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• Published: 30 October 2023

A large-scale comparison of human-written versus ChatGPT-generated essays

• Steffen Herbold 1 ,
• Annette Hautli-Janisz 1 ,
• Ute Heuer 1 ,
• Zlata Kikteva 1 &
• Alexander Trautsch 1  

Scientific Reports volume  13 , Article number:  18617 ( 2023 ) Cite this article

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• Computer science
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ChatGPT and similar generative AI models have attracted hundreds of millions of users and have become part of the public discourse. Many believe that such models will disrupt society and lead to significant changes in the education system and information generation. So far, this belief is based on either colloquial evidence or benchmarks from the owners of the models—both lack scientific rigor. We systematically assess the quality of AI-generated content through a large-scale study comparing human-written versus ChatGPT-generated argumentative student essays. We use essays that were rated by a large number of human experts (teachers). We augment the analysis by considering a set of linguistic characteristics of the generated essays. Our results demonstrate that ChatGPT generates essays that are rated higher regarding quality than human-written essays. The writing style of the AI models exhibits linguistic characteristics that are different from those of the human-written essays. Since the technology is readily available, we believe that educators must act immediately. We must re-invent homework and develop teaching concepts that utilize these AI models in the same way as math utilizes the calculator: teach the general concepts first and then use AI tools to free up time for other learning objectives.

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Introduction.

The massive uptake in the development and deployment of large-scale Natural Language Generation (NLG) systems in recent months has yielded an almost unprecedented worldwide discussion of the future of society. The ChatGPT service which serves as Web front-end to GPT-3.5 1 and GPT-4 was the fastest-growing service in history to break the 100 million user milestone in January and had 1 billion visits by February 2023 2 .

Driven by the upheaval that is particularly anticipated for education 3 and knowledge transfer for future generations, we conduct the first independent, systematic study of AI-generated language content that is typically dealt with in high-school education: argumentative essays, i.e. essays in which students discuss a position on a controversial topic by collecting and reflecting on evidence (e.g. ‘Should students be taught to cooperate or compete?’). Learning to write such essays is a crucial aspect of education, as students learn to systematically assess and reflect on a problem from different perspectives. Understanding the capability of generative AI to perform this task increases our understanding of the skills of the models, as well as of the challenges educators face when it comes to teaching this crucial skill. While there is a multitude of individual examples and anecdotal evidence for the quality of AI-generated content in this genre (e.g. 4 ) this paper is the first to systematically assess the quality of human-written and AI-generated argumentative texts across different versions of ChatGPT 5 . We use a fine-grained essay quality scoring rubric based on content and language mastery and employ a significant pool of domain experts, i.e. high school teachers across disciplines, to perform the evaluation. Using computational linguistic methods and rigorous statistical analysis, we arrive at several key findings:

AI models generate significantly higher-quality argumentative essays than the users of an essay-writing online forum frequented by German high-school students across all criteria in our scoring rubric.

ChatGPT-4 (ChatGPT web interface with the GPT-4 model) significantly outperforms ChatGPT-3 (ChatGPT web interface with the GPT-3.5 default model) with respect to logical structure, language complexity, vocabulary richness and text linking.

Writing styles between humans and generative AI models differ significantly: for instance, the GPT models use more nominalizations and have higher sentence complexity (signaling more complex, ‘scientific’, language), whereas the students make more use of modal and epistemic constructions (which tend to convey speaker attitude).

The linguistic diversity of the NLG models seems to be improving over time: while ChatGPT-3 still has a significantly lower linguistic diversity than humans, ChatGPT-4 has a significantly higher diversity than the students.

Our work goes significantly beyond existing benchmarks. While OpenAI’s technical report on GPT-4 6 presents some benchmarks, their evaluation lacks scientific rigor: it fails to provide vital information like the agreement between raters, does not report on details regarding the criteria for assessment or to what extent and how a statistical analysis was conducted for a larger sample of essays. In contrast, our benchmark provides the first (statistically) rigorous and systematic study of essay quality, paired with a computational linguistic analysis of the language employed by humans and two different versions of ChatGPT, offering a glance at how these NLG models develop over time. While our work is focused on argumentative essays in education, the genre is also relevant beyond education. In general, studying argumentative essays is one important aspect to understand how good generative AI models are at conveying arguments and, consequently, persuasive writing in general.

Related work

Natural language generation.

The recent interest in generative AI models can be largely attributed to the public release of ChatGPT, a public interface in the form of an interactive chat based on the InstructGPT 1 model, more commonly referred to as GPT-3.5. In comparison to the original GPT-3 7 and other similar generative large language models based on the transformer architecture like GPT-J 8 , this model was not trained in a purely self-supervised manner (e.g. through masked language modeling). Instead, a pipeline that involved human-written content was used to fine-tune the model and improve the quality of the outputs to both mitigate biases and safety issues, as well as make the generated text more similar to text written by humans. Such models are referred to as Fine-tuned LAnguage Nets (FLANs). For details on their training, we refer to the literature 9 . Notably, this process was recently reproduced with publicly available models such as Alpaca 10 and Dolly (i.e. the complete models can be downloaded and not just accessed through an API). However, we can only assume that a similar process was used for the training of GPT-4 since the paper by OpenAI does not include any details on model training.

Testing of the language competency of large-scale NLG systems has only recently started. Cai et al. 11 show that ChatGPT reuses sentence structure, accesses the intended meaning of an ambiguous word, and identifies the thematic structure of a verb and its arguments, replicating human language use. Mahowald 12 compares ChatGPT’s acceptability judgments to human judgments on the Article + Adjective + Numeral + Noun construction in English. Dentella et al. 13 show that ChatGPT-3 fails to understand low-frequent grammatical constructions like complex nested hierarchies and self-embeddings. In another recent line of research, the structure of automatically generated language is evaluated. Guo et al. 14 show that in question-answer scenarios, ChatGPT-3 uses different linguistic devices than humans. Zhao et al. 15 show that ChatGPT generates longer and more diverse responses when the user is in an apparently negative emotional state.

Given that we aim to identify certain linguistic characteristics of human-written versus AI-generated content, we also draw on related work in the field of linguistic fingerprinting, which assumes that each human has a unique way of using language to express themselves, i.e. the linguistic means that are employed to communicate thoughts, opinions and ideas differ between humans. That these properties can be identified with computational linguistic means has been showcased across different tasks: the computation of a linguistic fingerprint allows to distinguish authors of literary works 16 , the identification of speaker profiles in large public debates 17 , 18 , 19 , 20 and the provision of data for forensic voice comparison in broadcast debates 21 , 22 . For educational purposes, linguistic features are used to measure essay readability 23 , essay cohesion 24 and language performance scores for essay grading 25 . Integrating linguistic fingerprints also yields performance advantages for classification tasks, for instance in predicting user opinion 26 , 27 and identifying individual users 28 .

Limitations of OpenAIs ChatGPT evaluations

OpenAI published a discussion of the model’s performance of several tasks, including Advanced Placement (AP) classes within the US educational system 6 . The subjects used in performance evaluation are diverse and include arts, history, English literature, calculus, statistics, physics, chemistry, economics, and US politics. While the models achieved good or very good marks in most subjects, they did not perform well in English literature. GPT-3.5 also experienced problems with chemistry, macroeconomics, physics, and statistics. While the overall results are impressive, there are several significant issues: firstly, the conflict of interest of the model’s owners poses a problem for the performance interpretation. Secondly, there are issues with the soundness of the assessment beyond the conflict of interest, which make the generalizability of the results hard to assess with respect to the models’ capability to write essays. Notably, the AP exams combine multiple-choice questions with free-text answers. Only the aggregated scores are publicly available. To the best of our knowledge, neither the generated free-text answers, their overall assessment, nor their assessment given specific criteria from the used judgment rubric are published. Thirdly, while the paper states that 1–2 qualified third-party contractors participated in the rating of the free-text answers, it is unclear how often multiple ratings were generated for the same answer and what was the agreement between them. This lack of information hinders a scientifically sound judgement regarding the capabilities of these models in general, but also specifically for essays. Lastly, the owners of the model conducted their study in a few-shot prompt setting, where they gave the models a very structured template as well as an example of a human-written high-quality essay to guide the generation of the answers. This further fine-tuning of what the models generate could have also influenced the output. The results published by the owners go beyond the AP courses which are directly comparable to our work and also consider other student assessments like Graduate Record Examinations (GREs). However, these evaluations suffer from the same problems with the scientific rigor as the AP classes.

Scientific assessment of ChatGPT

Researchers across the globe are currently assessing the individual capabilities of these models with greater scientific rigor. We note that due to the recency and speed of these developments, the hereafter discussed literature has mostly only been published as pre-prints and has not yet been peer-reviewed. In addition to the above issues concretely related to the assessment of the capabilities to generate student essays, it is also worth noting that there are likely large problems with the trustworthiness of evaluations, because of data contamination, i.e. because the benchmark tasks are part of the training of the model, which enables memorization. For example, Aiyappa et al. 29 find evidence that this is likely the case for benchmark results regarding NLP tasks. This complicates the effort by researchers to assess the capabilities of the models beyond memorization.

Nevertheless, the first assessment results are already available – though mostly focused on ChatGPT-3 and not yet ChatGPT-4. Closest to our work is a study by Yeadon et al. 30 , who also investigate ChatGPT-3 performance when writing essays. They grade essays generated by ChatGPT-3 for five physics questions based on criteria that cover academic content, appreciation of the underlying physics, grasp of subject material, addressing the topic, and writing style. For each question, ten essays were generated and rated independently by five researchers. While the sample size precludes a statistical assessment, the results demonstrate that the AI model is capable of writing high-quality physics essays, but that the quality varies in a manner similar to human-written essays.

