom they leave at a disadvantage is crucial for understanding how governments can most effectively foster technological innovation and invention domestically as well as the global consequences of those efforts. As much of the world is forced to choose between buying technology from the United States or from China, how should we understand the long-term impacts of those choices and the options available to people in countries without robust domestic tech industries? Does the global spread of technologies help fuel further innovation in countries with smaller tech markets, or does it reinforce the dominance of the states that are already most prominent in this sector? How can research universities maintain global collaborations and research communities in light of these national competitions, and what role does government research and development spending play in fostering innovation within its own borders and worldwide? How should intellectual property protections evolve to meet the demands of the technology industry, and how can those protections be enforced globally?

These conflicts between countries sometimes appear to challenge the feasibility of truly global technologies and networks that operate across all countries through standardized protocols and design features. Organizations like the International Organization for Standardization, the World Intellectual Property Organization, the United Nations Industrial Development Organization, and many others have tried to harmonize these policies and protocols across different countries for years, but have met with limited success when it comes to resolving the issues of greatest tension and disagreement among nations. For technology to operate in a global environment, there is a need for a much greater degree of coordination among countries and the development of common standards and norms, but governments continue to struggle to agree not just on those norms themselves but even the appropriate venue and processes for developing them. Without greater global cooperation, is it possible to maintain a global network like the internet or to promote the spread of new technologies around the world to address challenges of sustainability? What might help incentivize that cooperation moving forward, and what could new structures and process for governance of global technologies look like? Why has the tech industry’s self-regulation culture persisted? Do the same traditional drivers for public policy, such as politics of harmonization and path dependency in policy-making, still sufficiently explain policy outcomes in this space? As new technologies and their applications spread across the globe in uneven ways, how and when do they create forces of change from unexpected places?

These are some of the questions that we hope to address in the Technology and Global Change section through articles that tackle new dimensions of the global landscape of designing, developing, deploying, and assessing new technologies to address major challenges the world faces. Understanding these processes requires synthesizing knowledge from a range of different fields, including sociology, political science, economics, and history, as well as technical fields such as engineering, climate science, and computer science. A crucial part of understanding how technology has created global change and, in turn, how global changes have influenced the development of new technologies is understanding the technologies themselves in all their richness and complexity—how they work, the limits of what they can do, what they were designed to do, how they are actually used. Just as technologies themselves are becoming more complicated, so are their embeddings and relationships to the larger social, political, and legal contexts in which they exist. Scholars across all disciplines are encouraged to join us in untangling those complexities.

Josephine Wolff is an associate professor of cybersecurity policy at the Fletcher School of Law and Diplomacy at Tufts University. Her book You’ll See This Message When It Is Too Late: The Legal and Economic Aftermath of Cybersecurity Breaches was published by MIT Press in 2018.

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Essay on Technology – A Boon or Bane for Students

500+ words essay on technology for students.

In this essay on technology, we are going to discuss what technology is, what are its uses, and also what technology can do? First of all, technology refers to the use of technical and scientific knowledge to create, monitor, and design machinery. Also, technology helps in making other goods that aid mankind.

Essay on Technology – A Boon or Bane?

Experts are debating on this topic for years. Also, the technology covered a long way to make human life easier but the negative aspect of it can’t be ignored. Over the years technological advancement has caused a severe rise in pollution . Also, pollution has become a major cause of many health issues. Besides, it has cut off people from society rather than connecting them. Above all, it has taken away many jobs from the workers class.

Familiarity between Technology and Science

As they are completely different fields but they are interdependent on each other. Also, it is due to science contribution we can create new innovation and build new technological tools. Apart from that, the research conducted in laboratories contributes a lot to the development of technologies. On the other hand, technology extends the agenda of science.

Vital Part of our Life

Regularly evolving technology has become an important part of our lives. Also, newer technologies are taking the market by storm and the people are getting used to them in no time. Above all, technological advancement has led to the growth and development of nations.

Negative Aspect of Technology

Although technology is a good thing, everything has two sides. Technology also has two sides one is good and the other is bad. Here are some negative aspects of technology that we are going to discuss.

Get the huge list of more than 500 Essay Topics and Ideas

With new technology the industrialization increases which give birth to many pollutions like air, water, soil, and noise. Also, they cause many health-related issues in animals, birds, and human beings.

Exhaustion of Natural Resources

New technology requires new resources for which the balance is disturbed. Eventually, this will lead to over-exploitation of natural resources which ultimately disturbs the balance of nature.

Unemployment

A single machine can replace many workers. Also, machines can do work at a constant pace for several hours or days without stopping. Due to this, many workers lost their job which ultimately increases unemployment .

Types of Technology

Generally, we judge technology on the same scale but in reality, technology is divided into various types. This includes information technology, industrial technology , architectural technology, creative technology and many more. Let’s discuss these technologies in brief.

Industrial Technology

This technology organizes engineering and manufacturing technology for the manufacturing of machines. Also, this makes the production process easier and convenient.

Creative Technology

This process includes art, advertising, and product design which are made with the help of software. Also, it comprises of 3D printers , virtual reality, computer graphics, and other wearable technologies.

Information Technology

This technology involves the use of telecommunication and computer to send, receive and store information. Internet is the best example of Information technology.

FAQs on Essay on Technology

Q.1 What is Information technology?

A –  It is a form of technology that uses telecommunication and computer systems for study. Also, they send, retrieve, and store data.

Q.2 Is technology harmful to humans?

 A – No, technology is not harmful to human beings until it is used properly. But, misuses of technology can be harmful and deadly.

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• Technology Essay

Essay on Technology

The word "technology" and its uses have immensely changed since the 20th century, and with time, it has continued to evolve ever since. We are living in a world driven by technology. The advancement of technology has played an important role in the development of human civilization, along with cultural changes. Technology provides innovative ways of doing work through various smart and innovative means. 

Electronic appliances, gadgets, faster modes of communication, and transport have added to the comfort factor in our lives. It has helped in improving the productivity of individuals and different business enterprises. Technology has brought a revolution in many operational fields. It has undoubtedly made a very important contribution to the progress that mankind has made over the years.

The Advancement of Technology:

Technology has reduced the effort and time and increased the efficiency of the production requirements in every field. It has made our lives easy, comfortable, healthy, and enjoyable. It has brought a revolution in transport and communication. The advancement of technology, along with science, has helped us to become self-reliant in all spheres of life. With the innovation of a particular technology, it becomes part of society and integral to human lives after a point in time.

Technology is Our Part of Life:

Technology has changed our day-to-day lives. Technology has brought the world closer and better connected. Those days have passed when only the rich could afford such luxuries. Because of the rise of globalisation and liberalisation, all luxuries are now within the reach of the average person. Today, an average middle-class family can afford a mobile phone, a television, a washing machine, a refrigerator, a computer, the Internet, etc. At the touch of a switch, a man can witness any event that is happening in far-off places.  

Benefits of Technology in All Fields: 

We cannot escape technology; it has improved the quality of life and brought about revolutions in various fields of modern-day society, be it communication, transportation, education, healthcare, and many more. Let us learn about it.

Technology in Communication:

With the advent of technology in communication, which includes telephones, fax machines, cellular phones, the Internet, multimedia, and email, communication has become much faster and easier. It has transformed and influenced relationships in many ways. We no longer need to rely on sending physical letters and waiting for several days for a response. Technology has made communication so simple that you can connect with anyone from anywhere by calling them via mobile phone or messaging them using different messaging apps that are easy to download.

Innovation in communication technology has had an immense influence on social life. Human socialising has become easier by using social networking sites, dating, and even matrimonial services available on mobile applications and websites.

Today, the Internet is used for shopping, paying utility bills, credit card bills, admission fees, e-commerce, and online banking. In the world of marketing, many companies are marketing and selling their products and creating brands over the internet. 

In the field of travel, cities, towns, states, and countries are using the web to post detailed tourist and event information. Travellers across the globe can easily find information on tourism, sightseeing, places to stay, weather, maps, timings for events, transportation schedules, and buy tickets to various tourist spots and destinations.

Technology in the Office or Workplace:

Technology has increased efficiency and flexibility in the workspace. Technology has made it easy to work remotely, which has increased the productivity of the employees. External and internal communication has become faster through emails and apps. Automation has saved time, and there is also a reduction in redundancy in tasks. Robots are now being used to manufacture products that consistently deliver the same product without defect until the robot itself fails. Artificial Intelligence and Machine Learning technology are innovations that are being deployed across industries to reap benefits.

Technology has wiped out the manual way of storing files. Now files are stored in the cloud, which can be accessed at any time and from anywhere. With technology, companies can make quick decisions, act faster towards solutions, and remain adaptable. Technology has optimised the usage of resources and connected businesses worldwide. For example, if the customer is based in America, he can have the services delivered from India. They can communicate with each other in an instant. Every company uses business technology like virtual meeting tools, corporate social networks, tablets, and smart customer relationship management applications that accelerate the fast movement of data and information.

Technology in Education:

Technology is making the education industry improve over time. With technology, students and parents have a variety of learning tools at their fingertips. Teachers can coordinate with classrooms across the world and share their ideas and resources online. Students can get immediate access to an abundance of good information on the Internet. Teachers and students can access plenty of resources available on the web and utilise them for their project work, research, etc. Online learning has changed our perception of education. 

The COVID-19 pandemic brought a paradigm shift using technology where school-going kids continued their studies from home and schools facilitated imparting education by their teachers online from home. Students have learned and used 21st-century skills and tools, like virtual classrooms, AR (Augmented Reality), robots, etc. All these have increased communication and collaboration significantly. 

Technology in Banking:

Technology and banking are now inseparable. Technology has boosted digital transformation in how the banking industry works and has vastly improved banking services for their customers across the globe.

Technology has made banking operations very sophisticated and has reduced errors to almost nil, which were somewhat prevalent with manual human activities. Banks are adopting Artificial Intelligence (AI) to increase their efficiency and profits. With the emergence of Internet banking, self-service tools have replaced the traditional methods of banking. 

You can now access your money, handle transactions like paying bills, money transfers, and online purchases from merchants, and monitor your bank statements anytime and from anywhere in the world. Technology has made banking more secure and safe. You do not need to carry cash in your pocket or wallet; the payments can be made digitally using e-wallets. Mobile banking, banking apps, and cybersecurity are changing the face of the banking industry.

Manufacturing and Production Industry Automation:

At present, manufacturing industries are using all the latest technologies, ranging from big data analytics to artificial intelligence. Big data, ARVR (Augmented Reality and Virtual Reality), and IoT (Internet of Things) are the biggest manufacturing industry players. Automation has increased the level of productivity in various fields. It has reduced labour costs, increased efficiency, and reduced the cost of production.

For example, 3D printing is used to design and develop prototypes in the automobile industry. Repetitive work is being done easily with the help of robots without any waste of time. This has also reduced the cost of the products. 

Technology in the Healthcare Industry:

Technological advancements in the healthcare industry have not only improved our personal quality of life and longevity; they have also improved the lives of many medical professionals and students who are training to become medical experts. It has allowed much faster access to the medical records of each patient. 

The Internet has drastically transformed patients' and doctors’ relationships. Everyone can stay up to date on the latest medical discoveries, share treatment information, and offer one another support when dealing with medical issues. Modern technology has allowed us to contact doctors from the comfort of our homes. There are many sites and apps through which we can contact doctors and get medical help. 

Breakthrough innovations in surgery, artificial organs, brain implants, and networked sensors are examples of transformative developments in the healthcare industry. Hospitals use different tools and applications to perform their administrative tasks, using digital marketing to promote their services.

Technology in Agriculture:

Today, farmers work very differently than they would have decades ago. Data analytics and robotics have built a productive food system. Digital innovations are being used for plant breeding and harvesting equipment. Software and mobile devices are helping farmers harvest better. With various data and information available to farmers, they can make better-informed decisions, for example, tracking the amount of carbon stored in soil and helping with climate change.

Disadvantages of Technology:

People have become dependent on various gadgets and machines, resulting in a lack of physical activity and tempting people to lead an increasingly sedentary lifestyle. Even though technology has increased the productivity of individuals, organisations, and the nation, it has not increased the efficiency of machines. Machines cannot plan and think beyond the instructions that are fed into their system. Technology alone is not enough for progress and prosperity. Management is required, and management is a human act. Technology is largely dependent on human intervention. 

Computers and smartphones have led to an increase in social isolation. Young children are spending more time surfing the internet, playing games, and ignoring their real lives. Usage of technology is also resulting in job losses and distracting students from learning. Technology has been a reason for the production of weapons of destruction.

Dependency on technology is also increasing privacy concerns and cyber crimes, giving way to hackers.

FAQs on Technology Essay

1. What is technology?

Technology refers to innovative ways of doing work through various smart means. The advancement of technology has played an important role in the development of human civilization. It has helped in improving the productivity of individuals and businesses.

2. How has technology changed the face of banking?

Technology has made banking operations very sophisticated. With the emergence of Internet banking, self-service tools have replaced the traditional methods of banking. You can now access your money, handle transactions, and monitor your bank statements anytime and from anywhere in the world. Technology has made banking more secure and safe.

3. How has technology brought a revolution in the medical field?

Patients and doctors keep each other up to date on the most recent medical discoveries, share treatment information, and offer each other support when dealing with medical issues. It has allowed much faster access to the medical records of each patient. Modern technology has allowed us to contact doctors from the comfort of our homes. There are many websites and mobile apps through which we can contact doctors and get medical help.

4. Are we dependent on technology?

Yes, today, we are becoming increasingly dependent on technology. Computers, smartphones, and modern technology have helped humanity achieve success and progress. However, in hindsight, people need to continuously build a healthy lifestyle, sorting out personal problems that arise due to technological advancements in different aspects of human life.

Essay on Effects Of Technology On Society

Students are often asked to write an essay on Effects Of Technology On Society in their schools and colleges. And if you’re also looking for the same, we have created 100-word, 250-word, and 500-word essays on the topic.

Let’s take a look…

100 Words Essay on Effects Of Technology On Society

Introduction.

Technology has changed our lives in many ways. It’s like a tool, helping us do things easier and faster. It affects how we work, learn, and connect with others. This essay will talk about how technology impacts our society.

Technology and Communication

Technology has made communication simpler. Before, people used to send letters that took days to reach. Now, with emails and messaging apps, we can talk instantly. This has made our world feel smaller and more connected.

Technology and Education

Technology has also changed how we learn. With online classes and digital books, students can learn from anywhere. This makes education more accessible to everyone, no matter where they live.

Technology and Health

In health care, technology has brought many improvements. Doctors can now use machines to detect diseases early. This means they can treat patients faster and save more lives.

Technology and Environment

Technology can also impact our environment. Some technologies, like renewable energy, help protect our planet. But others, like factories and cars, can cause pollution. It’s important to use technology responsibly.

In conclusion, technology has both good and bad effects on society. It brings many benefits, like better communication and education. But it can also cause problems, like pollution. We need to use technology wisely to make the most of its benefits.

250 Words Essay on Effects Of Technology On Society

Technology has become an essential part of our society. It has changed the way we live, work, and interact with each other. This essay will discuss the effects of technology on society.

Communication

One of the most noticeable changes is in the way we communicate. Before, we used to send letters or make phone calls. Now, we use emails, social media, and video calls. This has made it easier to stay in touch with people around the world.

Technology has also changed education. Students can now learn from home using online classes. They can access a lot of information on the internet. This has made learning more flexible and accessible.

In the workplace, technology has increased productivity. Computers, software, and the internet have made work faster and more efficient. They have also created new jobs in the tech industry.

Entertainment

Our entertainment has also been affected. We now stream movies and music online. We play video games on consoles and computers. This has made entertainment more varied and accessible.

In conclusion, technology has greatly affected society. It has changed the way we communicate, learn, work, and entertain ourselves. While it has brought many benefits, it is important to use it responsibly. We must make sure it does not lead to problems like online bullying or addiction.

500 Words Essay on Effects Of Technology On Society

Technology has become a vital part of our daily lives. It is hard to imagine a day without using some form of technology. From smartphones to computers, technology is everywhere. It has changed the way we live, work, and play. This essay will explore the effects of technology on society.

Improvement in Communication

One of the main ways that technology has affected society is in the area of communication. In the past, people had to write letters or travel long distances to communicate. Now, with the help of technology, we can talk to anyone, anywhere, anytime. Emails, social media, and video calls have made it easy to stay in touch with friends and family. This has made the world feel like a smaller place.

Changes in Education

Technology has also changed the way we learn. Now, students can learn from anywhere using online classes. They can access a lot of information on the internet. This has made learning more flexible and accessible. It also helps students to learn at their own pace.

Impact on Health

Technology has had a big impact on health care. Doctors can now use advanced machines to diagnose and treat diseases. This has improved the quality of health care and saved many lives. On the other hand, too much use of technology can lead to health problems like eye strain and lack of physical activity.

Influence on Business

In the world of business, technology has brought about many changes. Businesses can now reach customers all over the world through the internet. They can also use technology to improve their products and services. But, this also means that businesses need to keep up with the latest technology to stay competitive.

Effect on Environment

Technology has both positive and negative effects on the environment. On one hand, technology can help to reduce waste and save energy. On the other hand, making and using technology can cause pollution and use up natural resources.

In conclusion, technology has a big impact on society. It has changed the way we communicate, learn, work, and live. It has many benefits, but it also has some drawbacks. It is important to use technology wisely to make the most of its benefits and reduce its negative effects. As we move forward, we need to think about how we can use technology to make our lives better and to help our society grow.

That’s it! I hope the essay helped you.

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Technology and Its Impact on Humanity

Introduction, technology and discoveries, the internet, what does the term ‘human’ mean, internet’s contribution to loss of human qualities, delegation of certain aspects of our lives to technology, people’s reactions to advancement of technology, reference list.

In this paper, new technological developments have been discussed with special focus to the internet. Effects of the use of internet on what is truly human have been addressed and especially the negative effects. This has mostly arisen as a result of the delegation of certain aspects of peoples lives. There have been different reactions to the modern technology and specifically the use of internet with some embracing the use of internet to carry out different functions, others having a negative opinion about it while others holding a neutral opinion.

People have throughout the ages tried to simplify life through different means. More ways of improving the quality of life on earth are being discovered. A very common way that has been used is the use of technology. There have been a lot of technological discoveries recently and the rate at which more inventions are being made is still very high (Berg, 2009).

More new gargets are being fabricated and the existing ones are also being refurbished making the world more and more developed technologically. The issue of technological discoveries is not a very new concept because there have been numerous discoveries throughout history. From discovery of medicine like penicillin, cars, electricity and many other things which were non existent in the old age period.

Most of the technological discoveries have been applauded by people because of their ability to make life a better (TheQuestionConcerningTechnlogy, n. d ) . For example the invention of mobile phones has made communication to any part of the world very easy. This is a lot easier and faster compared to the use of letters and telephones were used before this discovery. The invention of cell phones is one of the major successes in technology. Many homes today do not see a need for the telephones which were not portable because all members of the family own cell phones which they carry everywhere.

Technology is a common term in this age with too many possible definitions. According to Heidegger, it can mean a way that is used to achieve something. It can also be used to mean a human action (Adeline, 2009). The two definitions are however related because human actions are involved in achieving a certain intended goal. Part of technology is also the things which have been invented to help improve the human life by making work easier, faster and more efficient.

In the past, the use of simple stone or metallic tools was employed in carrying out certain tasks as there were no complex tools. More discoveries have continued to be made throughout generations from inventions of simple things like fire to complex things like robots. Recently, there have been a lot of discoveries which are a threat to humanity.

For example, the latest discovery by scientists of ‘Home Assistant Robot’ (HAR) was designed to help in household tasks. They can carry out the not so complex tasks like cleaning and arranging furniture. It is amazing how the robots work because they have been made as human like as they can learn and even rectify their own mistakes (Purdy, n. d).

There are also those robots which are capable of making breakfast and serving one the breakfast in bed. This is a step forward technologically and with this trend, we are left to wonder what scientists are going to make next. The accuracy with which these robots perform tasks that could only be done by human beings is amazing and scaring at the same time.

According to Adeline (2009), the rising trend of numerous discoveries some which are completely or partially replacing human activity has led to some fundamental questions: has technology made our lives better or it has made us worse off? Have we been doing the right thing by allowing most of our lives to be driven by technology? Is this trend leading us to be liberated or it is going to be our undoing in the long run? In this paper, these questions will be tackled as we examine a very common technological instrument that is being used by almost everyone who can access the computer, the internet.

This is one of the most outstanding discoveries in human history. The record of existence of internet dates back to the 19 th century when the computers were invented.

A series of interconnected networks is basically what internet is all about. Some services available on the internet are World Wide Web, and other communication services for example messaging services and electronic mails. The internet has been a useful tool to many people ranging from the students, researchers, business people and even ordinary people seeking for information or entertainment. By use of internet services, one can access any material required at the click of a button.

This has come with a lot of advantages and disadvantages too. With the ever increasing information available in the internet, it is threatening to become a source of destruction for what is essential in life. The major threat caused by the internet is the threat of separating people from what is truly human. In the rest of the paper, we shall examine how internet has threatened to rob people of what is truly human after understanding what ‘truly human’ exactly mean.

The human nature is a term that can have different definitions from different perspectives. The definition differs from one religion to another and also is defined differently by philosophers. In this discussion, we will consider the human nature as those unique features found in human beings. They comprise of how an individual reasons, feels or does things.

These unique features occur naturally in all human beings. What is essentially human therefore include characteristic features like being able to communicate with each other, socialization, ability to think and invent new things, reasoning capability among other distinctive features common to human beings only.

Internet has undoubtedly contributed massively to loss of important human qualities. One of the ways is by increasing the distance between how people communicate and how they interact (Berg, 2009). The current trend is pointing towards a direction that physical interaction and seeing face to face as a communication strategy will be very rare or even impossible.

This is due to over reliance on the social sites like Facebook, Twitter and other electronic messaging and mail services for communication. This is a dangerous trend because socialization at a personal level is slowly being replaced by communication through the available social networks. Since socialization is one of the distinct qualities of human beings which make them distinct from animals, it becomes an issue when the quality is robbed from them by technology.

Facebook and other social networks are not entirely bad and especially when communicating with people and friends one meets but has no other way of reaching them. It becomes a menace when one uses it as a means of communicating with people who one has access to and can use other more interactive ways to communicate for example verbal communication. Meeting with people and talking to them is better than the use of internet.

Another quality that is slowly but surely being eroded by technology and especially the social networks sites is that of truthfulness and honesty Heidegger, 1977). It is not an uncommon phenomenon for people to lie when using social networks. People are comfortable lying about any aspect of their lives and mostly concerning their marital status. This has led to the disintegration of the family unit which is a very important part of the human being. The quality of being honest is therefore on the verge of disappearing from the human beings because of the use of the internet.

Although internet has been an important source for people seeking for new knowledge and information, it has been blamed for other serious problems related to generation of new information. Creativity among individuals is slowly disappearing and is being replaced by the internet to search for any material one may need even if one is in a position to generate his/her original ideas.

Due to this growing trend and especially among the scholars, the use of human mind to think and come up with useful information is declining hence fewer discoveries or copying from the already existing inventions. The question that therefore comes to mind is the fate of human beings in the coming years if things do not change (Wright, n. d). Such a way of doing things also limits the creative minds that could have come up with great inventions if they were not limited by the use of internet.

People wonder why they should go to the pains of thinking about certain important concepts when they can easily and readily find them in the internet. Everything can now be goggled and information availed immediately. Important things like birthdays, anniversaries and appointments can also be found on social networks sites like the Facebook. This has contributed to the loss of our capability to think and come up with new things as human beings which are essential qualities of being truly human.

It is odd how people would think of any one who does not have an account with the social networks as being backward. People consider such connections as big achievements and especially when one has many friends in his/her account. The question however is the importance and the value that such adds to ones life. On the contrary, one spends a lot of time in updating and commenting on peoples’ statuses instead of doing other productive works.

This reduces an individual’s productivity in the area of work because it is very common for people to open their social networks accounts at the place of work. Cases of addiction to accessing these sites are also very common. Some people spend excessively long hours chatting with friends or doing other unimportant things in the internet or using the social networks. Again, this is harmful both to the individual and the people around him/her because it reduces the time for interaction with others gradually and makes one live in isolation and interpersonal skills and other skills necessary for living are not acquired.

It is also common for people to meet friends and start relationships through the internet. Many people are turning to the internet as a site for meeting spouses and even getting married. This is because the time one spends on the internet is too much and there is hardly enough time left for one to visit social places where there are high chances of meeting new people and interacting face to face.

The problem with relationships formed through the internet is that most of them are based on lies and many people end up being deceived into marrying the wrong people or end up losing valuables or even their lives. Since marriage is supposed to be based on fundamental human qualities like love and companionship, marriages established between people who meet through the internet are likely to lack these important human qualities.

Children have also suffered from the problems that technology has brought (Eisenstein, chapter 2). This is because parents have left the responsibility of bringing up children to technology and they hardly spend enough time with them. The strong bond that is supposed to exist between the parents and their children is longer there.