Guo et al. 14 create a set of free-text question answering tasks based on data they collected from the internet, e.g. question answering from Reddit. The authors then sample thirty triplets of a question, a human answer, and a ChatGPT-3 generated answer and ask human raters to assess if they can detect which was written by a human, and which was written by an AI. While this approach does not directly assess the quality of the output, it serves as a Turing test 31 designed to evaluate whether humans can distinguish between human- and AI-produced output. The results indicate that humans are in fact able to distinguish between the outputs when presented with a pair of answers. Humans familiar with ChatGPT are also able to identify over 80% of AI-generated answers without seeing a human answer in comparison. However, humans who are not yet familiar with ChatGPT-3 are not capable of identifying AI-written answers about 50% of the time. Moreover, the authors also find that the AI-generated outputs are deemed to be more helpful than the human answers in slightly more than half of the cases. This suggests that the strong results from OpenAI’s own benchmarks regarding the capabilities to generate free-text answers generalize beyond the benchmarks.

There are, however, some indicators that the benchmarks may be overly optimistic in their assessment of the model’s capabilities. For example, Kortemeyer 32 conducts a case study to assess how well ChatGPT-3 would perform in a physics class, simulating the tasks that students need to complete as part of the course: answer multiple-choice questions, do homework assignments, ask questions during a lesson, complete programming exercises, and write exams with free-text questions. Notably, ChatGPT-3 was allowed to interact with the instructor for many of the tasks, allowing for multiple attempts as well as feedback on preliminary solutions. The experiment shows that ChatGPT-3’s performance is in many aspects similar to that of the beginning learners and that the model makes similar mistakes, such as omitting units or simply plugging in results from equations. Overall, the AI would have passed the course with a low score of 1.5 out of 4.0. Similarly, Kung et al. 33 study the performance of ChatGPT-3 in the United States Medical Licensing Exam (USMLE) and find that the model performs at or near the passing threshold. Their assessment is a bit more optimistic than Kortemeyer’s as they state that this level of performance, comprehensible reasoning and valid clinical insights suggest that models such as ChatGPT may potentially assist human learning in clinical decision making.

Frieder et al. 34 evaluate the capabilities of ChatGPT-3 in solving graduate-level mathematical tasks. They find that while ChatGPT-3 seems to have some mathematical understanding, its level is well below that of an average student and in most cases is not sufficient to pass exams. Yuan et al. 35 consider the arithmetic abilities of language models, including ChatGPT-3 and ChatGPT-4. They find that they exhibit the best performance among other currently available language models (incl. Llama 36 , FLAN-T5 37 , and Bloom 38 ). However, the accuracy of basic arithmetic tasks is still only at 83% when considering correctness to the degree of \(10^{-3}\) , i.e. such models are still not capable of functioning reliably as calculators. In a slightly satiric, yet insightful take, Spencer et al. 39 assess how a scientific paper on gamma-ray astrophysics would look like, if it were written largely with the assistance of ChatGPT-3. They find that while the language capabilities are good and the model is capable of generating equations, the arguments are often flawed and the references to scientific literature are full of hallucinations.

The general reasoning skills of the models may also not be at the level expected from the benchmarks. For example, Cherian et al. 40 evaluate how well ChatGPT-3 performs on eleven puzzles that second graders should be able to solve and find that ChatGPT is only able to solve them on average in 36.4% of attempts, whereas the second graders achieve a mean of 60.4%. However, their sample size is very small and the problem was posed as a multiple-choice question answering problem, which cannot be directly compared to the NLG we consider.

Research gap

Within this article, we address an important part of the current research gap regarding the capabilities of ChatGPT (and similar technologies), guided by the following research questions:

RQ1: How good is ChatGPT based on GPT-3 and GPT-4 at writing argumentative student essays?

RQ2: How do AI-generated essays compare to essays written by students?

RQ3: What are linguistic devices that are characteristic of student versus AI-generated content?

We study these aspects with the help of a large group of teaching professionals who systematically assess a large corpus of student essays. To the best of our knowledge, this is the first large-scale, independent scientific assessment of ChatGPT (or similar models) of this kind. Answering these questions is crucial to understanding the impact of ChatGPT on the future of education.

Materials and methods

The essay topics originate from a corpus of argumentative essays in the field of argument mining 41 . Argumentative essays require students to think critically about a topic and use evidence to establish a position on the topic in a concise manner. The corpus features essays for 90 topics from Essay Forum 42 , an active community for providing writing feedback on different kinds of text and is frequented by high-school students to get feedback from native speakers on their essay-writing capabilities. Information about the age of the writers is not available, but the topics indicate that the essays were written in grades 11–13, indicating that the authors were likely at least 16. Topics range from ‘Should students be taught to cooperate or to compete?’ to ‘Will newspapers become a thing of the past?’. In the corpus, each topic features one human-written essay uploaded and discussed in the forum. The students who wrote the essays are not native speakers. The average length of these essays is 19 sentences with 388 tokens (an average of 2.089 characters) and will be termed ‘student essays’ in the remainder of the paper.

For the present study, we use the topics from Stab and Gurevych 41 and prompt ChatGPT with ‘Write an essay with about 200 words on “[ topic ]”’ to receive automatically-generated essays from the ChatGPT-3 and ChatGPT-4 versions from 22 March 2023 (‘ChatGPT-3 essays’, ‘ChatGPT-4 essays’). No additional prompts for getting the responses were used, i.e. the data was created with a basic prompt in a zero-shot scenario. This is in contrast to the benchmarks by OpenAI, who used an engineered prompt in a few-shot scenario to guide the generation of essays. We note that we decided to ask for 200 words because we noticed a tendency to generate essays that are longer than the desired length by ChatGPT. A prompt asking for 300 words typically yielded essays with more than 400 words. Thus, using the shorter length of 200, we prevent a potential advantage for ChatGPT through longer essays, and instead err on the side of brevity. Similar to the evaluations of free-text answers by OpenAI, we did not consider multiple configurations of the model due to the effort required to obtain human judgments. For the same reason, our data is restricted to ChatGPT and does not include other models available at that time, e.g. Alpaca. We use the browser versions of the tools because we consider this to be a more realistic scenario than using the API. Table 1 below shows the core statistics of the resulting dataset. Supplemental material S1 shows examples for essays from the data set.

Annotation study

Study participants.

The participants had registered for a two-hour online training entitled ‘ChatGPT – Challenges and Opportunities’ conducted by the authors of this paper as a means to provide teachers with some of the technological background of NLG systems in general and ChatGPT in particular. Only teachers permanently employed at secondary schools were allowed to register for this training. Focusing on these experts alone allows us to receive meaningful results as those participants have a wide range of experience in assessing students’ writing. A total of 139 teachers registered for the training, 129 of them teach at grammar schools, and only 10 teachers hold a position at other secondary schools. About half of the registered teachers (68 teachers) have been in service for many years and have successfully applied for promotion. For data protection reasons, we do not know the subject combinations of the registered teachers. We only know that a variety of subjects are represented, including languages (English, French and German), religion/ethics, and science. Supplemental material S5 provides some general information regarding German teacher qualifications.

The training began with an online lecture followed by a discussion phase. Teachers were given an overview of language models and basic information on how ChatGPT was developed. After about 45 minutes, the teachers received a both written and oral explanation of the questionnaire at the core of our study (see Supplementary material S3 ) and were informed that they had 30 minutes to finish the study tasks. The explanation included information on how the data was obtained, why we collect the self-assessment, and how we chose the criteria for the rating of the essays, the overall goal of our research, and a walk-through of the questionnaire. Participation in the questionnaire was voluntary and did not affect the awarding of a training certificate. We further informed participants that all data was collected anonymously and that we would have no way of identifying who participated in the questionnaire. We orally informed participants that they consent to the use of the provided ratings for our research by participating in the survey.

Once these instructions were provided orally and in writing, the link to the online form was given to the participants. The online form was running on a local server that did not log any information that could identify the participants (e.g. IP address) to ensure anonymity. As per instructions, consent for participation was given by using the online form. Due to the full anonymity, we could by definition not document who exactly provided the consent. This was implemented as further insurance that non-participation could not possibly affect being awarded the training certificate.

About 20% of the training participants did not take part in the questionnaire study, the remaining participants consented based on the information provided and participated in the rating of essays. After the questionnaire, we continued with an online lecture on the opportunities of using ChatGPT for teaching as well as AI beyond chatbots. The study protocol was reviewed and approved by the Research Ethics Committee of the University of Passau. We further confirm that our study protocol is in accordance with all relevant guidelines.

Questionnaire

The questionnaire consists of three parts: first, a brief self-assessment regarding the English skills of the participants which is based on the Common European Framework of Reference for Languages (CEFR) 43 . We have six levels ranging from ‘comparable to a native speaker’ to ‘some basic skills’ (see supplementary material S3 ). Then each participant was shown six essays. The participants were only shown the generated text and were not provided with information on whether the text was human-written or AI-generated.

The questionnaire covers the seven categories relevant for essay assessment shown below (for details see supplementary material S3 ):

Topic and completeness

Logic and composition

Expressiveness and comprehensiveness

Language mastery

Vocabulary and text linking

Language constructs

These categories are used as guidelines for essay assessment 44 established by the Ministry for Education of Lower Saxony, Germany. For each criterion, a seven-point Likert scale with scores from zero to six is defined, where zero is the worst score (e.g. no relation to the topic) and six is the best score (e.g. addressed the topic to a special degree). The questionnaire included a written description as guidance for the scoring.