There is too much reliance on the internet for the children to learn what they should otherwise have learnt from their parents. Because of easy access to the internet by the children, moral decadence has been on the rise (Dreyfus, 1999). Cases of children accessing pornographic and other harmful information are very common. The internet therefore corrupts the good morals of the children because of the unlimited access to these sites by them.

The internet can be used as a means of getting money. This depends on the complexity of the job one does use the internet services. It is therefore possible for people to work from their homes at their convenience with many people preferring doing this. In attempt to earn more, one ends up spending more time on the internet than with the family. One also becomes separated from other people because one just works alone without any interaction with clients.

Initially, technological discoveries were designed to make life easier and better. For example, the internet was majorly used for research purposes and communication through emails. This was done moderately and there were few cases of misuse of these services.

No doubt these services served a very important role in communication industry by making it faster and cheaper and still do have a vital role in communication. It is very easy to reach any one in any part of the world cheaply and very conveniently (Dreyfus, 1999). Important information for any one intending to research a particular topic is also available in the internet.

However certain important aspects have been left entirely to the internet. When things which make us human, like socialization are entirely left to the internet, it becomes a major problem that needs to be addressed without delay. Internet in itself is not a problem per se, but the problem arises when there is misuse of it, which has been the case in the recent past. Such misuse is what, if not addressed promptly would lead to a technological calamity on humanity.

When vital aspects of human life are delegated to machines, we are left to wonder what would happen in case the machines fail to follow the commands given to them by human beings (Montalbano, n. d ) . If ever such a thing happens, it would be catastrophic for the human race which has not been so keen in addressing this problem. The dangers of such delegation are therefore very real and something needs to be done before a problem of greater magnitude than there is now arises.

People have put a lot of trust and confidence in technology and have forgotten to take care of what makes them truly human. Ignoring aspects of importance like creativity and leaving them to the internet to get any information shows great negligence and is a threat also to new inventions which are very necessary in this age.

It is important to note that this delegation is already having many negative effects on people. For example, the use of internet has been associated with increase in the rate of crimes. People have been conned and others have lost many valuables through internet crimes (Wright, n. d). There have been cases of people accessing confidential information from companies or even government agencies through the internet. Worse still, important information has been lost in some cases never to be recovered again.

These are just some of the possible problems that could arise when important aspects are delegated to technology. Other worse problems could arise if people continue with the trend of having a lot of trust in the internet and using it to carry out human activities that could be done by people themselves. This is a wake up call to the people to rethink about their opinion on the internet services and other technological advancements that are a threat to the future.

There have been different reactions to modern technology. Some are pessimistic about the different discoveries for example some philosophers like Herbert Marcuse see technology as having adverse effects on the society. He therefore views technology as a hindrance to people’s liberty and a cause of psychological ill health.

Other philosophers like Martin Heidegger hold the view that technology is not entirely bad but it depends with how an individual applies it (Eisenstein, chapter 2). He is of the opinion that people should not overly rely on technology to the point of it enslaving them. On the other hand, people should not shun technology and try to do things without using it because it is a helpful tool to achieving a certain desired goal and efforts to avoid it may be futile. According to Kuang, 2002), there should be a balance in the use and also in how people view technology so that it becomes a useful tool in their hands instead of being a source of destruction and enslavement.

The other question that has been raised is whether computers then can be programmed to behave like human beings. This is because it seems that this is the direction that latest developments have been heading. Otherwise how else can one describe the efforts of scientists to come up with robots which can carry out human activities very efficiently?

Programming computers to be more human may be a great challenge because computers can not perform all human functions. They can only be fed with data and commands they are supposed to obey (Wright, n. d). It is human beings who come up with facts as they try to create new things that are beneficial to them.

People are therefore responsible for organization of their world by using their creative minds to improve it. It is impossible then to achieve this kind of organization done by the human beings through other means like the use of technology. Human beings and technology need to work together to achieve a balance instead of leaving things to be done by technology alone or by use of human efforts alone which may be futile in the end.

Technology is a useful tool in the hands of people which helps to achieve a lot that can not be done by human means only. When used appropriately, modern technology and especially the internet can be said to be one of the best discoveries in the human history. On the contrary, technology if not used well as a servant and not a master can have devastating effects on people.

The internet for example can be very dangerous and can bring about negative effects on the society and vital values and morals. Caution needs to be taken when dealing with the modern technology, particularly the internet to avoid future problems.

Adeline, A. (2009). Discoveries of Technologies: information about world’s latest and Smart Technologies. Web.

Berg, K. K. (2009). The Impact Of The Internet On Human Behavior . Redding: Third Door Media. Web.

Dreyfus, H. L. (1999). What Computers Still Can’t Do: A Critique of Artificial Reason. Cambridge: The MIT Press. Web.

Eisenstein. C. (2008). The Ascent of Humanity. Web.

Heidegger, M. (1977). ‘‘the Question Concerning Technology,’’ in The Question Concerning Technology and Other Essays, trans. W. Lovitt . New York: Harper Torchbooks, 1977, pp. 25–6.

Kuang, W.T. (2002). Technology, Humanity, Conscience . Philadelphia: Missionary Institute. Web.

Montalbano, D. (n. d) Humanity among Technology. Web.

Purdy, R. (n. d). The Internet: Boon or Detriment to Society? Web.

TheQuestionConcerningTechnlogy . (n. d). Web.

Wright, C. (2007). Technology could soon replace human beings on frontline . Web.

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Home — Essay Samples — Life — Impact — Pros And Cons Of Technology

Pros and Cons of Technology

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Published: Mar 19, 2024

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Table of contents

I. introduction, narrower issues related to the pros and cons of technology, a. social media and its impact on relationships, b. automation and the future of work, c. accessibility and equity in the digital age.

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How artificial intelligence is transforming the world

Subscribe to techstream, darrell m. west and darrell m. west senior fellow - center for technology innovation , douglas dillon chair in governmental studies john r. allen john r. allen.

April 24, 2018

Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making—and already it is transforming every walk of life. In this report, Darrell West and John Allen discuss AI’s application across a variety of sectors, address issues in its development, and offer recommendations for getting the most out of AI while still protecting important human values.

Table of Contents I. Qualities of artificial intelligence II. Applications in diverse sectors III. Policy, regulatory, and ethical issues IV. Recommendations V. Conclusion

• 49 min read

Most people are not very familiar with the concept of artificial intelligence (AI). As an illustration, when 1,500 senior business leaders in the United States in 2017 were asked about AI, only 17 percent said they were familiar with it. 1 A number of them were not sure what it was or how it would affect their particular companies. They understood there was considerable potential for altering business processes, but were not clear how AI could be deployed within their own organizations.

Despite its widespread lack of familiarity, AI is a technology that is transforming every walk of life. It is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decisionmaking. Our hope through this comprehensive overview is to explain AI to an audience of policymakers, opinion leaders, and interested observers, and demonstrate how AI already is altering the world and raising important questions for society, the economy, and governance.

In this paper, we discuss novel applications in finance, national security, health care, criminal justice, transportation, and smart cities, and address issues such as data access problems, algorithmic bias, AI ethics and transparency, and legal liability for AI decisions. We contrast the regulatory approaches of the U.S. and European Union, and close by making a number of recommendations for getting the most out of AI while still protecting important human values. 2

In order to maximize AI benefits, we recommend nine steps for going forward:

• Encourage greater data access for researchers without compromising users’ personal privacy,
• invest more government funding in unclassified AI research,
• promote new models of digital education and AI workforce development so employees have the skills needed in the 21 st -century economy,
• create a federal AI advisory committee to make policy recommendations,
• engage with state and local officials so they enact effective policies,
• regulate broad AI principles rather than specific algorithms,
• take bias complaints seriously so AI does not replicate historic injustice, unfairness, or discrimination in data or algorithms,
• maintain mechanisms for human oversight and control, and
• penalize malicious AI behavior and promote cybersecurity.

Qualities of artificial intelligence

Although there is no uniformly agreed upon definition, AI generally is thought to refer to “machines that respond to stimulation consistent with traditional responses from humans, given the human capacity for contemplation, judgment and intention.” 3  According to researchers Shubhendu and Vijay, these software systems “make decisions which normally require [a] human level of expertise” and help people anticipate problems or deal with issues as they come up. 4 As such, they operate in an intentional, intelligent, and adaptive manner.

Intentionality

Artificial intelligence algorithms are designed to make decisions, often using real-time data. They are unlike passive machines that are capable only of mechanical or predetermined responses. Using sensors, digital data, or remote inputs, they combine information from a variety of different sources, analyze the material instantly, and act on the insights derived from those data. With massive improvements in storage systems, processing speeds, and analytic techniques, they are capable of tremendous sophistication in analysis and decisionmaking.

Artificial intelligence is already altering the world and raising important questions for society, the economy, and governance.

Intelligence

AI generally is undertaken in conjunction with machine learning and data analytics. 5 Machine learning takes data and looks for underlying trends. If it spots something that is relevant for a practical problem, software designers can take that knowledge and use it to analyze specific issues. All that is required are data that are sufficiently robust that algorithms can discern useful patterns. Data can come in the form of digital information, satellite imagery, visual information, text, or unstructured data.

Adaptability

AI systems have the ability to learn and adapt as they make decisions. In the transportation area, for example, semi-autonomous vehicles have tools that let drivers and vehicles know about upcoming congestion, potholes, highway construction, or other possible traffic impediments. Vehicles can take advantage of the experience of other vehicles on the road, without human involvement, and the entire corpus of their achieved “experience” is immediately and fully transferable to other similarly configured vehicles. Their advanced algorithms, sensors, and cameras incorporate experience in current operations, and use dashboards and visual displays to present information in real time so human drivers are able to make sense of ongoing traffic and vehicular conditions. And in the case of fully autonomous vehicles, advanced systems can completely control the car or truck, and make all the navigational decisions.

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Applications in diverse sectors

AI is not a futuristic vision, but rather something that is here today and being integrated with and deployed into a variety of sectors. This includes fields such as finance, national security, health care, criminal justice, transportation, and smart cities. There are numerous examples where AI already is making an impact on the world and augmenting human capabilities in significant ways. 6

One of the reasons for the growing role of AI is the tremendous opportunities for economic development that it presents. A project undertaken by PriceWaterhouseCoopers estimated that “artificial intelligence technologies could increase global GDP by $15.7 trillion, a full 14%, by 2030.” 7 That includes advances of $7 trillion in China, $3.7 trillion in North America, $1.8 trillion in Northern Europe, $1.2 trillion for Africa and Oceania, $0.9 trillion in the rest of Asia outside of China, $0.7 trillion in Southern Europe, and $0.5 trillion in Latin America. China is making rapid strides because it has set a national goal of investing $150 billion in AI and becoming the global leader in this area by 2030.

Meanwhile, a McKinsey Global Institute study of China found that “AI-led automation can give the Chinese economy a productivity injection that would add 0.8 to 1.4 percentage points to GDP growth annually, depending on the speed of adoption.” 8 Although its authors found that China currently lags the United States and the United Kingdom in AI deployment, the sheer size of its AI market gives that country tremendous opportunities for pilot testing and future development.

Investments in financial AI in the United States tripled between 2013 and 2014 to a total of $12.2 billion. 9 According to observers in that sector, “Decisions about loans are now being made by software that can take into account a variety of finely parsed data about a borrower, rather than just a credit score and a background check.” 10 In addition, there are so-called robo-advisers that “create personalized investment portfolios, obviating the need for stockbrokers and financial advisers.” 11 These advances are designed to take the emotion out of investing and undertake decisions based on analytical considerations, and make these choices in a matter of minutes.

A prominent example of this is taking place in stock exchanges, where high-frequency trading by machines has replaced much of human decisionmaking. People submit buy and sell orders, and computers match them in the blink of an eye without human intervention. Machines can spot trading inefficiencies or market differentials on a very small scale and execute trades that make money according to investor instructions. 12 Powered in some places by advanced computing, these tools have much greater capacities for storing information because of their emphasis not on a zero or a one, but on “quantum bits” that can store multiple values in each location. 13 That dramatically increases storage capacity and decreases processing times.

Fraud detection represents another way AI is helpful in financial systems. It sometimes is difficult to discern fraudulent activities in large organizations, but AI can identify abnormalities, outliers, or deviant cases requiring additional investigation. That helps managers find problems early in the cycle, before they reach dangerous levels. 14

National security

AI plays a substantial role in national defense. Through its Project Maven, the American military is deploying AI “to sift through the massive troves of data and video captured by surveillance and then alert human analysts of patterns or when there is abnormal or suspicious activity.” 15 According to Deputy Secretary of Defense Patrick Shanahan, the goal of emerging technologies in this area is “to meet our warfighters’ needs and to increase [the] speed and agility [of] technology development and procurement.” 16

Artificial intelligence will accelerate the traditional process of warfare so rapidly that a new term has been coined: hyperwar.