After rating each essay, the participants were also asked to self-assess their confidence in the ratings. We used a five-point Likert scale based on the criteria for the self-assessment of peer-review scores from the Association for Computational Linguistics (ACL). Once a participant finished rating the six essays, they were shown a summary of their ratings, as well as the individual ratings for each of their essays and the information on how the essay was generated.

Computational linguistic analysis

In order to further explore and compare the quality of the essays written by students and ChatGPT, we consider the six following linguistic characteristics: lexical diversity, sentence complexity, nominalization, presence of modals, epistemic and discourse markers. Those are motivated by previous work: Weiss et al. 25 observe the correlation between measures of lexical, syntactic and discourse complexities to the essay gradings of German high-school examinations while McNamara et al. 45 explore cohesion (indicated, among other things, by connectives), syntactic complexity and lexical diversity in relation to the essay scoring.

Lexical diversity

We identify vocabulary richness by using a well-established measure of textual, lexical diversity (MTLD) 46 which is often used in the field of automated essay grading 25 , 45 , 47 . It takes into account the number of unique words but unlike the best-known measure of lexical diversity, the type-token ratio (TTR), it is not as sensitive to the difference in the length of the texts. In fact, Koizumi and In’nami 48 find it to be least affected by the differences in the length of the texts compared to some other measures of lexical diversity. This is relevant to us due to the difference in average length between the human-written and ChatGPT-generated essays.

Syntactic complexity

We use two measures in order to evaluate the syntactic complexity of the essays. One is based on the maximum depth of the sentence dependency tree which is produced using the spaCy 3.4.2 dependency parser 49 (‘Syntactic complexity (depth)’). For the second measure, we adopt an approach similar in nature to the one by Weiss et al. 25 who use clause structure to evaluate syntactic complexity. In our case, we count the number of conjuncts, clausal modifiers of nouns, adverbial clause modifiers, clausal complements, clausal subjects, and parataxes (‘Syntactic complexity (clauses)’). The supplementary material in S2 shows the difference between sentence complexity based on two examples from the data.

Nominalization is a common feature of a more scientific style of writing 50 and is used as an additional measure for syntactic complexity. In order to explore this feature, we count occurrences of nouns with suffixes such as ‘-ion’, ‘-ment’, ‘-ance’ and a few others which are known to transform verbs into nouns.

Semantic properties

Both modals and epistemic markers signal the commitment of the writer to their statement. We identify modals using the POS-tagging module provided by spaCy as well as a list of epistemic expressions of modality, such as ‘definitely’ and ‘potentially’, also used in other approaches to identifying semantic properties 51 . For epistemic markers we adopt an empirically-driven approach and utilize the epistemic markers identified in a corpus of dialogical argumentation by Hautli-Janisz et al. 52 . We consider expressions such as ‘I think’, ‘it is believed’ and ‘in my opinion’ to be epistemic.

Discourse properties

Discourse markers can be used to measure the coherence quality of a text. This has been explored by Somasundaran et al. 53 who use discourse markers to evaluate the story-telling aspect of student writing while Nadeem et al. 54 incorporated them in their deep learning-based approach to automated essay scoring. In the present paper, we employ the PDTB list of discourse markers 55 which we adjust to exclude words that are often used for purposes other than indicating discourse relations, such as ‘like’, ‘for’, ‘in’ etc.

Statistical methods

We use a within-subjects design for our study. Each participant was shown six randomly selected essays. Results were submitted to the survey system after each essay was completed, in case participants ran out of time and did not finish scoring all six essays. Cronbach’s \(\alpha\) 56 allows us to determine the inter-rater reliability for the rating criterion and data source (human, ChatGPT-3, ChatGPT-4) in order to understand the reliability of our data not only overall, but also for each data source and rating criterion. We use two-sided Wilcoxon-rank-sum tests 57 to confirm the significance of the differences between the data sources for each criterion. We use the same tests to determine the significance of the linguistic characteristics. This results in three comparisons (human vs. ChatGPT-3, human vs. ChatGPT-4, ChatGPT-3 vs. ChatGPT-4) for each of the seven rating criteria and each of the seven linguistic characteristics, i.e. 42 tests. We use the Holm-Bonferroni method 58 for the correction for multiple tests to achieve a family-wise error rate of 0.05. We report the effect size using Cohen’s d 59 . While our data is not perfectly normal, it also does not have severe outliers, so we prefer the clear interpretation of Cohen’s d over the slightly more appropriate, but less accessible non-parametric effect size measures. We report point plots with estimates of the mean scores for each data source and criterion, incl. the 95% confidence interval of these mean values. The confidence intervals are estimated in a non-parametric manner based on bootstrap sampling. We further visualize the distribution for each criterion using violin plots to provide a visual indicator of the spread of the data (see Supplementary material S4 ).

Further, we use the self-assessment of the English skills and confidence in the essay ratings as confounding variables. Through this, we determine if ratings are affected by the language skills or confidence, instead of the actual quality of the essays. We control for the impact of these by measuring Pearson’s correlation coefficient r 60 between the self-assessments and the ratings. We also determine whether the linguistic features are correlated with the ratings as expected. The sentence complexity (both tree depth and dependency clauses), as well as the nominalization, are indicators of the complexity of the language. Similarly, the use of discourse markers should signal a proper logical structure. Finally, a large lexical diversity should be correlated with the ratings for the vocabulary. Same as above, we measure Pearson’s r . We use a two-sided test for the significance based on a \(\beta\) -distribution that models the expected correlations as implemented by scipy 61 . Same as above, we use the Holm-Bonferroni method to account for multiple tests. However, we note that it is likely that all—even tiny—correlations are significant given our amount of data. Consequently, our interpretation of these results focuses on the strength of the correlations.

Our statistical analysis of the data is implemented in Python. We use pandas 1.5.3 and numpy 1.24.2 for the processing of data, pingouin 0.5.3 for the calculation of Cronbach’s \(\alpha\) , scipy 1.10.1 for the Wilcoxon-rank-sum tests Pearson’s r , and seaborn 0.12.2 for the generation of plots, incl. the calculation of error bars that visualize the confidence intervals.

Out of the 111 teachers who completed the questionnaire, 108 rated all six essays, one rated five essays, one rated two essays, and one rated only one essay. This results in 658 ratings for 270 essays (90 topics for each essay type: human-, ChatGPT-3-, ChatGPT-4-generated), with three ratings for 121 essays, two ratings for 144 essays, and one rating for five essays. The inter-rater agreement is consistently excellent ( \(\alpha >0.9\) ), with the exception of language mastery where we have good agreement ( \(\alpha =0.89\) , see Table  2 ). Further, the correlation analysis depicted in supplementary material S4 shows weak positive correlations ( \(r \in 0.11, 0.28]\) ) between the self-assessment for the English skills, respectively the self-assessment for the confidence in ratings and the actual ratings. Overall, this indicates that our ratings are reliable estimates of the actual quality of the essays with a potential small tendency that confidence in ratings and language skills yields better ratings, independent of the data source.

Table  2 and supplementary material S4 characterize the distribution of the ratings for the essays, grouped by the data source. We observe that for all criteria, we have a clear order of the mean values, with students having the worst ratings, ChatGPT-3 in the middle rank, and ChatGPT-4 with the best performance. We further observe that the standard deviations are fairly consistent and slightly larger than one, i.e. the spread is similar for all ratings and essays. This is further supported by the visual analysis of the violin plots.

The statistical analysis of the ratings reported in Table  4 shows that differences between the human-written essays and the ones generated by both ChatGPT models are significant. The effect sizes for human versus ChatGPT-3 essays are between 0.52 and 1.15, i.e. a medium ( \(d \in [0.5,0.8)\) ) to large ( \(d \in [0.8, 1.2)\) ) effect. On the one hand, the smallest effects are observed for the expressiveness and complexity, i.e. when it comes to the overall comprehensiveness and complexity of the sentence structures, the differences between the humans and the ChatGPT-3 model are smallest. On the other hand, the difference in language mastery is larger than all other differences, which indicates that humans are more prone to making mistakes when writing than the NLG models. The magnitude of differences between humans and ChatGPT-4 is larger with effect sizes between 0.88 and 1.43, i.e., a large to very large ( \(d \in [1.2, 2)\) ) effect. Same as for ChatGPT-3, the differences are smallest for expressiveness and complexity and largest for language mastery. Please note that the difference in language mastery between humans and both GPT models does not mean that the humans have low scores for language mastery (M=3.90), but rather that the NLG models have exceptionally high scores (M=5.03 for ChatGPT-3, M=5.25 for ChatGPT-4).

When we consider the differences between the two GPT models, we observe that while ChatGPT-4 has consistently higher mean values for all criteria, only the differences for logic and composition, vocabulary and text linking, and complexity are significant. The effect sizes are between 0.45 and 0.5, i.e. small ( \(d \in [0.2, 0.5)\) ) and medium. Thus, while GPT-4 seems to be an improvement over GPT-3.5 in general, the only clear indicator of this is a better and clearer logical composition and more complex writing with a more diverse vocabulary.

We also observe significant differences in the distribution of linguistic characteristics between all three groups (see Table  3 ). Sentence complexity (depth) is the only category without a significant difference between humans and ChatGPT-3, as well as ChatGPT-3 and ChatGPT-4. There is also no significant difference in the category of discourse markers between humans and ChatGPT-3. The magnitude of the effects varies a lot and is between 0.39 and 1.93, i.e., between small ( \(d \in [0.2, 0.5)\) ) and very large. However, in comparison to the ratings, there is no clear tendency regarding the direction of the differences. For instance, while the ChatGPT models write more complex sentences and use more nominalizations, humans tend to use more modals and epistemic markers instead. The lexical diversity of humans is higher than that of ChatGPT-3 but lower than that of ChatGPT-4. While there is no difference in the use of discourse markers between humans and ChatGPT-3, ChatGPT-4 uses significantly fewer discourse markers.

We detect the expected positive correlations between the complexity ratings and the linguistic markers for sentence complexity ( \(r=0.16\) for depth, \(r=0.19\) for clauses) and nominalizations ( \(r=0.22\) ). However, we observe a negative correlation between the logic ratings and the discourse markers ( \(r=-0.14\) ), which counters our intuition that more frequent use of discourse indicators makes a text more logically coherent. However, this is in line with previous work: McNamara et al. 45 also find no indication that the use of cohesion indices such as discourse connectives correlates with high- and low-proficiency essays. Finally, we observe the expected positive correlation between the ratings for the vocabulary and the lexical diversity ( \(r=0.12\) ). All observed correlations are significant. However, we note that the strength of all these correlations is weak and that the significance itself should not be over-interpreted due to the large sample size.

Our results provide clear answers to the first two research questions that consider the quality of the generated essays: ChatGPT performs well at writing argumentative student essays and outperforms the quality of the human-written essays significantly. The ChatGPT-4 model has (at least) a large effect and is on average about one point better than humans on a seven-point Likert scale.

Regarding the third research question, we find that there are significant linguistic differences between humans and AI-generated content. The AI-generated essays are highly structured, which for instance is reflected by the identical beginnings of the concluding sections of all ChatGPT essays (‘In conclusion, [...]’). The initial sentences of each essay are also very similar starting with a general statement using the main concepts of the essay topics. Although this corresponds to the general structure that is sought after for argumentative essays, it is striking to see that the ChatGPT models are so rigid in realizing this, whereas the human-written essays are looser in representing the guideline on the linguistic surface. Moreover, the linguistic fingerprint has the counter-intuitive property that the use of discourse markers is negatively correlated with logical coherence. We believe that this might be due to the rigid structure of the generated essays: instead of using discourse markers, the AI models provide a clear logical structure by separating the different arguments into paragraphs, thereby reducing the need for discourse markers.

Our data also shows that hallucinations are not a problem in the setting of argumentative essay writing: the essay topics are not really about factual correctness, but rather about argumentation and critical reflection on general concepts which seem to be contained within the knowledge of the AI model. The stochastic nature of the language generation is well-suited for this kind of task, as different plausible arguments can be seen as a sampling from all available arguments for a topic. Nevertheless, we need to perform a more systematic study of the argumentative structures in order to better understand the difference in argumentation between human-written and ChatGPT-generated essay content. Moreover, we also cannot rule out that subtle hallucinations may have been overlooked during the ratings. There are also essays with a low rating for the criteria related to factual correctness, indicating that there might be cases where the AI models still have problems, even if they are, on average, better than the students.

One of the issues with evaluations of the recent large-language models is not accounting for the impact of tainted data when benchmarking such models. While it is certainly possible that the essays that were sourced by Stab and Gurevych 41 from the internet were part of the training data of the GPT models, the proprietary nature of the model training means that we cannot confirm this. However, we note that the generated essays did not resemble the corpus of human essays at all. Moreover, the topics of the essays are general in the sense that any human should be able to reason and write about these topics, just by understanding concepts like ‘cooperation’. Consequently, a taint on these general topics, i.e. the fact that they might be present in the data, is not only possible but is actually expected and unproblematic, as it relates to the capability of the models to learn about concepts, rather than the memorization of specific task solutions.

While we did everything to ensure a sound construct and a high validity of our study, there are still certain issues that may affect our conclusions. Most importantly, neither the writers of the essays, nor their raters, were English native speakers. However, the students purposefully used a forum for English writing frequented by native speakers to ensure the language and content quality of their essays. This indicates that the resulting essays are likely above average for non-native speakers, as they went through at least one round of revisions with the help of native speakers. The teachers were informed that part of the training would be in English to prevent registrations from people without English language skills. Moreover, the self-assessment of the language skills was only weakly correlated with the ratings, indicating that the threat to the soundness of our results is low. While we cannot definitively rule out that our results would not be reproducible with other human raters, the high inter-rater agreement indicates that this is unlikely.

However, our reliance on essays written by non-native speakers affects the external validity and the generalizability of our results. It is certainly possible that native speaking students would perform better in the criteria related to language skills, though it is unclear by how much. However, the language skills were particular strengths of the AI models, meaning that while the difference might be smaller, it is still reasonable to conclude that the AI models would have at least comparable performance to humans, but possibly still better performance, just with a smaller gap. While we cannot rule out a difference for the content-related criteria, we also see no strong argument why native speakers should have better arguments than non-native speakers. Thus, while our results might not fully translate to native speakers, we see no reason why aspects regarding the content should not be similar. Further, our results were obtained based on high-school-level essays. Native and non-native speakers with higher education degrees or experts in fields would likely also achieve a better performance, such that the difference in performance between the AI models and humans would likely also be smaller in such a setting.

We further note that the essay topics may not be an unbiased sample. While Stab and Gurevych 41 randomly sampled the essays from the writing feedback section of an essay forum, it is unclear whether the essays posted there are representative of the general population of essay topics. Nevertheless, we believe that the threat is fairly low because our results are consistent and do not seem to be influenced by certain topics. Further, we cannot with certainty conclude how our results generalize beyond ChatGPT-3 and ChatGPT-4 to similar models like Bard ( https://bard.google.com/?hl=en ) Alpaca, and Dolly. Especially the results for linguistic characteristics are hard to predict. However, since—to the best of our knowledge and given the proprietary nature of some of these models—the general approach to how these models work is similar and the trends for essay quality should hold for models with comparable size and training procedures.

Finally, we want to note that the current speed of progress with generative AI is extremely fast and we are studying moving targets: ChatGPT 3.5 and 4 today are already not the same as the models we studied. Due to a lack of transparency regarding the specific incremental changes, we cannot know or predict how this might affect our results.

Our results provide a strong indication that the fear many teaching professionals have is warranted: the way students do homework and teachers assess it needs to change in a world of generative AI models. For non-native speakers, our results show that when students want to maximize their essay grades, they could easily do so by relying on results from AI models like ChatGPT. The very strong performance of the AI models indicates that this might also be the case for native speakers, though the difference in language skills is probably smaller. However, this is not and cannot be the goal of education. Consequently, educators need to change how they approach homework. Instead of just assigning and grading essays, we need to reflect more on the output of AI tools regarding their reasoning and correctness. AI models need to be seen as an integral part of education, but one which requires careful reflection and training of critical thinking skills.

Furthermore, teachers need to adapt strategies for teaching writing skills: as with the use of calculators, it is necessary to critically reflect with the students on when and how to use those tools. For instance, constructivists 62 argue that learning is enhanced by the active design and creation of unique artifacts by students themselves. In the present case this means that, in the long term, educational objectives may need to be adjusted. This is analogous to teaching good arithmetic skills to younger students and then allowing and encouraging students to use calculators freely in later stages of education. Similarly, once a sound level of literacy has been achieved, strongly integrating AI models in lesson plans may no longer run counter to reasonable learning goals.

In terms of shedding light on the quality and structure of AI-generated essays, this paper makes an important contribution by offering an independent, large-scale and statistically sound account of essay quality, comparing human-written and AI-generated texts. By comparing different versions of ChatGPT, we also offer a glance into the development of these models over time in terms of their linguistic properties and the quality they exhibit. Our results show that while the language generated by ChatGPT is considered very good by humans, there are also notable structural differences, e.g. in the use of discourse markers. This demonstrates that an in-depth consideration not only of the capabilities of generative AI models is required (i.e. which tasks can they be used for), but also of the language they generate. For example, if we read many AI-generated texts that use fewer discourse markers, it raises the question if and how this would affect our human use of discourse markers. Understanding how AI-generated texts differ from human-written enables us to look for these differences, to reason about their potential impact, and to study and possibly mitigate this impact.

Data availability

The datasets generated during and/or analysed during the current study are available in the Zenodo repository, https://doi.org/10.5281/zenodo.8343644

Code availability

All materials are available online in form of a replication package that contains the data and the analysis code, https://doi.org/10.5281/zenodo.8343644 .

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S.H., A.HJ., and U.H. conceived the experiment; S.H., A.HJ, and Z.K. collected the essays from ChatGPT; U.H. recruited the study participants; S.H., A.HJ., U.H. and A.T. conducted the training session and questionnaire; all authors contributed to the analysis of the results, the writing of the manuscript, and review of the manuscript.

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Herbold, S., Hautli-Janisz, A., Heuer, U. et al. A large-scale comparison of human-written versus ChatGPT-generated essays. Sci Rep 13 , 18617 (2023). https://doi.org/10.1038/s41598-023-45644-9

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How to Get ChatGPT to Write an Essay: Prompts, Outlines, & More

Last Updated: June 2, 2024 Fact Checked

Getting ChatGPT to Write the Essay

Using ai to help you write, expert interview.

This article was written by Bryce Warwick, JD and by wikiHow staff writer, Nicole Levine, MFA . Bryce Warwick is currently the President of Warwick Strategies, an organization based in the San Francisco Bay Area offering premium, personalized private tutoring for the GMAT, LSAT and GRE. Bryce has a JD from the George Washington University Law School. This article has been fact-checked, ensuring the accuracy of any cited facts and confirming the authority of its sources. This article has been viewed 47,865 times.