The big data analytics associated with AI will profoundly affect intelligence analysis, as massive amounts of data are sifted in near real time—if not eventually in real time—thereby providing commanders and their staffs a level of intelligence analysis and productivity heretofore unseen. Command and control will similarly be affected as human commanders delegate certain routine, and in special circumstances, key decisions to AI platforms, reducing dramatically the time associated with the decision and subsequent action. In the end, warfare is a time competitive process, where the side able to decide the fastest and move most quickly to execution will generally prevail. Indeed, artificially intelligent intelligence systems, tied to AI-assisted command and control systems, can move decision support and decisionmaking to a speed vastly superior to the speeds of the traditional means of waging war. So fast will be this process, especially if coupled to automatic decisions to launch artificially intelligent autonomous weapons systems capable of lethal outcomes, that a new term has been coined specifically to embrace the speed at which war will be waged: hyperwar.

While the ethical and legal debate is raging over whether America will ever wage war with artificially intelligent autonomous lethal systems, the Chinese and Russians are not nearly so mired in this debate, and we should anticipate our need to defend against these systems operating at hyperwar speeds. The challenge in the West of where to position “humans in the loop” in a hyperwar scenario will ultimately dictate the West’s capacity to be competitive in this new form of conflict. 17

Just as AI will profoundly affect the speed of warfare, the proliferation of zero day or zero second cyber threats as well as polymorphic malware will challenge even the most sophisticated signature-based cyber protection. This forces significant improvement to existing cyber defenses. Increasingly, vulnerable systems are migrating, and will need to shift to a layered approach to cybersecurity with cloud-based, cognitive AI platforms. This approach moves the community toward a “thinking” defensive capability that can defend networks through constant training on known threats. This capability includes DNA-level analysis of heretofore unknown code, with the possibility of recognizing and stopping inbound malicious code by recognizing a string component of the file. This is how certain key U.S.-based systems stopped the debilitating “WannaCry” and “Petya” viruses.

Preparing for hyperwar and defending critical cyber networks must become a high priority because China, Russia, North Korea, and other countries are putting substantial resources into AI. In 2017, China’s State Council issued a plan for the country to “build a domestic industry worth almost $150 billion” by 2030. 18 As an example of the possibilities, the Chinese search firm Baidu has pioneered a facial recognition application that finds missing people. In addition, cities such as Shenzhen are providing up to $1 million to support AI labs. That country hopes AI will provide security, combat terrorism, and improve speech recognition programs. 19 The dual-use nature of many AI algorithms will mean AI research focused on one sector of society can be rapidly modified for use in the security sector as well. 20

Health care

AI tools are helping designers improve computational sophistication in health care. For example, Merantix is a German company that applies deep learning to medical issues. It has an application in medical imaging that “detects lymph nodes in the human body in Computer Tomography (CT) images.” 21 According to its developers, the key is labeling the nodes and identifying small lesions or growths that could be problematic. Humans can do this, but radiologists charge $100 per hour and may be able to carefully read only four images an hour. If there were 10,000 images, the cost of this process would be $250,000, which is prohibitively expensive if done by humans.

What deep learning can do in this situation is train computers on data sets to learn what a normal-looking versus an irregular-appearing lymph node is. After doing that through imaging exercises and honing the accuracy of the labeling, radiological imaging specialists can apply this knowledge to actual patients and determine the extent to which someone is at risk of cancerous lymph nodes. Since only a few are likely to test positive, it is a matter of identifying the unhealthy versus healthy node.

AI has been applied to congestive heart failure as well, an illness that afflicts 10 percent of senior citizens and costs $35 billion each year in the United States. AI tools are helpful because they “predict in advance potential challenges ahead and allocate resources to patient education, sensing, and proactive interventions that keep patients out of the hospital.” 22

Criminal justice

AI is being deployed in the criminal justice area. The city of Chicago has developed an AI-driven “Strategic Subject List” that analyzes people who have been arrested for their risk of becoming future perpetrators. It ranks 400,000 people on a scale of 0 to 500, using items such as age, criminal activity, victimization, drug arrest records, and gang affiliation. In looking at the data, analysts found that youth is a strong predictor of violence, being a shooting victim is associated with becoming a future perpetrator, gang affiliation has little predictive value, and drug arrests are not significantly associated with future criminal activity. 23

Judicial experts claim AI programs reduce human bias in law enforcement and leads to a fairer sentencing system. R Street Institute Associate Caleb Watney writes:

Empirically grounded questions of predictive risk analysis play to the strengths of machine learning, automated reasoning and other forms of AI. One machine-learning policy simulation concluded that such programs could be used to cut crime up to 24.8 percent with no change in jailing rates, or reduce jail populations by up to 42 percent with no increase in crime rates. 24

However, critics worry that AI algorithms represent “a secret system to punish citizens for crimes they haven’t yet committed. The risk scores have been used numerous times to guide large-scale roundups.” 25 The fear is that such tools target people of color unfairly and have not helped Chicago reduce the murder wave that has plagued it in recent years.

Despite these concerns, other countries are moving ahead with rapid deployment in this area. In China, for example, companies already have “considerable resources and access to voices, faces and other biometric data in vast quantities, which would help them develop their technologies.” 26 New technologies make it possible to match images and voices with other types of information, and to use AI on these combined data sets to improve law enforcement and national security. Through its “Sharp Eyes” program, Chinese law enforcement is matching video images, social media activity, online purchases, travel records, and personal identity into a “police cloud.” This integrated database enables authorities to keep track of criminals, potential law-breakers, and terrorists. 27 Put differently, China has become the world’s leading AI-powered surveillance state.

Transportation

Transportation represents an area where AI and machine learning are producing major innovations. Research by Cameron Kerry and Jack Karsten of the Brookings Institution has found that over $80 billion was invested in autonomous vehicle technology between August 2014 and June 2017. Those investments include applications both for autonomous driving and the core technologies vital to that sector. 28

Autonomous vehicles—cars, trucks, buses, and drone delivery systems—use advanced technological capabilities. Those features include automated vehicle guidance and braking, lane-changing systems, the use of cameras and sensors for collision avoidance, the use of AI to analyze information in real time, and the use of high-performance computing and deep learning systems to adapt to new circumstances through detailed maps. 29

Light detection and ranging systems (LIDARs) and AI are key to navigation and collision avoidance. LIDAR systems combine light and radar instruments. They are mounted on the top of vehicles that use imaging in a 360-degree environment from a radar and light beams to measure the speed and distance of surrounding objects. Along with sensors placed on the front, sides, and back of the vehicle, these instruments provide information that keeps fast-moving cars and trucks in their own lane, helps them avoid other vehicles, applies brakes and steering when needed, and does so instantly so as to avoid accidents.

Advanced software enables cars to learn from the experiences of other vehicles on the road and adjust their guidance systems as weather, driving, or road conditions change. This means that software is the key—not the physical car or truck itself.

Since these cameras and sensors compile a huge amount of information and need to process it instantly to avoid the car in the next lane, autonomous vehicles require high-performance computing, advanced algorithms, and deep learning systems to adapt to new scenarios. This means that software is the key, not the physical car or truck itself. 30 Advanced software enables cars to learn from the experiences of other vehicles on the road and adjust their guidance systems as weather, driving, or road conditions change. 31

Ride-sharing companies are very interested in autonomous vehicles. They see advantages in terms of customer service and labor productivity. All of the major ride-sharing companies are exploring driverless cars. The surge of car-sharing and taxi services—such as Uber and Lyft in the United States, Daimler’s Mytaxi and Hailo service in Great Britain, and Didi Chuxing in China—demonstrate the opportunities of this transportation option. Uber recently signed an agreement to purchase 24,000 autonomous cars from Volvo for its ride-sharing service. 32

However, the ride-sharing firm suffered a setback in March 2018 when one of its autonomous vehicles in Arizona hit and killed a pedestrian. Uber and several auto manufacturers immediately suspended testing and launched investigations into what went wrong and how the fatality could have occurred. 33 Both industry and consumers want reassurance that the technology is safe and able to deliver on its stated promises. Unless there are persuasive answers, this accident could slow AI advancements in the transportation sector.

Smart cities

Metropolitan governments are using AI to improve urban service delivery. For example, according to Kevin Desouza, Rashmi Krishnamurthy, and Gregory Dawson:

The Cincinnati Fire Department is using data analytics to optimize medical emergency responses. The new analytics system recommends to the dispatcher an appropriate response to a medical emergency call—whether a patient can be treated on-site or needs to be taken to the hospital—by taking into account several factors, such as the type of call, location, weather, and similar calls. 34

Since it fields 80,000 requests each year, Cincinnati officials are deploying this technology to prioritize responses and determine the best ways to handle emergencies. They see AI as a way to deal with large volumes of data and figure out efficient ways of responding to public requests. Rather than address service issues in an ad hoc manner, authorities are trying to be proactive in how they provide urban services.

Cincinnati is not alone. A number of metropolitan areas are adopting smart city applications that use AI to improve service delivery, environmental planning, resource management, energy utilization, and crime prevention, among other things. For its smart cities index, the magazine Fast Company ranked American locales and found Seattle, Boston, San Francisco, Washington, D.C., and New York City as the top adopters. Seattle, for example, has embraced sustainability and is using AI to manage energy usage and resource management. Boston has launched a “City Hall To Go” that makes sure underserved communities receive needed public services. It also has deployed “cameras and inductive loops to manage traffic and acoustic sensors to identify gun shots.” San Francisco has certified 203 buildings as meeting LEED sustainability standards. 35

Through these and other means, metropolitan areas are leading the country in the deployment of AI solutions. Indeed, according to a National League of Cities report, 66 percent of American cities are investing in smart city technology. Among the top applications noted in the report are “smart meters for utilities, intelligent traffic signals, e-governance applications, Wi-Fi kiosks, and radio frequency identification sensors in pavement.” 36

Policy, regulatory, and ethical issues

These examples from a variety of sectors demonstrate how AI is transforming many walks of human existence. The increasing penetration of AI and autonomous devices into many aspects of life is altering basic operations and decisionmaking within organizations, and improving efficiency and response times.

At the same time, though, these developments raise important policy, regulatory, and ethical issues. For example, how should we promote data access? How do we guard against biased or unfair data used in algorithms? What types of ethical principles are introduced through software programming, and how transparent should designers be about their choices? What about questions of legal liability in cases where algorithms cause harm? 37

The increasing penetration of AI into many aspects of life is altering decisionmaking within organizations and improving efficiency. At the same time, though, these developments raise important policy, regulatory, and ethical issues.

Data access problems

The key to getting the most out of AI is having a “data-friendly ecosystem with unified standards and cross-platform sharing.” AI depends on data that can be analyzed in real time and brought to bear on concrete problems. Having data that are “accessible for exploration” in the research community is a prerequisite for successful AI development. 38

According to a McKinsey Global Institute study, nations that promote open data sources and data sharing are the ones most likely to see AI advances. In this regard, the United States has a substantial advantage over China. Global ratings on data openness show that U.S. ranks eighth overall in the world, compared to 93 for China. 39

But right now, the United States does not have a coherent national data strategy. There are few protocols for promoting research access or platforms that make it possible to gain new insights from proprietary data. It is not always clear who owns data or how much belongs in the public sphere. These uncertainties limit the innovation economy and act as a drag on academic research. In the following section, we outline ways to improve data access for researchers.

Biases in data and algorithms

In some instances, certain AI systems are thought to have enabled discriminatory or biased practices. 40 For example, Airbnb has been accused of having homeowners on its platform who discriminate against racial minorities. A research project undertaken by the Harvard Business School found that “Airbnb users with distinctly African American names were roughly 16 percent less likely to be accepted as guests than those with distinctly white names.” 41

Racial issues also come up with facial recognition software. Most such systems operate by comparing a person’s face to a range of faces in a large database. As pointed out by Joy Buolamwini of the Algorithmic Justice League, “If your facial recognition data contains mostly Caucasian faces, that’s what your program will learn to recognize.” 42 Unless the databases have access to diverse data, these programs perform poorly when attempting to recognize African-American or Asian-American features.

Many historical data sets reflect traditional values, which may or may not represent the preferences wanted in a current system. As Buolamwini notes, such an approach risks repeating inequities of the past:

The rise of automation and the increased reliance on algorithms for high-stakes decisions such as whether someone get insurance or not, your likelihood to default on a loan or somebody’s risk of recidivism means this is something that needs to be addressed. Even admissions decisions are increasingly automated—what school our children go to and what opportunities they have. We don’t have to bring the structural inequalities of the past into the future we create. 43

AI ethics and transparency

Algorithms embed ethical considerations and value choices into program decisions. As such, these systems raise questions concerning the criteria used in automated decisionmaking. Some people want to have a better understanding of how algorithms function and what choices are being made. 44

In the United States, many urban schools use algorithms for enrollment decisions based on a variety of considerations, such as parent preferences, neighborhood qualities, income level, and demographic background. According to Brookings researcher Jon Valant, the New Orleans–based Bricolage Academy “gives priority to economically disadvantaged applicants for up to 33 percent of available seats. In practice, though, most cities have opted for categories that prioritize siblings of current students, children of school employees, and families that live in school’s broad geographic area.” 45 Enrollment choices can be expected to be very different when considerations of this sort come into play.

Depending on how AI systems are set up, they can facilitate the redlining of mortgage applications, help people discriminate against individuals they don’t like, or help screen or build rosters of individuals based on unfair criteria. The types of considerations that go into programming decisions matter a lot in terms of how the systems operate and how they affect customers. 46

For these reasons, the EU is implementing the General Data Protection Regulation (GDPR) in May 2018. The rules specify that people have “the right to opt out of personally tailored ads” and “can contest ‘legal or similarly significant’ decisions made by algorithms and appeal for human intervention” in the form of an explanation of how the algorithm generated a particular outcome. Each guideline is designed to ensure the protection of personal data and provide individuals with information on how the “black box” operates. 47

Legal liability

There are questions concerning the legal liability of AI systems. If there are harms or infractions (or fatalities in the case of driverless cars), the operators of the algorithm likely will fall under product liability rules. A body of case law has shown that the situation’s facts and circumstances determine liability and influence the kind of penalties that are imposed. Those can range from civil fines to imprisonment for major harms. 48 The Uber-related fatality in Arizona will be an important test case for legal liability. The state actively recruited Uber to test its autonomous vehicles and gave the company considerable latitude in terms of road testing. It remains to be seen if there will be lawsuits in this case and who is sued: the human backup driver, the state of Arizona, the Phoenix suburb where the accident took place, Uber, software developers, or the auto manufacturer. Given the multiple people and organizations involved in the road testing, there are many legal questions to be resolved.

In non-transportation areas, digital platforms often have limited liability for what happens on their sites. For example, in the case of Airbnb, the firm “requires that people agree to waive their right to sue, or to join in any class-action lawsuit or class-action arbitration, to use the service.” By demanding that its users sacrifice basic rights, the company limits consumer protections and therefore curtails the ability of people to fight discrimination arising from unfair algorithms. 49 But whether the principle of neutral networks holds up in many sectors is yet to be determined on a widespread basis.

Recommendations

In order to balance innovation with basic human values, we propose a number of recommendations for moving forward with AI. This includes improving data access, increasing government investment in AI, promoting AI workforce development, creating a federal advisory committee, engaging with state and local officials to ensure they enact effective policies, regulating broad objectives as opposed to specific algorithms, taking bias seriously as an AI issue, maintaining mechanisms for human control and oversight, and penalizing malicious behavior and promoting cybersecurity.

Improving data access

The United States should develop a data strategy that promotes innovation and consumer protection. Right now, there are no uniform standards in terms of data access, data sharing, or data protection. Almost all the data are proprietary in nature and not shared very broadly with the research community, and this limits innovation and system design. AI requires data to test and improve its learning capacity. 50 Without structured and unstructured data sets, it will be nearly impossible to gain the full benefits of artificial intelligence.

In general, the research community needs better access to government and business data, although with appropriate safeguards to make sure researchers do not misuse data in the way Cambridge Analytica did with Facebook information. There is a variety of ways researchers could gain data access. One is through voluntary agreements with companies holding proprietary data. Facebook, for example, recently announced a partnership with Stanford economist Raj Chetty to use its social media data to explore inequality. 51 As part of the arrangement, researchers were required to undergo background checks and could only access data from secured sites in order to protect user privacy and security.

In the U.S., there are no uniform standards in terms of data access, data sharing, or data protection. Almost all the data are proprietary in nature and not shared very broadly with the research community, and this limits innovation and system design.

Google long has made available search results in aggregated form for researchers and the general public. Through its “Trends” site, scholars can analyze topics such as interest in Trump, views about democracy, and perspectives on the overall economy. 52 That helps people track movements in public interest and identify topics that galvanize the general public.

Twitter makes much of its tweets available to researchers through application programming interfaces, commonly referred to as APIs. These tools help people outside the company build application software and make use of data from its social media platform. They can study patterns of social media communications and see how people are commenting on or reacting to current events.

In some sectors where there is a discernible public benefit, governments can facilitate collaboration by building infrastructure that shares data. For example, the National Cancer Institute has pioneered a data-sharing protocol where certified researchers can query health data it has using de-identified information drawn from clinical data, claims information, and drug therapies. That enables researchers to evaluate efficacy and effectiveness, and make recommendations regarding the best medical approaches, without compromising the privacy of individual patients.

There could be public-private data partnerships that combine government and business data sets to improve system performance. For example, cities could integrate information from ride-sharing services with its own material on social service locations, bus lines, mass transit, and highway congestion to improve transportation. That would help metropolitan areas deal with traffic tie-ups and assist in highway and mass transit planning.

Some combination of these approaches would improve data access for researchers, the government, and the business community, without impinging on personal privacy. As noted by Ian Buck, the vice president of NVIDIA, “Data is the fuel that drives the AI engine. The federal government has access to vast sources of information. Opening access to that data will help us get insights that will transform the U.S. economy.” 53 Through its Data.gov portal, the federal government already has put over 230,000 data sets into the public domain, and this has propelled innovation and aided improvements in AI and data analytic technologies. 54 The private sector also needs to facilitate research data access so that society can achieve the full benefits of artificial intelligence.

Increase government investment in AI

According to Greg Brockman, the co-founder of OpenAI, the U.S. federal government invests only $1.1 billion in non-classified AI technology. 55 That is far lower than the amount being spent by China or other leading nations in this area of research. That shortfall is noteworthy because the economic payoffs of AI are substantial. In order to boost economic development and social innovation, federal officials need to increase investment in artificial intelligence and data analytics. Higher investment is likely to pay for itself many times over in economic and social benefits. 56

Promote digital education and workforce development

As AI applications accelerate across many sectors, it is vital that we reimagine our educational institutions for a world where AI will be ubiquitous and students need a different kind of training than they currently receive. Right now, many students do not receive instruction in the kinds of skills that will be needed in an AI-dominated landscape. For example, there currently are shortages of data scientists, computer scientists, engineers, coders, and platform developers. These are skills that are in short supply; unless our educational system generates more people with these capabilities, it will limit AI development.

For these reasons, both state and federal governments have been investing in AI human capital. For example, in 2017, the National Science Foundation funded over 6,500 graduate students in computer-related fields and has launched several new initiatives designed to encourage data and computer science at all levels from pre-K to higher and continuing education. 57 The goal is to build a larger pipeline of AI and data analytic personnel so that the United States can reap the full advantages of the knowledge revolution.

But there also needs to be substantial changes in the process of learning itself. It is not just technical skills that are needed in an AI world but skills of critical reasoning, collaboration, design, visual display of information, and independent thinking, among others. AI will reconfigure how society and the economy operate, and there needs to be “big picture” thinking on what this will mean for ethics, governance, and societal impact. People will need the ability to think broadly about many questions and integrate knowledge from a number of different areas.

One example of new ways to prepare students for a digital future is IBM’s Teacher Advisor program, utilizing Watson’s free online tools to help teachers bring the latest knowledge into the classroom. They enable instructors to develop new lesson plans in STEM and non-STEM fields, find relevant instructional videos, and help students get the most out of the classroom. 58 As such, they are precursors of new educational environments that need to be created.

Create a federal AI advisory committee

Federal officials need to think about how they deal with artificial intelligence. As noted previously, there are many issues ranging from the need for improved data access to addressing issues of bias and discrimination. It is vital that these and other concerns be considered so we gain the full benefits of this emerging technology.

In order to move forward in this area, several members of Congress have introduced the “Future of Artificial Intelligence Act,” a bill designed to establish broad policy and legal principles for AI. It proposes the secretary of commerce create a federal advisory committee on the development and implementation of artificial intelligence. The legislation provides a mechanism for the federal government to get advice on ways to promote a “climate of investment and innovation to ensure the global competitiveness of the United States,” “optimize the development of artificial intelligence to address the potential growth, restructuring, or other changes in the United States workforce,” “support the unbiased development and application of artificial intelligence,” and “protect the privacy rights of individuals.” 59

Among the specific questions the committee is asked to address include the following: competitiveness, workforce impact, education, ethics training, data sharing, international cooperation, accountability, machine learning bias, rural impact, government efficiency, investment climate, job impact, bias, and consumer impact. The committee is directed to submit a report to Congress and the administration 540 days after enactment regarding any legislative or administrative action needed on AI.

This legislation is a step in the right direction, although the field is moving so rapidly that we would recommend shortening the reporting timeline from 540 days to 180 days. Waiting nearly two years for a committee report will certainly result in missed opportunities and a lack of action on important issues. Given rapid advances in the field, having a much quicker turnaround time on the committee analysis would be quite beneficial.

Engage with state and local officials

States and localities also are taking action on AI. For example, the New York City Council unanimously passed a bill that directed the mayor to form a taskforce that would “monitor the fairness and validity of algorithms used by municipal agencies.” 60 The city employs algorithms to “determine if a lower bail will be assigned to an indigent defendant, where firehouses are established, student placement for public schools, assessing teacher performance, identifying Medicaid fraud and determine where crime will happen next.” 61

According to the legislation’s developers, city officials want to know how these algorithms work and make sure there is sufficient AI transparency and accountability. In addition, there is concern regarding the fairness and biases of AI algorithms, so the taskforce has been directed to analyze these issues and make recommendations regarding future usage. It is scheduled to report back to the mayor on a range of AI policy, legal, and regulatory issues by late 2019.

Some observers already are worrying that the taskforce won’t go far enough in holding algorithms accountable. For example, Julia Powles of Cornell Tech and New York University argues that the bill originally required companies to make the AI source code available to the public for inspection, and that there be simulations of its decisionmaking using actual data. After criticism of those provisions, however, former Councilman James Vacca dropped the requirements in favor of a task force studying these issues. He and other city officials were concerned that publication of proprietary information on algorithms would slow innovation and make it difficult to find AI vendors who would work with the city. 62 It remains to be seen how this local task force will balance issues of innovation, privacy, and transparency.

Regulate broad objectives more than specific algorithms

The European Union has taken a restrictive stance on these issues of data collection and analysis. 63 It has rules limiting the ability of companies from collecting data on road conditions and mapping street views. Because many of these countries worry that people’s personal information in unencrypted Wi-Fi networks are swept up in overall data collection, the EU has fined technology firms, demanded copies of data, and placed limits on the material collected. 64 This has made it more difficult for technology companies operating there to develop the high-definition maps required for autonomous vehicles.

The GDPR being implemented in Europe place severe restrictions on the use of artificial intelligence and machine learning. According to published guidelines, “Regulations prohibit any automated decision that ‘significantly affects’ EU citizens. This includes techniques that evaluates a person’s ‘performance at work, economic situation, health, personal preferences, interests, reliability, behavior, location, or movements.’” 65 In addition, these new rules give citizens the right to review how digital services made specific algorithmic choices affecting people.

By taking a restrictive stance on issues of data collection and analysis, the European Union is putting its manufacturers and software designers at a significant disadvantage to the rest of the world.

If interpreted stringently, these rules will make it difficult for European software designers (and American designers who work with European counterparts) to incorporate artificial intelligence and high-definition mapping in autonomous vehicles. Central to navigation in these cars and trucks is tracking location and movements. Without high-definition maps containing geo-coded data and the deep learning that makes use of this information, fully autonomous driving will stagnate in Europe. Through this and other data protection actions, the European Union is putting its manufacturers and software designers at a significant disadvantage to the rest of the world.

It makes more sense to think about the broad objectives desired in AI and enact policies that advance them, as opposed to governments trying to crack open the “black boxes” and see exactly how specific algorithms operate. Regulating individual algorithms will limit innovation and make it difficult for companies to make use of artificial intelligence.