Are you curious about using ChatGPT to write an essay? While most instructors have tools that make it easy to detect AI-written essays, there are ways you can use OpenAI's ChatGPT to write papers without worrying about plagiarism or getting caught. In addition to writing essays for you, ChatGPT can also help you come up with topics, write outlines, find sources, check your grammar, and even format your citations. This wikiHow article will teach you the best ways to use ChatGPT to write essays, including helpful example prompts that will generate impressive papers.

Things You Should Know

• To have ChatGPT write an essay, tell it your topic, word count, type of essay, and facts or viewpoints to include.
• ChatGPT is also useful for generating essay topics, writing outlines, and checking grammar.
• Because ChatGPT can make mistakes and trigger AI-detection alarms, it's better to use AI to assist with writing than have it do the writing.

• Before using the OpenAI's ChatGPT to write your essay, make sure you understand your instructor's policies on AI tools. Using ChatGPT may be against the rules, and it's easy for instructors to detect AI-written essays.
• While you can use ChatGPT to write a polished-looking essay, there are drawbacks. Most importantly, ChatGPT cannot verify facts or provide references. This means that essays created by ChatGPT may contain made-up facts and biased content. [1] X Research source It's best to use ChatGPT for inspiration and examples instead of having it write the essay for you.

• The topic you want to write about.
• Essay length, such as word or page count. Whether you're writing an essay for a class, college application, or even a cover letter , you'll want to tell ChatGPT how much to write.
• Other assignment details, such as type of essay (e.g., personal, book report, etc.) and points to mention.
• If you're writing an argumentative or persuasive essay , know the stance you want to take so ChatGPT can argue your point.
• If you have notes on the topic that you want to include, you can also provide those to ChatGPT.
• When you plan an essay, think of a thesis, a topic sentence, a body paragraph, and the examples you expect to present in each paragraph.
• It can be like an outline and not an extensive sentence-by-sentence structure. It should be a good overview of how the points relate.

• "Write a 2000-word college essay that covers different approaches to gun violence prevention in the United States. Include facts about gun laws and give ideas on how to improve them."
• This prompt not only tells ChatGPT the topic, length, and grade level, but also that the essay is personal. ChatGPT will write the essay in the first-person point of view.
• "Write a 4-page college application essay about an obstacle I have overcome. I am applying to the Geography program and want to be a cartographer. The obstacle is that I have dyslexia. Explain that I have always loved maps, and that having dyslexia makes me better at making them."

Tyrone Showers

Be specific when using ChatGPT. Clear and concise prompts outlining your exact needs help ChatGPT tailor its response. Specify the desired outcome (e.g., creative writing, informative summary, functional resume), any length constraints (word or character count), and the preferred emotional tone (formal, humorous, etc.)

• In our essay about gun control, ChatGPT did not mention school shootings. If we want to discuss this topic in the essay, we can use the prompt, "Discuss school shootings in the essay."
• Let's say we review our college entrance essay and realize that we forgot to mention that we grew up without parents. Add to the essay by saying, "Mention that my parents died when I was young."
• In the Israel-Palestine essay, ChatGPT explored two options for peace: A 2-state solution and a bi-state solution. If you'd rather the essay focus on a single option, ask ChatGPT to remove one. For example, "Change my essay so that it focuses on a bi-state solution."

Pay close attention to the content ChatGPT generates. If you use ChatGPT often, you'll start noticing its patterns, like its tendency to begin articles with phrases like "in today's digital world." Once you spot patterns, you can refine your prompts to steer ChatGPT in a better direction and avoid repetitive content.

• "Give me ideas for an essay about the Israel-Palestine conflict."
• "Ideas for a persuasive essay about a current event."
• "Give me a list of argumentative essay topics about COVID-19 for a Political Science 101 class."

• "Create an outline for an argumentative essay called "The Impact of COVID-19 on the Economy."
• "Write an outline for an essay about positive uses of AI chatbots in schools."
• "Create an outline for a short 2-page essay on disinformation in the 2016 election."

• "Find peer-reviewed sources for advances in using MRNA vaccines for cancer."
• "Give me a list of sources from academic journals about Black feminism in the movie Black Panther."
• "Give me sources for an essay on current efforts to ban children's books in US libraries."

• "Write a 4-page college paper about how global warming is changing the automotive industry in the United States."
• "Write a 750-word personal college entrance essay about how my experience with homelessness as a child has made me more resilient."
• You can even refer to the outline you created with ChatGPT, as the AI bot can reference up to 3000 words from the current conversation. For example: "Write a 1000 word argumentative essay called 'The Impact of COVID-19 on the United States Economy' using the outline you provided. Argue that the government should take more action to support businesses affected by the pandemic."

• One way to do this is to paste a list of the sources you've used, including URLs, book titles, authors, pages, publishers, and other details, into ChatGPT along with the instruction "Create an MLA Works Cited page for these sources."
• You can also ask ChatGPT to provide a list of sources, and then build a Works Cited or References page that includes those sources. You can then replace sources you didn't use with the sources you did use.

Expert Q&A

• Because it's easy for teachers, hiring managers, and college admissions offices to spot AI-written essays, it's best to use your ChatGPT-written essay as a guide to write your own essay. Using the structure and ideas from ChatGPT, write an essay in the same format, but using your own words. Thanks Helpful 0 Not Helpful 0
• Always double-check the facts in your essay, and make sure facts are backed up with legitimate sources. Thanks Helpful 0 Not Helpful 0
• If you see an error that says ChatGPT is at capacity , wait a few moments and try again. Thanks Helpful 0 Not Helpful 0

• Using ChatGPT to write or assist with your essay may be against your instructor's rules. Make sure you understand the consequences of using ChatGPT to write or assist with your essay. Thanks Helpful 1 Not Helpful 0
• ChatGPT-written essays may include factual inaccuracies, outdated information, and inadequate detail. [3] X Research source Thanks Helpful 0 Not Helpful 0

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Thanks for reading our article! If you’d like to learn more about completing school assignments, check out our in-depth interview with Bryce Warwick, JD .

• ↑ https://help.openai.com/en/articles/6783457-what-is-chatgpt
• ↑ https://platform.openai.com/examples/default-essay-outline
• ↑ https://www.ipl.org/div/chatgpt/

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This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

ahmetbersoz/chatgpt-prompts-for-academic-writing

Folders and files, repository files navigation.

✨ NEW UPDATE: Literature Review Generator

A Custom GPT for Literature Review Generator has been released. It efficiently parses PDF files of research publications, extracts key themes, and creates a literature review section for your academic publications.

TRY NOW: https://chat.openai.com/g/g-G3U8pZGwC-literature-review-generator

ChatGPT Prompts for Academic Writing

In this repository, this list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans. Whether you're a student, researcher, or academic professional, these prompts can help you hone your writing abilities and tackle your writing projects with confidence.

Use directly in: chat.openai.com

The list is regularly updated, so you can keep track of new prompts by following this repository.

TIPS: As there is a limit to the number of words that can be used in ChatGPT, you can input your text multiple times using the prompt "Read this [PARAPGRAPH]:" and then run your final prompt "Considering the above text...".

You can also use prompts splitter: chatgpt-prompt-splitter.jjdiaz.dev

BRAINSTORMING

Article sections, title/topic sentence, introduction, literature review.

NOTE: Be careful and double-check article existence. ChatGPT may generate fake references

Methodology

Experiments, future works, improving language, summarization, plan/presentation, working with documents (available only in gpt-4).

Upload a PDF file of a paper then:

Upload a PDF file of your paper then:

Upload PDF files of papers then:

Upload a figure image then:

Contributors 4

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• Link to youtube
• Writing Tips

How to Write Your Essay Using ChatGPT

• 5-minute read
• 2nd May 2023

It’s tempting, isn’t it? You’ve read about and probably also witnessed how quickly ChatGPT can knock up text, seemingly in any genre or style and of any length, in less time than it takes you to make a cup of tea. However, getting ChatGPT to write your essay for you would be plagiarism . Universities and colleges are alive to the issue, and you may face serious academic penalties if you’re found to have used AI in that way.

So that’s that, right? Not necessarily.

This post is not about how to get ChatGPT to write your essay . It’s about how you can use the tool to help yourself write an essay .

What Is ChatGPT?

Let’s start with the basics. ChatGPT is one of several chatbots that can answer questions in a conversational style, as if the answer were coming from a human. It provides answers based on information it receives in development and in response to prompts you provide.

In that respect, like a human, ChatGPT is limited by the information it has. Where it lacks the information, it has a tendency to fill the gaps regardless . This action is dangerous if you’re relying on the accuracy of the information, and it’s another good reason you should not get ChatGPT to write your essay for you.

How Can You Use ChatGPT to Help With Your Essay?

Forget about the much talked-about writing skills of ChatGPT – writing is your thing here. Instead, think of ChatGPT as your assistant. Here are some ideas for how you can make it work for you.

Essay Prompts

If your task is to come up with your own essay topic but you find yourself staring at a blank page, you can use ChatGPT for inspiration. Your prompt could look something like this:

ChatGPT can offer several ideas. The choice of which one to write about (and you may, of course, still come up with one of your own) will be up to you, based on what interests you and the topic’s potential for in-depth analysis.

Essay Outlines

Having decided on your essay topic – or perhaps you’ve already been given one by your instructor – you may be struggling to figure out how to structure the essay. You can use ChatGPT to suggest an outline. Your prompt can be along these lines:

Just as you should not use ChatGPT to write an essay for you, you should not use it to research one – that’s your job.

If, however, you’re struggling to understand a particular extract, you can ask ChatGPT to summarize it or explain it in simpler terms.

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That said, you can’t rely on ChatGPT to be factually accurate in the information it provides, even when you think the information would be in its database, as we discovered in another post. Indeed, when we asked ChatGPT whether we should fact-check its information, the response was:

An appropriate use of ChatGPT for research would be to ask for academic resources for further reading on a particular topic. The advantage of doing this is that, in going on to locate and read the suggested resources, you will have checked that they exist and that the content is relevant and accurately set out in your essay.

Instead of researching the topic as a whole, you could use ChatGPT to generate suggestions for the occasional snippet of information, like this:

Before deciding which of its suggestions – if any – to include, you should ask ChatGPT for the source of the fact or statistic so you can check it and provide the necessary citation.

Referencing

Even reading the word above has probably made you groan. As if writing the essay isn’t hard enough, you then have to not only list all the sources you used, but also make sure that you’ve formatted them in a particular style. Here’s where you can use ChatGPT. We have a separate post dealing specifically with this topic, but in brief, you can ask something like this:

Where information is missing, as in the example above, ChatGPT will likely fill in the gaps. In such cases, you’ll have to ensure that the information it fills in is correct.

Proofreading

After finishing the writing and referencing, you’d be well advised to proofread your work, but you’re not always the best person to do so – you’d be tired and would likely read only what you expect to see. At least as a first step, you can copy and paste your essay into ChatGPT and ask it something like this:

You’ve got the message that you can’t just ask ChatGPT to write your essay, right? But in some areas, ChatGPT can help you write your essay, providing, as with any tool, you use it carefully and are alert to the risks.

We should point out that universities and colleges have different attitudes toward using AI – including whether you need to cite its use in your reference list – so always check what’s acceptable.

After using ChatGPT to help with your work, you can always ask our experts to look over it to check your references and/or improve your grammar, spelling, and tone. We’re available 24/7, and you can even try our services for free .

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Should I Use ChatGPT to Write My Essays?

Everything high school and college students need to know about using — and not using — ChatGPT for writing essays.

Jessica A. Kent

ChatGPT is one of the most buzzworthy technologies today.

In addition to other generative artificial intelligence (AI) models, it is expected to change the world. In academia, students and professors are preparing for the ways that ChatGPT will shape education, and especially how it will impact a fundamental element of any course: the academic essay.

Students can use ChatGPT to generate full essays based on a few simple prompts. But can AI actually produce high quality work, or is the technology just not there yet to deliver on its promise? Students may also be asking themselves if they should use AI to write their essays for them and what they might be losing out on if they did.

AI is here to stay, and it can either be a help or a hindrance depending on how you use it. Read on to become better informed about what ChatGPT can and can’t do, how to use it responsibly to support your academic assignments, and the benefits of writing your own essays.

What is Generative AI?

Artificial intelligence isn’t a twenty-first century invention. Beginning in the 1950s, data scientists started programming computers to solve problems and understand spoken language. AI’s capabilities grew as computer speeds increased and today we use AI for data analysis, finding patterns, and providing insights on the data it collects.

But why the sudden popularity in recent applications like ChatGPT? This new generation of AI goes further than just data analysis. Instead, generative AI creates new content. It does this by analyzing large amounts of data — GPT-3 was trained on 45 terabytes of data, or a quarter of the Library of Congress — and then generating new content based on the patterns it sees in the original data.

It’s like the predictive text feature on your phone; as you start typing a new message, predictive text makes suggestions of what should come next based on data from past conversations. Similarly, ChatGPT creates new text based on past data. With the right prompts, ChatGPT can write marketing content, code, business forecasts, and even entire academic essays on any subject within seconds.

But is generative AI as revolutionary as people think it is, or is it lacking in real intelligence?

The Drawbacks of Generative AI

It seems simple. You’ve been assigned an essay to write for class. You go to ChatGPT and ask it to write a five-paragraph academic essay on the topic you’ve been assigned. You wait a few seconds and it generates the essay for you!

But ChatGPT is still in its early stages of development, and that essay is likely not as accurate or well-written as you’d expect it to be. Be aware of the drawbacks of having ChatGPT complete your assignments.

It’s not intelligence, it’s statistics

One of the misconceptions about AI is that it has a degree of human intelligence. However, its intelligence is actually statistical analysis, as it can only generate “original” content based on the patterns it sees in already existing data and work.

It “hallucinates”

Generative AI models often provide false information — so much so that there’s a term for it: “AI hallucination.” OpenAI even has a warning on its home screen , saying that “ChatGPT may produce inaccurate information about people, places, or facts.” This may be due to gaps in its data, or because it lacks the ability to verify what it’s generating. 

It doesn’t do research  

If you ask ChatGPT to find and cite sources for you, it will do so, but they could be inaccurate or even made up.

This is because AI doesn’t know how to look for relevant research that can be applied to your thesis. Instead, it generates content based on past content, so if a number of papers cite certain sources, it will generate new content that sounds like it’s a credible source — except it likely may not be.

There are data privacy concerns

When you input your data into a public generative AI model like ChatGPT, where does that data go and who has access to it? 

Prompting ChatGPT with original research should be a cause for concern — especially if you’re inputting study participants’ personal information into the third-party, public application. 

JPMorgan has restricted use of ChatGPT due to privacy concerns, Italy temporarily blocked ChatGPT in March 2023 after a data breach, and Security Intelligence advises that “if [a user’s] notes include sensitive data … it enters the chatbot library. The user no longer has control over the information.”

It is important to be aware of these issues and take steps to ensure that you’re using the technology responsibly and ethically. 

It skirts the plagiarism issue

AI creates content by drawing on a large library of information that’s already been created, but is it plagiarizing? Could there be instances where ChatGPT “borrows” from previous work and places it into your work without citing it? Schools and universities today are wrestling with this question of what’s plagiarism and what’s not when it comes to AI-generated work.

To demonstrate this, one Elon University professor gave his class an assignment: Ask ChatGPT to write an essay for you, and then grade it yourself. 

“Many students expressed shock and dismay upon learning the AI could fabricate bogus information,” he writes, adding that he expected some essays to contain errors, but all of them did. 

His students were disappointed that “major tech companies had pushed out AI technology without ensuring that the general population understands its drawbacks” and were concerned about how many embraced such a flawed tool.

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How to Use AI as a Tool to Support Your Work

As more students are discovering, generative AI models like ChatGPT just aren’t as advanced or intelligent as they may believe. While AI may be a poor option for writing your essay, it can be a great tool to support your work.

Generate ideas for essays

Have ChatGPT help you come up with ideas for essays. For example, input specific prompts, such as, “Please give me five ideas for essays I can write on topics related to WWII,” or “Please give me five ideas for essays I can write comparing characters in twentieth century novels.” Then, use what it provides as a starting point for your original research.

Generate outlines

You can also use ChatGPT to help you create an outline for an essay. Ask it, “Can you create an outline for a five paragraph essay based on the following topic” and it will create an outline with an introduction, body paragraphs, conclusion, and a suggested thesis statement. Then, you can expand upon the outline with your own research and original thought.

Generate titles for your essays

Titles should draw a reader into your essay, yet they’re often hard to get right. Have ChatGPT help you by prompting it with, “Can you suggest five titles that would be good for a college essay about [topic]?”

The Benefits of Writing Your Essays Yourself

Asking a robot to write your essays for you may seem like an easy way to get ahead in your studies or save some time on assignments. But, outsourcing your work to ChatGPT can negatively impact not just your grades, but your ability to communicate and think critically as well. It’s always the best approach to write your essays yourself.

Create your own ideas

Writing an essay yourself means that you’re developing your own thoughts, opinions, and questions about the subject matter, then testing, proving, and defending those thoughts. 

When you complete school and start your career, projects aren’t simply about getting a good grade or checking a box, but can instead affect the company you’re working for — or even impact society. Being able to think for yourself is necessary to create change and not just cross work off your to-do list.

Building a foundation of original thinking and ideas now will help you carve your unique career path in the future.

Develop your critical thinking and analysis skills

In order to test or examine your opinions or questions about a subject matter, you need to analyze a problem or text, and then use your critical thinking skills to determine the argument you want to make to support your thesis. Critical thinking and analysis skills aren’t just necessary in school — they’re skills you’ll apply throughout your career and your life.

Improve your research skills

Writing your own essays will train you in how to conduct research, including where to find sources, how to determine if they’re credible, and their relevance in supporting or refuting your argument. Knowing how to do research is another key skill required throughout a wide variety of professional fields.

Learn to be a great communicator

Writing an essay involves communicating an idea clearly to your audience, structuring an argument that a reader can follow, and making a conclusion that challenges them to think differently about a subject. Effective and clear communication is necessary in every industry.

Be impacted by what you’re learning about : 

Engaging with the topic, conducting your own research, and developing original arguments allows you to really learn about a subject you may not have encountered before. Maybe a simple essay assignment around a work of literature, historical time period, or scientific study will spark a passion that can lead you to a new major or career.

Resources to Improve Your Essay Writing Skills

While there are many rewards to writing your essays yourself, the act of writing an essay can still be challenging, and the process may come easier for some students than others. But essay writing is a skill that you can hone, and students at Harvard Summer School have access to a number of on-campus and online resources to assist them.

Students can start with the Harvard Summer School Writing Center , where writing tutors can offer you help and guidance on any writing assignment in one-on-one meetings. Tutors can help you strengthen your argument, clarify your ideas, improve the essay’s structure, and lead you through revisions. 

The Harvard libraries are a great place to conduct your research, and its librarians can help you define your essay topic, plan and execute a research strategy, and locate sources. 

Finally, review the “ The Harvard Guide to Using Sources ,” which can guide you on what to cite in your essay and how to do it. Be sure to review the “Tips For Avoiding Plagiarism” on the “ Resources to Support Academic Integrity ” webpage as well to help ensure your success.