Take biases seriously

Bias and discrimination are serious issues for AI. There already have been a number of cases of unfair treatment linked to historic data, and steps need to be undertaken to make sure that does not become prevalent in artificial intelligence. Existing statutes governing discrimination in the physical economy need to be extended to digital platforms. That will help protect consumers and build confidence in these systems as a whole.

For these advances to be widely adopted, more transparency is needed in how AI systems operate. Andrew Burt of Immuta argues, “The key problem confronting predictive analytics is really transparency. We’re in a world where data science operations are taking on increasingly important tasks, and the only thing holding them back is going to be how well the data scientists who train the models can explain what it is their models are doing.” 66

Maintaining mechanisms for human oversight and control

Some individuals have argued that there needs to be avenues for humans to exercise oversight and control of AI systems. For example, Allen Institute for Artificial Intelligence CEO Oren Etzioni argues there should be rules for regulating these systems. First, he says, AI must be governed by all the laws that already have been developed for human behavior, including regulations concerning “cyberbullying, stock manipulation or terrorist threats,” as well as “entrap[ping] people into committing crimes.” Second, he believes that these systems should disclose they are automated systems and not human beings. Third, he states, “An A.I. system cannot retain or disclose confidential information without explicit approval from the source of that information.” 67 His rationale is that these tools store so much data that people have to be cognizant of the privacy risks posed by AI.

In the same vein, the IEEE Global Initiative has ethical guidelines for AI and autonomous systems. Its experts suggest that these models be programmed with consideration for widely accepted human norms and rules for behavior. AI algorithms need to take into effect the importance of these norms, how norm conflict can be resolved, and ways these systems can be transparent about norm resolution. Software designs should be programmed for “nondeception” and “honesty,” according to ethics experts. When failures occur, there must be mitigation mechanisms to deal with the consequences. In particular, AI must be sensitive to problems such as bias, discrimination, and fairness. 68

A group of machine learning experts claim it is possible to automate ethical decisionmaking. Using the trolley problem as a moral dilemma, they ask the following question: If an autonomous car goes out of control, should it be programmed to kill its own passengers or the pedestrians who are crossing the street? They devised a “voting-based system” that asked 1.3 million people to assess alternative scenarios, summarized the overall choices, and applied the overall perspective of these individuals to a range of vehicular possibilities. That allowed them to automate ethical decisionmaking in AI algorithms, taking public preferences into account. 69 This procedure, of course, does not reduce the tragedy involved in any kind of fatality, such as seen in the Uber case, but it provides a mechanism to help AI developers incorporate ethical considerations in their planning.

Penalize malicious behavior and promote cybersecurity

As with any emerging technology, it is important to discourage malicious treatment designed to trick software or use it for undesirable ends. 70 This is especially important given the dual-use aspects of AI, where the same tool can be used for beneficial or malicious purposes. The malevolent use of AI exposes individuals and organizations to unnecessary risks and undermines the virtues of the emerging technology. This includes behaviors such as hacking, manipulating algorithms, compromising privacy and confidentiality, or stealing identities. Efforts to hijack AI in order to solicit confidential information should be seriously penalized as a way to deter such actions. 71

In a rapidly changing world with many entities having advanced computing capabilities, there needs to be serious attention devoted to cybersecurity. Countries have to be careful to safeguard their own systems and keep other nations from damaging their security. 72 According to the U.S. Department of Homeland Security, a major American bank receives around 11 million calls a week at its service center. In order to protect its telephony from denial of service attacks, it uses a “machine learning-based policy engine [that] blocks more than 120,000 calls per month based on voice firewall policies including harassing callers, robocalls and potential fraudulent calls.” 73 This represents a way in which machine learning can help defend technology systems from malevolent attacks.

To summarize, the world is on the cusp of revolutionizing many sectors through artificial intelligence and data analytics. There already are significant deployments in finance, national security, health care, criminal justice, transportation, and smart cities that have altered decisionmaking, business models, risk mitigation, and system performance. These developments are generating substantial economic and social benefits.

The world is on the cusp of revolutionizing many sectors through artificial intelligence, but the way AI systems are developed need to be better understood due to the major implications these technologies will have for society as a whole.

Yet the manner in which AI systems unfold has major implications for society as a whole. It matters how policy issues are addressed, ethical conflicts are reconciled, legal realities are resolved, and how much transparency is required in AI and data analytic solutions. 74 Human choices about software development affect the way in which decisions are made and the manner in which they are integrated into organizational routines. Exactly how these processes are executed need to be better understood because they will have substantial impact on the general public soon, and for the foreseeable future. AI may well be a revolution in human affairs, and become the single most influential human innovation in history.

Note: We appreciate the research assistance of Grace Gilberg, Jack Karsten, Hillary Schaub, and Kristjan Tomasson on this project.

The Brookings Institution is a nonprofit organization devoted to independent research and policy solutions. Its mission is to conduct high-quality, independent research and, based on that research, to provide innovative, practical recommendations for policymakers and the public. The conclusions and recommendations of any Brookings publication are solely those of its author(s), and do not reflect the views of the Institution, its management, or its other scholars.

Support for this publication was generously provided by Amazon. Brookings recognizes that the value it provides is in its absolute commitment to quality, independence, and impact. Activities supported by its donors reflect this commitment. 

John R. Allen is a member of the Board of Advisors of Amida Technology and on the Board of Directors of Spark Cognition. Both companies work in fields discussed in this piece.

• Thomas Davenport, Jeff Loucks, and David Schatsky, “Bullish on the Business Value of Cognitive” (Deloitte, 2017), p. 3 (www2.deloitte.com/us/en/pages/deloitte-analytics/articles/cognitive-technology-adoption-survey.html).
• Luke Dormehl, Thinking Machines: The Quest for Artificial Intelligence—and Where It’s Taking Us Next (New York: Penguin–TarcherPerigee, 2017).
• Shubhendu and Vijay, “Applicability of Artificial Intelligence in Different Fields of Life.”
• Andrew McAfee and Erik Brynjolfsson, Machine Platform Crowd: Harnessing Our Digital Future (New York: Norton, 2017).
• Portions of this paper draw on Darrell M. West, The Future of Work: Robots, AI, and Automation , Brookings Institution Press, 2018.
• PriceWaterhouseCoopers, “Sizing the Prize: What’s the Real Value of AI for Your Business and How Can You Capitalise?” 2017.
• Dominic Barton, Jonathan Woetzel, Jeongmin Seong, and Qinzheng Tian, “Artificial Intelligence: Implications for China” (New York: McKinsey Global Institute, April 2017), p. 1.
• Nathaniel Popper, “Stocks and Bots,” New York Times Magazine , February 28, 2016.
• Michael Lewis, Flash Boys: A Wall Street Revolt (New York: Norton, 2015).
• Cade Metz, “In Quantum Computing Race, Yale Professors Battle Tech Giants,” New York Times , November 14, 2017, p. B3.
• Executive Office of the President, “Artificial Intelligence, Automation, and the Economy,” December 2016, pp. 27-28.
• Christian Davenport, “Future Wars May Depend as Much on Algorithms as on Ammunition, Report Says,” Washington Post , December 3, 2017.
• John R. Allen and Amir Husain, “On Hyperwar,” Naval Institute Proceedings , July 17, 2017, pp. 30-36.
• Paul Mozur, “China Sets Goal to Lead in Artificial Intelligence,” New York Times , July 21, 2017, p. B1.
• Paul Mozur and John Markoff, “Is China Outsmarting American Artificial Intelligence?” New York Times , May 28, 2017.
• Economist , “America v China: The Battle for Digital Supremacy,” March 15, 2018.
• Rasmus Rothe, “Applying Deep Learning to Real-World Problems,” Medium , May 23, 2017.
• Eric Horvitz, “Reflections on the Status and Future of Artificial Intelligence,” Testimony before the U.S. Senate Subcommittee on Space, Science, and Competitiveness, November 30, 2016, p. 5.
• Jeff Asher and Rob Arthur, “Inside the Algorithm That Tries to Predict Gun Violence in Chicago,” New York Times Upshot , June 13, 2017.
• Caleb Watney, “It’s Time for our Justice System to Embrace Artificial Intelligence,” TechTank (blog), Brookings Institution, July 20, 2017.
• Asher and Arthur, “Inside the Algorithm That Tries to Predict Gun Violence in Chicago.”
• Paul Mozur and Keith Bradsher, “China’s A.I. Advances Help Its Tech Industry, and State Security,” New York Times , December 3, 2017.
• Simon Denyer, “China’s Watchful Eye,” Washington Post , January 7, 2018.
• Cameron Kerry and Jack Karsten, “Gauging Investment in Self-Driving Cars,” Brookings Institution, October 16, 2017.
• Portions of this section are drawn from Darrell M. West, “Driverless Cars in China, Europe, Japan, Korea, and the United States,” Brookings Institution, September 2016.
• Yuming Ge, Xiaoman Liu, Libo Tang, and Darrell M. West, “Smart Transportation in China and the United States,” Center for Technology Innovation, Brookings Institution, December 2017.
• Peter Holley, “Uber Signs Deal to Buy 24,000 Autonomous Vehicles from Volvo,” Washington Post , November 20, 2017.
• Daisuke Wakabayashi, “Self-Driving Uber Car Kills Pedestrian in Arizona, Where Robots Roam,” New York Times , March 19, 2018.
• Kevin Desouza, Rashmi Krishnamurthy, and Gregory Dawson, “Learning from Public Sector Experimentation with Artificial Intelligence,” TechTank (blog), Brookings Institution, June 23, 2017.
• Boyd Cohen, “The 10 Smartest Cities in North America,” Fast Company , November 14, 2013.
• Teena Maddox, “66% of US Cities Are Investing in Smart City Technology,” TechRepublic , November 6, 2017.
• Osonde Osoba and William Welser IV, “The Risks of Artificial Intelligence to Security and the Future of Work” (Santa Monica, Calif.: RAND Corp., December 2017) (www.rand.org/pubs/perspectives/PE237.html).
• Ibid., p. 7.
• Dominic Barton, Jonathan Woetzel, Jeongmin Seong, and Qinzheng Tian, “Artificial Intelligence: Implications for China” (New York: McKinsey Global Institute, April 2017), p. 7.
• Executive Office of the President, “Preparing for the Future of Artificial Intelligence,” October 2016, pp. 30-31.
• Elaine Glusac, “As Airbnb Grows, So Do Claims of Discrimination,” New York Times , June 21, 2016.
• “Joy Buolamwini,” Bloomberg Businessweek , July 3, 2017, p. 80.
• Mark Purdy and Paul Daugherty, “Why Artificial Intelligence is the Future of Growth,” Accenture, 2016.
• Jon Valant, “Integrating Charter Schools and Choice-Based Education Systems,” Brown Center Chalkboard blog, Brookings Institution, June 23, 2017.
• Tucker, “‘A White Mask Worked Better.’”
• Cliff Kuang, “Can A.I. Be Taught to Explain Itself?” New York Times Magazine , November 21, 2017.
• Yale Law School Information Society Project, “Governing Machine Learning,” September 2017.
• Katie Benner, “Airbnb Vows to Fight Racism, But Its Users Can’t Sue to Prompt Fairness,” New York Times , June 19, 2016.
• Executive Office of the President, “Artificial Intelligence, Automation, and the Economy” and “Preparing for the Future of Artificial Intelligence.”
• Nancy Scolar, “Facebook’s Next Project: American Inequality,” Politico , February 19, 2018.
• Darrell M. West, “What Internet Search Data Reveals about Donald Trump’s First Year in Office,” Brookings Institution policy report, January 17, 2018.
• Ian Buck, “Testimony before the House Committee on Oversight and Government Reform Subcommittee on Information Technology,” February 14, 2018.
• Keith Nakasone, “Testimony before the House Committee on Oversight and Government Reform Subcommittee on Information Technology,” March 7, 2018.
• Greg Brockman, “The Dawn of Artificial Intelligence,” Testimony before U.S. Senate Subcommittee on Space, Science, and Competitiveness, November 30, 2016.
• Amir Khosrowshahi, “Testimony before the House Committee on Oversight and Government Reform Subcommittee on Information Technology,” February 14, 2018.
• James Kurose, “Testimony before the House Committee on Oversight and Government Reform Subcommittee on Information Technology,” March 7, 2018.
• Stephen Noonoo, “Teachers Can Now Use IBM’s Watson to Search for Free Lesson Plans,” EdSurge , September 13, 2017.
• Congress.gov, “H.R. 4625 FUTURE of Artificial Intelligence Act of 2017,” December 12, 2017.
• Elizabeth Zima, “Could New York City’s AI Transparency Bill Be a Model for the Country?” Government Technology , January 4, 2018.
• Julia Powles, “New York City’s Bold, Flawed Attempt to Make Algorithms Accountable,” New Yorker , December 20, 2017.
• Sheera Frenkel, “Tech Giants Brace for Europe’s New Data Privacy Rules,” New York Times , January 28, 2018.
• Claire Miller and Kevin O’Brien, “Germany’s Complicated Relationship with Google Street View,” New York Times , April 23, 2013.
• Cade Metz, “Artificial Intelligence is Setting Up the Internet for a Huge Clash with Europe,” Wired , July 11, 2016.
• Eric Siegel, “Predictive Analytics Interview Series: Andrew Burt,” Predictive Analytics Times , June 14, 2017.
• Oren Etzioni, “How to Regulate Artificial Intelligence,” New York Times , September 1, 2017.
• “Ethical Considerations in Artificial Intelligence and Autonomous Systems,” unpublished paper. IEEE Global Initiative, 2018.
• Ritesh Noothigattu, Snehalkumar Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, and Ariel Procaccia, “A Voting-Based System for Ethical Decision Making,” Computers and Society , September 20, 2017 (www.media.mit.edu/publications/a-voting-based-system-for-ethical-decision-making/).
• Miles Brundage, et al., “The Malicious Use of Artificial Intelligence,” University of Oxford unpublished paper, February 2018.
• John Markoff, “As Artificial Intelligence Evolves, So Does Its Criminal Potential,” New York Times, October 24, 2016, p. B3.
• Economist , “The Challenger: Technopolitics,” March 17, 2018.
• Douglas Maughan, “Testimony before the House Committee on Oversight and Government Reform Subcommittee on Information Technology,” March 7, 2018.
• Levi Tillemann and Colin McCormick, “Roadmapping a U.S.-German Agenda for Artificial Intelligence Policy,” New American Foundation, March 2017.