Sign up to our mailing list to learn more about Harvard Summer School

The Future of AI in the Classroom

ChatGPT and other generative AI models are here to stay, so it’s worthwhile to learn how you can leverage the technology responsibly and wisely so that it can be a tool to support your academic pursuits. However, nothing can replace the experience and achievement gained from communicating your own ideas and research in your own academic essays.

About the Author

Jessica A. Kent is a freelance writer based in Boston, Mass. and a Harvard Extension School alum. Her digital marketing content has been featured on Fast Company, Forbes, Nasdaq, and other industry websites; her essays and short stories have been featured in North American Review, Emerson Review, Writer’s Bone, and others.

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How to Use ChatGPT to Write Essays That Impress

Step 1: Use ChatGPT to Find and Refine Essay Topics

• Log into the service and type the following prompt into ChatGPT:

• As you can see, ChatGPT gave several good ideas for our essay. If you want to refine the idea further, you can ask the chatbot to cut out some parts of the idea and replace them. Or, you can ask for more context in certain parts. Example – “Expand more on topic number 5 and what it means.”

Step 2: Ask ChatGPT to Construct an Outline

• With the same chat open, type out “ Give me an essay outline for <selected topic>. Make sure to keep it structured as I’ll use it to write my essay .” In this case, I will use topic number 2 since it aligns with what I had in mind.

• As you can see above, we now have a structured outline for our essay. We can use this to write our essay or have ChatGPT do that job. Nonetheless, it’s a good starting point. As always, you can have the AI chatbot cut out parts of the outline or specifically add new ones depending on your requirement.

Step 3: Get ChatGPT to Cite Sources for Your Essay

Even though we have the idea and the outline, we will need to do our research for proof supporting our essay. Thankfully, ChatGPT can be of some help here. Since the chatbot is adept at moderate research, users can get a general idea of where to look for gathering information. Let’s begin doing that.

• Let’s begin asking ChatGPT for sources. With the same chat open, type in the following prompt:

• Now we have a list of 10 sources we can reference from. However, you can also see that ChatGPT mentions the year 2021 in some of them. Therefore, it’s best to use these websites but navigate to the latest pages pertaining to your essay for research. This applies to every topic, so always do it. Also, chatbots like ChatGPT have a habit of hallucinating and making up information, so do be careful.

Step 4: Have ChatGPT Write the Essay

• In the same chat, type the following prompt – “With the topic and outline available to you, generate a 700-word essay. Make sure to keep it structured and concise yet informational. Also, keep in mind my target audience is <Insert target audience> so cater to that accordingly.”
• In the middle of the essay, ChatGPT might stop and not answer. Simply type “ Continue ,” and it will finish the rest of the essay.

Step 5: Edit the Essay with ChatGPT

No matter if you have used ChatGPT to draft a complete essay or have written one yourself, you can use this step to make ChatGPT your co-editor and grammar checker. While your essay might need an initial look from a human, you can definitely use the bot to hash out the tone and add little details.

• Either open up the same chat or have your essay already in the clipboard. With that done, type out the following prompt:

Step 6: Export the Essay for Submission

However, for those who want to export the essay into a more aesthetic format, we have just the thing for you. There is no shortage of best ChatGPT Chrome extensions on the internet right now. We have one such selection linked in our list that can export selective chats onto beautiful image formats if you want to show off your essay. Check it out and let us know how you liked it.

Bonus: ChatGPT and AI Apps to Write Essays

1. writesonic.

Ryter is another helpful AI writing assistant that not only helps with essays but all types of articles. The service is powered by a language model that gives it intelligence. Rytr comes with 40+ different use cases and 20+ writing tones for all types of written material. For those who don’t want to stick to English, it even comes with support for 30+ languages.

Upanishad Sharma

Combining his love for Literature and Tech, Upanishad dived into the world of technology journalism with fire. Now he writes about anything and everything while keeping a keen eye on his first love of gaming. Often found chronically walking around the office.

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Sat / act prep online guides and tips, can you use chatgpt for your college essay.

College Admissions , College Essays

ChatGPT has become a popular topic of conversation since its official launch in November 2022. The artificial intelligence (AI) chatbot can be used for all sorts of things, like having conversations, answering questions, and even crafting complete pieces of writing.

If you’re applying for college, you might be wondering about ChatGPT college admissions’ potential.  Should you use a ChatGPT college essay in your application ?

By the time you finish reading this article, you’ll know much more about ChatGPT, including how students can use it responsibly and if it’s a good idea to use ChatGPT on college essays . We’ll answer all your questions, like:

• What is ChatGPT and why are schools talking about it?
• What are the good and bad aspects of ChatGPT?
• Should you use ChatGPT for college essays and applications?
• Can colleges detect ChatGPT?
• Are there other tools and strategies that students can use, instead?

We’ve got a lot to cover, so let’s get started!

Schools and colleges are worried about how new AI technology affects how students learn. (Don't worry. Robots aren't replacing your teachers...yet.)

What Is ChatGPT and Why Are Schools Talking About It?

ChatGPT (short for “Chat Generative Pre-trained Transformer”) is a chatbot created by OpenAI , an artificial intelligence research company. ChatGPT can be used for various tasks, like having human-like conversations, answering questions, giving recommendations, translating words and phrases—and writing things like essays. 

In order to do this, ChatGPT uses a neural network that’s been trained on thousands of resources to predict relationships between words. When you give ChatGPT a task, it uses that knowledge base to interpret your input or query. It then analyzes its data banks to predict the combinations of words that will best answer your question. 

So while ChatGPT might seem like it’s thinking, it’s actually pulling information from hundreds of thousands of resources , then answering your questions by looking for patterns in that data and predicting which words come next.  

Why Schools Are Concerned About ChatGPT

Unsurprisingly, schools are worried about ChatGPT and its misuse, especially in terms of academic dishonesty and plagiarism . Most schools, including colleges, require students’ work to be 100% their own. That’s because taking someone else’s ideas and passing them off as your own is stealing someone else’s intellectual property and misrepresenting your skills. 

The problem with ChatGPT from schools’ perspective is that it does the writing and research for you, then gives you the final product. In other words, you’re not doing the work it takes to complete an assignment when you’re using ChatGPT , which falls under schools’ plagiarism and dishonesty policies.  

Colleges are also concerned with how ChatGPT will negatively affect students’ critical thinking, research, and writing skills . Essays and other writing assignments are used to measure students’ mastery of the material, and if students submit ChatGPT college essays, teachers will just be giving feedback on an AI’s writing…which doesn’t help the student learn and grow. 

Beyond that, knowing how to write well is an important skill people need to be successful throughout life. Schools believe that if students rely on ChatGPT to write their essays, they’re doing more than just plagiarizing—they’re impacting their ability to succeed in their future careers. 

Many Schools Have Already Banned ChatGPT

Schools have responded surprisingly quickly to AI use, including ChatGPT. Worries about academic dishonesty, plagiarism, and mis/disinformation have led many high schools and colleges to ban the use of ChatGPT . Some schools have begun using AI-detection software for assignment submissions, and some have gone so far as to block students from using ChatGPT on their internet networks. 

It’s likely that schools will begin revising their academic honesty and plagiarism policies to address the use of AI tools like ChatGPT. You’ll want to stay up-to-date with your schools’ policies. 

ChatGPT is pretty amazing...but it's not a great tool for writing college essays. Here's why.

ChatGPT: College Admissions and Entrance Essays

College admissions essays—also called personal statements—ask students to explore important events, experiences, and ideas from their lives. A great entrance essay will explain what makes you you !  

ChatGPT is a machine that doesn’t know and can’t understand your experiences. That means using ChatGPT to write your admissions essays isn’t just unethical. It actually puts you at a disadvantage because ChatGPT can’t adequately showcase what it means to be you. 

Let’s take a look at four ways ChatGPT negatively impacts college admissions essays.

#1: ChatGPT Lacks Insight

We recommend students use u nexpected or slightly unusual topics because they help admissions committees learn more about you and what makes you unique. The chat bot doesn’t know any of that, so nothing ChatGPT writes can’t accurately reflect your experience, passions, or goals for the future. 

Because ChatGPT will make guesses about who you are, it won’t be able to share what makes you unique in a way that resonates with readers. And since that’s what admissions counselors care about, a ChatGPT college essay could negatively impact an otherwise strong application.  

#2: ChatGPT Might Plagiarize 

Writing about experiences that many other people have had isn’t a very strong approach to take for entrance essays . After all, you don’t want to blend in—you want to stand out! 

If you write your essay yourself and include key details about your past experiences and future goals, there’s little risk that you’ll write the same essay as someone else. But if you use ChatGPT—who’s to say someone else won’t, too? Since ChatGPT uses predictive guesses to write essays, there’s a good chance the text it uses in your essay already appeared in someone else’s.  

Additionally, ChatGPT learns from every single interaction it has. So even if your essay isn’t plagiarized, it’s now in the system. That means the next person who uses ChatGPT to write their essay may end up with yours. You’ll still be on the hook for submitting a ChatGPT college essay, and someone else will be in trouble, too.

#3: ChatGPT Doesn’t Understand Emotion 

Keep in mind that ChatGPT can’t experience or imitate emotions, and so its writing samples lack, well, a human touch ! 

A great entrance essay will explore experiences or topics you’re genuinely excited about or proud of . This is your chance to show your chosen schools what you’ve accomplished and how you’ll continue growing and learning, and an essay without emotion would be odd considering that these should be real, lived experiences and passions you have!