Artificial Intelligence

Governance Studies

Center for Technology Innovation

Artificial Intelligence and Emerging Technology Initiative

Jeremy Baum, John Villasenor

April 17, 2024

Molly Kinder

April 12, 2024

Tom Wheeler

April 9, 2024

HOW TECHNOLOGY IMPACTS STUDENT ACHIEVEMENT IN THE CLASSROOM

The integration of technology in classrooms has become increasingly prevalent, presenting both opportunities and challenges for educators. This study examines the impact of technology on student performance and behavior, particularly in seventh and eighth-grade classrooms. The COVID-19 pandemic accelerated the shift to online learning, raising concerns about learning loss and disparities in access to technology. Using a needs-based assessment survey, this research investigates teachers' perceptions of technology's effects on student engagement, academic achievement, and retention of curriculum content. The study explores the positive and negative implications of technology use, as well as non-technological strategies employed by teachers to support student learning. Findings reveal that while technology offers benefits such as student-centered education and immediate feedback, it also poses challenges such as distractions and decreased engagement. The study underscores the importance of understanding how technology impacts student learning and behavior and provides insights for developing effective intervention strategies. By considering the perspectives of educators, this research contributes to the ongoing dialogue on technology integration in education and informs evidence-based practices for promoting student success in technology-rich classrooms.

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Jessica Grose

Get tech out of the classroom before it’s too late.

By Jessica Grose

Opinion Writer

Jaime Lewis noticed that her eighth-grade son’s grades were slipping several months ago. She suspected it was because he was watching YouTube during class on his school-issued laptop, and her suspicions were validated. “I heard this from two of his teachers and confirmed with my son: Yes, he watches YouTube during class, and no, he doesn’t think he can stop. In fact, he opted out of retaking a math test he’d failed, just so he could watch YouTube,” she said.

She decided to do something about it. Lewis told me that she got together with other parents who were concerned about the unfettered use of school-sanctioned technology in San Luis Coastal Unified School District, their district in San Luis Obispo, Calif. Because they knew that it wasn’t realistic to ask for the removal of the laptops entirely, they went for what they saw as an achievable win: blocking YouTube from students’ devices. A few weeks ago, they had a meeting with the district superintendent and several other administrators, including the tech director.

To bolster their case, Lewis and her allies put together a video compilation of clips that elementary and middle school children had gotten past the district’s content filters.

Their video opens on images of nooses being fitted around the necks of the terrified women in the TV adaptation of “The Handmaid’s Tale.” It ends with the notoriously violent “Singin’ in the Rain” sequence from “A Clockwork Orange.” (Several versions of this scene are available on YouTube. The one she pointed me to included “rape scene” in the title.) Their video was part of a PowerPoint presentation filled with statements from other parents and school staff members, including one from a middle school assistant principal, who said, “I don’t know how often teachers are using YouTube in their curriculum.”

That acknowledgment gets to the heart of the problem with screens in schools. I heard from many parents who said that even when they asked district leaders how much time kids were spending on their screens, they couldn’t get straight answers; no one seemed to know, and no one seemed to be keeping track.

Eric Prater, the superintendent of the San Luis Coastal Unified School District, told me that he didn’t realize how much was getting through the schools’ content filters until Lewis and her fellow parents raised concerns. “Our tech department, as I found out from the meeting, spends quite a lot of time blocking certain websites,” he said. “It’s a quite time-consuming situation that I personally was not aware of.” He added that he’s grateful this was brought to his attention.

I don’t think educators are the bad guys here. Neither does Lewis. In general, educators want the best for students. The bad guys, as I see it, are tech companies.

One way or another, we’ve allowed Big Tech’s tentacles into absolutely every aspect of our children’s education, with very little oversight and no real proof that their devices or programs improve educational outcomes. Last year Collin Binkley at The Associated Press analyzed public records and found that “many of the largest school systems spent tens of millions of dollars in pandemic money on software and services from tech companies, including licenses for apps, games and tutoring websites.” However, he continued, schools “have little or no evidence the programs helped students.”

It’s not just waste, very likely, of taxpayer money that’s at issue. After reading many of the over 900 responses from parents and educators to my questionnaire about tech in schools and from the many conversations I had over the past few weeks with readers, I’m convinced that the downsides of tech in schools far outweigh the benefits.

Though tech’s incursion into America’s public schools — particularly our overreliance on devices — hyperaccelerated in 2020, it started well before the Covid-19 pandemic. Google, which provides the operating system for lower-cost Chromebooks and is owned by the same parent company as YouTube, is a big player in the school laptop space, though I also heard from many parents and teachers whose schools supply students with other types and brands of devices.

As my newsroom colleague Natasha Singer reported in 2017 (by which point “half the nation’s primary- and secondary-school students” were, according to Google, using its education apps), “Google makes $30 per device by selling management services for the millions of Chromebooks that ship to schools. But by habituating students to its offerings at a young age, Google obtains something much more valuable”: potential lifetime customers.

The issue goes beyond access to age-inappropriate clips or general distraction during school hours. Several parents related stories of even kindergartners reading almost exclusively on iPads because their school districts had phased out hard-copy books and writing materials after shifting to digital-only curriculums. There’s evidence that this is harmful: A 2019 analysis of the literature concluded that “readers may be more efficient and aware of their performance when reading from paper compared to screens.”

“It seems to be a constant battle between fighting for the students’ active attention (because their brains are now hard-wired for the instant gratification of TikTok and YouTube videos) and making sure they aren’t going to sites outside of the dozens they should be,” Nicole Post, who teaches at a public elementary school in Missouri, wrote to me. “It took months for students to listen to me tell a story or engage in a read-aloud. I’m distressed at the level of technology we’ve socialized them to believe is normal. I would give anything for a math or social studies textbook.”

I’ve heard about kids disregarding teachers who tried to limit tech use, fine motor skills atrophying because students rarely used pencils and children whose learning was ultimately stymied by the tech that initially helped them — for example, students learning English as a second language becoming too reliant on translation apps rather than becoming fluent.

Some teachers said they have programs that block certain sites and games, but those programs can be cumbersome. Some said they have software, like GoGuardian, that allows them to see the screens of all the students in their classes at once. But classroom time is zero sum: Teachers are either teaching or acting like prison wardens; they can’t do both at the same time.

Resources are finite. Software costs money . Replacing defunct or outdated laptops costs money . When it comes to I.T., many schools are understaffed . More of the money being spent on tech and the maintenance and training around the use of that tech could be spent on other things, like actual books. And badly monitored and used tech has the most potential for harm.

I’ve considered the counterarguments: Kids who’d be distracted by tech would find something else to distract them; K-12 students need to gain familiarity with tech to instill some vague work force readiness.

But on the first point, I think other forms of distraction — like talking to friends, doodling and daydreaming — are better than playing video games or watching YouTube because they at least involve children engaging with other children or their own minds. And there’s research that suggests laptops are uniquely distracting . One 2013 study found that even being next to a student who is multitasking on a computer can hurt a student’s test scores.

On the second point, you can have designated classes to teach children how to keyboard, code or use software that don’t require them to have laptops in their hands throughout the school day. And considering that various tech companies are developing artificial intelligence that, we’re meant to understand, will upend work as we know it , whatever tech skills we’re currently teaching will probably be obsolete by the time students enter the work force anyway. By then, it’ll be too late to claw back the brain space of our nation’s children that we’ve already ceded. And for what? So today’s grade schoolers can be really, really good at making PowerPoint presentations like the ones they might one day make as white-collar adults?

That’s the part that I can’t shake: We’ve let tech companies and their products set the terms of the argument about what education should be, and too many people, myself included, didn’t initially realize it. Companies never had to prove that devices or software, broadly speaking, helped students learn before those devices had wormed their way into America’s public schools. And now the onus is on parents to marshal arguments about the detriments of tech in schools.

Holly Coleman, a parent of two who lives in Kansas and is a substitute teacher in her district, describes what students are losing:

They can type quickly but struggle to write legibly. They can find info about any topic on the internet but can’t discuss that topic using recall, creativity or critical thinking. They can make a beautiful PowerPoint or Keynote in 20 minutes but can’t write a three-page paper or hand-make a poster board. Their textbooks are all online, which is great for the seams on their backpack, but tangible pages under your fingers literally connect you to the material you’re reading and learning. These kids do not know how to move through their day without a device in their hand and under their fingertips. They never even get the chance to disconnect from their tech and reconnect with one another through eye contact and conversation.

Jonathan Haidt’s new book, “The Anxious Generation: How the Great Rewiring of Childhood is Causing an Epidemic of Mental Illness,” prescribes phone-free schools as a way to remedy some of the challenges facing America’s children. I agree that there’s no place for smartphones on a K-12 campus. But if you take away the phones and the kids still have near-constant internet connectivity on devices they have with them in every class, the problem won’t go away.

When Covid hit and screens became the only way for millions of kids to “attend” school, not having a personal device became an equity issue. But we’re getting to a point where the opposite may be true. According to the responses to my questionnaire, during the remote-school era, private schools seemed to rely far less on screens than public schools, and many educators said that they deliberately chose lower-tech school environments for their own children — much the same way that some tech workers intentionally send their kids to screen-free schools.

We need to reframe the entire conversation around tech in schools because it’s far from clear that we’re getting the results we want as a society and because parents are in a defensive crouch, afraid to appear anti-progress or unwilling to prepare the next generation for the future. “I feel like a baby boomer attacking like this,” said Lewis.

But the drawbacks of constant screen time in schools go beyond data privacy, job security and whether a specific app increases math performance by a standard deviation. As Lewis put it, using tech in the classroom makes students “so passive, and it requires so little agency and initiative.” She added, “I’m very concerned about the species’ ability to survive and the ability to think critically and the importance of critical thinking outside of getting a job.”

If we don’t hit pause now and try to roll back some of the excesses, we’ll be doing our children — and society — a profound disservice.

The good news is that sometimes when the stakes become clear, educators respond: In May, Dr. Prater said, “we’re going to remove access to YouTube from our district devices for students.” He added that teachers will still be able to get access to YouTube if they want to show instructional videos. The district is also rethinking its phone policy to cut down on personal device use in the classroom. “For me,” he said, “it’s all about how do you find the common-sense approach, going forward, and match that up with good old-fashioned hands-on learning?” He knows technology can cause “a great deal of harm if we’re not careful.”

Jessica Grose is an Opinion writer for The Times, covering family, religion, education, culture and the way we live now.

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How Pew Research Center will report on generations moving forward

Journalists, researchers and the public often look at society through the lens of generation, using terms like Millennial or Gen Z to describe groups of similarly aged people. This approach can help readers see themselves in the data and assess where we are and where we’re headed as a country.

Pew Research Center has been at the forefront of generational research over the years, telling the story of Millennials as they came of age politically and as they moved more firmly into adult life . In recent years, we’ve also been eager to learn about Gen Z as the leading edge of this generation moves into adulthood.

But generational research has become a crowded arena. The field has been flooded with content that’s often sold as research but is more like clickbait or marketing mythology. There’s also been a growing chorus of criticism about generational research and generational labels in particular.

Recently, as we were preparing to embark on a major research project related to Gen Z, we decided to take a step back and consider how we can study generations in a way that aligns with our values of accuracy, rigor and providing a foundation of facts that enriches the public dialogue.

A typical generation spans 15 to 18 years. As many critics of generational research point out, there is great diversity of thought, experience and behavior within generations.

We set out on a yearlong process of assessing the landscape of generational research. We spoke with experts from outside Pew Research Center, including those who have been publicly critical of our generational analysis, to get their take on the pros and cons of this type of work. We invested in methodological testing to determine whether we could compare findings from our earlier telephone surveys to the online ones we’re conducting now. And we experimented with higher-level statistical analyses that would allow us to isolate the effect of generation.

What emerged from this process was a set of clear guidelines that will help frame our approach going forward. Many of these are principles we’ve always adhered to , but others will require us to change the way we’ve been doing things in recent years.

Here’s a short overview of how we’ll approach generational research in the future:

We’ll only do generational analysis when we have historical data that allows us to compare generations at similar stages of life. When comparing generations, it’s crucial to control for age. In other words, researchers need to look at each generation or age cohort at a similar point in the life cycle. (“Age cohort” is a fancy way of referring to a group of people who were born around the same time.)

When doing this kind of research, the question isn’t whether young adults today are different from middle-aged or older adults today. The question is whether young adults today are different from young adults at some specific point in the past.

To answer this question, it’s necessary to have data that’s been collected over a considerable amount of time – think decades. Standard surveys don’t allow for this type of analysis. We can look at differences across age groups, but we can’t compare age groups over time.

Another complication is that the surveys we conducted 20 or 30 years ago aren’t usually comparable enough to the surveys we’re doing today. Our earlier surveys were done over the phone, and we’ve since transitioned to our nationally representative online survey panel , the American Trends Panel . Our internal testing showed that on many topics, respondents answer questions differently depending on the way they’re being interviewed. So we can’t use most of our surveys from the late 1980s and early 2000s to compare Gen Z with Millennials and Gen Xers at a similar stage of life.

This means that most generational analysis we do will use datasets that have employed similar methodologies over a long period of time, such as surveys from the U.S. Census Bureau. A good example is our 2020 report on Millennial families , which used census data going back to the late 1960s. The report showed that Millennials are marrying and forming families at a much different pace than the generations that came before them.

Even when we have historical data, we will attempt to control for other factors beyond age in making generational comparisons. If we accept that there are real differences across generations, we’re basically saying that people who were born around the same time share certain attitudes or beliefs – and that their views have been influenced by external forces that uniquely shaped them during their formative years. Those forces may have been social changes, economic circumstances, technological advances or political movements.

When we see that younger adults have different views than their older counterparts, it may be driven by their demographic traits rather than the fact that they belong to a particular generation.

The tricky part is isolating those forces from events or circumstances that have affected all age groups, not just one generation. These are often called “period effects.” An example of a period effect is the Watergate scandal, which drove down trust in government among all age groups. Differences in trust across age groups in the wake of Watergate shouldn’t be attributed to the outsize impact that event had on one age group or another, because the change occurred across the board.

Changing demographics also may play a role in patterns that might at first seem like generational differences. We know that the United States has become more racially and ethnically diverse in recent decades, and that race and ethnicity are linked with certain key social and political views. When we see that younger adults have different views than their older counterparts, it may be driven by their demographic traits rather than the fact that they belong to a particular generation.

Controlling for these factors can involve complicated statistical analysis that helps determine whether the differences we see across age groups are indeed due to generation or not. This additional step adds rigor to the process. Unfortunately, it’s often absent from current discussions about Gen Z, Millennials and other generations.

When we can’t do generational analysis, we still see value in looking at differences by age and will do so where it makes sense. Age is one of the most common predictors of differences in attitudes and behaviors. And even if age gaps aren’t rooted in generational differences, they can still be illuminating. They help us understand how people across the age spectrum are responding to key trends, technological breakthroughs and historical events.

Each stage of life comes with a unique set of experiences. Young adults are often at the leading edge of changing attitudes on emerging social trends. Take views on same-sex marriage , for example, or attitudes about gender identity .

Many middle-aged adults, in turn, face the challenge of raising children while also providing care and support to their aging parents. And older adults have their own obstacles and opportunities. All of these stories – rooted in the life cycle, not in generations – are important and compelling, and we can tell them by analyzing our surveys at any given point in time.

When we do have the data to study groups of similarly aged people over time, we won’t always default to using the standard generational definitions and labels. While generational labels are simple and catchy, there are other ways to analyze age cohorts. For example, some observers have suggested grouping people by the decade in which they were born. This would create narrower cohorts in which the members may share more in common. People could also be grouped relative to their age during key historical events (such as the Great Recession or the COVID-19 pandemic) or technological innovations (like the invention of the iPhone).

By choosing not to use the standard generational labels when they’re not appropriate, we can avoid reinforcing harmful stereotypes or oversimplifying people’s complex lived experiences.

Existing generational definitions also may be too broad and arbitrary to capture differences that exist among narrower cohorts. A typical generation spans 15 to 18 years. As many critics of generational research point out, there is great diversity of thought, experience and behavior within generations. The key is to pick a lens that’s most appropriate for the research question that’s being studied. If we’re looking at political views and how they’ve shifted over time, for example, we might group people together according to the first presidential election in which they were eligible to vote.

With these considerations in mind, our audiences should not expect to see a lot of new research coming out of Pew Research Center that uses the generational lens. We’ll only talk about generations when it adds value, advances important national debates and highlights meaningful societal trends.

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Major psychology group says infinite scrolling, other social media features are ‘particularly risky’ to youth mental health

A top psychology group is urging technology companies and legislators to take greater steps to protect adolescents’ mental health, arguing that social media platforms are built for adults and are “not inherently suitable for youth.”

Social media features such as endless scrolling and push notifications are “particularly risky” to young people, whose developing brains are less able to disengage from addictive experiences and are more sensitive to distractions, the American Psychological Association wrote in a report released Tuesday .

But age restrictions on social media platforms alone don’t fully address the dangers, especially since many kids easily find workarounds to such limits. Instead, social media companies need to make fundamental design changes, the group said in its report.

“The platforms seem to be designed to keep kids engaged for as long as possible, to keep them on there. And kids are just not able to resist those impulses as effectively as adults,” APA chief science officer Mitch Prinstein said in a phone interview. He added that more than half of teens report at least one symptom of clinical dependency on social media . 

“The fact that this is interfering with their in-person interactions, their time when they should be doing schoolwork, and — most importantly — their sleep has really important implications,” Prinstein said.

The report did not offer specific changes that social media companies can implement. Prinstein suggested one option could be to change the default experience of social media accounts for children, with functions such as endless scrolling or alerts shut off.

The report comes nearly a year after the APA issued a landmark health advisory on social media use in adolescence, which acknowledged that social media can be beneficial when it connects young people with peers who experience similar types of adversity offline. The advisory urged social media platforms to minimize adolescents’ online exposure to cyberbullying and cyberhate, among other recommendations.

But technology companies have made “few meaningful changes” since the advisory was released last May, the APA report said, and no federal policies have been adopted.

The report did not name any specific social media platforms. But a spokesperson for Meta, the parent company of Facebook, Instagram and WhatsApp, disputed the assertion that there have not been changes instituted on its platforms recently. In the last year, Meta has begun showing teens a notification when they spend 20 minutes on Facebook and has added parental supervision tools that allow parents to schedule breaks from Facebook for their teens, according to a list of Meta resources for parents and teenagers . Meta also began hiding more results in Instagram’s search tool related to suicide, self-harm and eating disorders, and launched nighttime “nudges” that encourage teens to close the app when it’s late.

Prinstein said more is still needed.

"Although some platforms have experimented with modest changes, it is not enough to ensure children are safe," he said.

TikTok and X, formerly known as Twitter, did not immediately respond to a request for comment. A spokesperson for Snap Inc., which owns messaging app Snapchat, said it appreciated the APA’s recommendations and shares "their concerns about many of the key features of traditional social media."

"Snapchat was intentionally designed differently than other platforms and most people use it to communicate with their close friends and family," the spokesperson said in a statement, "That’s why Snapchat doesn’t offer public comparison metrics when you talk with your friends and our content platform is moderated, which means we don’t allow unvetted content to reach lots of people."

Tuesday’s report comes amid broader concern over the effects of social media on young people. In March, Florida passed a law prohibiting children younger than 14 from having social media accounts and requiring parental consent for those ages 14 and 15. California lawmakers have introduced a bill to protect minors from social media addiction . Dozens of states have sued Meta for what they say are deceptive features that harm children’s and teens’ mental health. 

And last month, a book was published by social psychologist Jonathan Haidt that argues that smartphones and social media have created a “phone-based childhood,” sending adolescents’ rates of anxiety, depression and self-harm skyrocketing. 

The book, “The Anxious Generation: How the Great Rewiring of Childhood Is Causing an Epidemic of Mental Illness,” has been hotly debated. While it has its detractors , it instantly became a bestseller.

Prinstein said that it’s up to technology companies to protect their youngest users, but parents can also help. He recommended all devices in a family’s household go on top of the refrigerator at 9 p.m. each night to help kids — and parents — get the amount of sleep they need. He also said there is no harm in limiting or postponing a child’s use of social media.

“We have no data to suggest that kids suffer negative consequences if they delay social media use, or if their parents set it for half an hour a day, or an hour a day,” he said. 

“If anything, kids tell us, anecdotally, that they like to be able to blame it on their parents and say, ‘Sorry, my parents won’t let me stay on for more than an hour, so I have to get off,’” he added. “It kind of gives them a relief.”

Elizabeth Chuck is a reporter for NBC News who focuses on health and mental health, particularly issues that affect women and children.

Disorganized Schizophrenia and its Effects on Children

This essay about childhood disorganized schizophrenia, shedding light on its complexities and far-reaching effects. It explores the unique challenges faced by children with this condition, from fragmented thoughts to social barriers. The essay emphasizes the importance of early intervention and comprehensive support in addressing the multifaceted needs of affected children. By recognizing the symptoms and embracing holistic approaches to care, we can empower children and their families to navigate this challenging terrain with resilience and hope.

How it works

Venturing into the intricate landscape of childhood disorganized schizophrenia unveils a tapestry of complexities, each thread woven with unique challenges and implications. This essay embarks on an exploration of this enigmatic condition, drawing upon diverse perspectives and weaving together insights from various disciplines.

In the mosaic of childhood development, disorganized schizophrenia emerges as a disruptive force, casting shadows over the cognitive, emotional, and social realms of a child’s life. Unlike its counterparts, this subtype manifests in a kaleidoscope of symptoms, including fragmented thoughts, erratic behaviors, and a disarray of emotions.

In children, these manifestations often present in subtle yet profound ways, posing diagnostic challenges and raising questions about appropriate interventions.

The ripple effects of childhood disorganized schizophrenia extend beyond the individual, permeating through familial dynamics, educational environments, and social interactions. Children grappling with this condition find themselves navigating turbulent waters, where social cues are obscured, and academic pursuits are fraught with obstacles. The disorganization of their internal world spills over into their external reality, creating barriers to connection and understanding.

Addressing the multifaceted needs of children with disorganized schizophrenia necessitates a collaborative and comprehensive approach, one that embraces both pharmacological interventions and psychosocial support. While medications offer relief from acute symptoms, they must be administered judiciously, considering the unique needs and sensitivities of each child. Equally vital are therapeutic modalities that empower children to navigate their inner landscapes, fostering resilience and self-awareness amidst the chaos.

Early intervention emerges as a beacon of hope in the journey of childhood disorganized schizophrenia, offering the promise of improved outcomes and enhanced quality of life. By recognizing the early signs and symptoms of the condition, caregivers and practitioners can intervene proactively, providing children and their families with the resources and support they need to navigate this challenging terrain. Through a concerted effort that spans disciplines and embraces innovation, we can illuminate the path towards healing and recovery for children affected by disorganized schizophrenia.

In conclusion, childhood disorganized schizophrenia presents a multifaceted puzzle that demands a nuanced and compassionate response. By unraveling its intricacies and embracing a holistic approach to care, we can provide children with the support they need to navigate the complexities of their inner worlds and emerge resilient and empowered in their journey towards wellness.

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