#4: ChatGPT Produced Mediocre Results

If you’re still curious what would happen if you submitted a ChatGPT college essay with your application, you’re in luck. Both Business Insider and Forbes asked ChatGPT to write a couple of college entrance essays, and then they sent them to college admissions readers to get their thoughts. 

The readers agreed that the essays would probably pass as being written by real students—assuming admissions committees didn’t use AI detection software—but that they both were about what a “very mediocre, perhaps even a middle school, student would produce.” The admissions professionals agreed that the essays probably wouldn’t perform very well with entrance committees, especially at more selective schools.  

That’s not exactly the reaction you want when an admission committee reads your application materials! So, when it comes to ChatGPT college admissions, it’s best to steer clear and write your admission materials by yourself. 

Can Colleges Detect ChatGPT?

We’ve already explained why it’s not a great idea to use ChatGPT to write your college essays and applications , but you may still be wondering: can colleges detect ChatGPT? 

In short, yes, they can! 

Software Can Detect ChatGPT

As technology improves and increases the risk of academic dishonesty, plagiarism, and mis/disinformation, software that can detect such technology is improving, too. For instance, OpenAI, the same company that built ChatGPT, is working on a text classifier that can tell the difference between AI-written text and human-written text .  

Turnitin, one of the most popular plagiarism detectors used by high schools and universities, also recently developed the AI Innovation Lab —a detection software designed to flag submissions that have used AI tools like ChatGPT. Turnitin says that this tool works with 98% confidence in detecting AI writing. 

Plagiarism and AI companies aren’t the only ones interested in AI-detection software. A 22-year old computer science student at Princeton created an app to detect ChatGPT writing, called Zero GPT. This software works by measuring the complexity of ideas and variety of sentence structures.  

Human Readers Can Detect ChatGPT 

It’s also worth keeping in mind that teachers can spot the use of ChatGPT themselves , even if it isn’t confirmed by a software detector. For example, if you’ve turned in one or two essays to your teacher already, they’re probably familiar with your unique writing style. If you submit a college essay draft essay that uses totally different vocabulary, sentence structures, and figures of speech, your teacher will likely take note.

Additionally , admissions committees and readers may be able to spot ChatGPT writing, too. ChatGPT (and AI writing, in general) uses more simplistic sentence structures with less variation, so that could make it easier to tell if you’ve submitted a ChatGPT college essay. These professionals also read thousands of essays every year, which means they know what a typical essay reads like. You want your college essay to catch their attention…but not because you used AI software! 

If you use ChatGPT responsibly, you can be as happy as these kids.

Pros and Cons of ChatGPT: College Admissions Edition

ChatGPT is a brand new technology, which means we’re still learning about the ways it can benefit us. It’s important to think about the pros and the cons to any new tool …and that includes artificial intelligence!

Let’s look at some of the good—and not-so-good—aspects of ChatGPT below. 

ChatGPT: The Good

It may seem like we’re focused on just the negatives of using ChatGPT in this article, but we’re willing to admit that the chatbot isn’t all bad. In fact, it can be a very useful tool for learning if used responsibly !

Like we already mentioned, students shouldn’t use ChatGPT to write entire essays or assignments. They can use it, though, as a learning tool alongside their own critical thinking and writing skills.

Students can use ChatGPT responsibly to:

• Learn more about a topic . It’s a great place to get started for general knowledge and ideas about most subjects.
• Find reputable and relevant sources on a topic. Students can ask ChatGPT for names and information about leading scholars, relevant websites and databases, and more. 
• Brainstorm ideas for assignments. Students can share the ideas they already have with ChatGPT, and in return, the chatbot can suggest ideas for further exploration and even organization of their points.
• Check work (that they’ve written themselves!) for errors or cla rity. This is similar to how spell- and grammar-checking software is used. ChatGPT may be even better than some competitors for this, because students can actually ask ChatGPT to explain the errors and their solutions—not just to fix them. 

Before you use ChatGPT—even for the tasks mentioned above—you should talk to your teacher or school about their AI and academic dishonesty policies. It’s also a good idea to include an acknowledgement that you used ChatGPT with an explanation of its use. 

This guy made some bad decisions using ChatGPT. Don't be this guy.

ChatGPT: The Bad

The first model of ChatGPT (GPT-3.5) was formally introduced to the public in November 2022, and the newer model (GPT-4) in March 2023. So, it’s still very new and there’s a lot of room for improvement .  

There are many misconceptions about ChatGPT. One of the most extreme is that the AI is all-knowing and can make its own decisions. Another is that ChatGPT is a search engine that, when asked a question, can just surf the web for timely, relevant resources and give you all of that information. Both of these beliefs are incorrect because ChatGPT is limited to the information it’s been given by OpenAI . 

Remember how the ‘PT’ in ChatGPT stands for “Pre-trained”? That means that every time OpenAI gives ChatGPT an update, it’s given more information to work with (and so it has more information to share with you). In other words, it’s “trained” on information so it can give you the most accurate and relevant responses possible—but that information can be limited and biased . Ultimately, humans at OpenAI decide what pieces of information to share with ChatGPT, so it’s only as accurate and reliable as the sources it has access to.

For example, if you were to ask ChatGPT-3.5 what notable headlines made the news last week, it would respond that it doesn’t have access to that information because its most recent update was in September 2021!

You’re probably already familiar with how easy it can be to come across misinformation, misleading and untrue information on the internet. Since ChatGPT can’t tell the difference between what is true and what isn’t, it’s up to the humans at OpenAI to make sure only accurate and true information is given to the chatbot . This leaves room for human error , and users of ChatGPT have to keep that in mind when using and learning from the chatbot.

These are just the most obvious problems with ChatGPT. Some other problems with the chatbot include:

• A lack of common sense. ChatGPT can create seemingly sensical responses to many questions and topics, but it doesn’t have common sense or complete background knowledge.
• A lack of empathy. ChatGPT doesn’t have emotions, so it can’t understand them, either. 
• An inability to make decisions or problem solve . While the chatbot can complete basic tasks like answering questions or giving recommendations, it can’t solve complex tasks. 

While there are some great uses for ChatGPT, it’s certainly not without its flaws.

Our bootcamp can help you put together amazing college essays that help you get into your dream schools—no AI necessary.

What Other Tools and Strategies Can Help Students Besides ChatGPT?

While it’s not a good idea to use ChatGPT for college admissions materials, it’s not the only tool available to help students with college essays and assignments.

One of the best strategies students can use to write good essays is to make sure they give themselves plenty of time for the assignment. The writing process includes much more than just drafting! Having time to brainstorm ideas, write out a draft, revise it for clarity and completeness, and polish it makes for a much stronger essay. 

Teachers are another great resource students can use, especially for college application essays. Asking a teacher (or two!) for feedback can really help students improve the focus, clarity, and correctness of an essay. It’s also a more interactive way to learn—being able to sit down with a teacher to talk about their feedback can be much more engaging than using other tools.

Using expert resources during the essay writing process can make a big difference, too. Our article outlines a complete list of strategies for students writing college admission essays. It breaks down what the Common Application essay is, gives tips for choosing the best essay topic, offers strategies for staying focused and being specific, and more.

You can also get help from people who know the college admissions process best, like former admissions counselors. PrepScholar’s Admissions Bootcamp guides you through the entire application process , and you’ll get insider tips and tricks from real-life admissions counselors that’ll make your applications stand out. Even better, our bootcamp includes step-by-step essay writing guidance, so you can get the help you need to make sure your essay is perfect.

If you’re hoping for more technological help, Grammarly is another AI tool that can check writing for correctness. It can correct things like misused and misspelled words and grammar mistakes, and it can improve your tone and style. 

It’s also widely available across multiple platforms through a Windows desktop app, an Android and iOS app, and a Google Chrome extension. And since Grammarly just checks your writing without doing any of the work for you, it’s totally safe to use on your college essays. 

The Bottom Line: ChatGPT College Admissions and Essays

ChatGPT will continue to be a popular discussion topic as it continues evolving. You can expect your chosen schools to address ChatGPT and other AI tools in their academic honesty and plagiarism policies in the near future—and maybe even to restrict or ban the use of the chatbot for school admissions and assignments.

As AI continues transforming, so will AI-detection. The goal is to make sure that AI is used responsibly by students so that they’re avoiding plagiarism and building their research, writing, and critical thinking skills. There are some great uses for ChatGPT when used responsibly, but you should always check with your teachers and schools beforehand.

ChatGPT’s “bad” aspects still need improving, and that’s going to take some time.Be aware that the chatbot isn’t even close to perfect, and it needs to be fact-checked just like other sources of information.

Similarly to other school assignments, don’t submit a ChatGPT college essay for college applications, either. College entrance essays should outline unique and interesting personal experiences and ideas, and those can only come from you.  

Just because ChatGPT isn’t a good idea doesn’t mean there aren’t resources to help you put together a great college essay. There are many other tools and strategies you can use instead of ChatGPT , many of which have been around for longer and offer better feedback. 

What’s Next?

Ready to write your college essays the old-fashioned way? Start here with our comprehensive guide to the admissions essays.  

Most students have to submit essays as part of their Common Application . Here's a complete breakdown of the Common App prompts —and how to answer them.

The most common type of essay answers the "why this college?" prompt. We've got an expert breakdown that shows you how to write a killer response , step by step. 

Ashley Sufflé Robinson has a Ph.D. in 19th Century English Literature. As a content writer for PrepScholar, Ashley is passionate about giving college-bound students the in-depth information they need to get into the school of their dreams.

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ChatGPT: the latest news, controversies, and tips you need to know

ChatGPT has continued to dazzle the internet with AI-generated content, morphing from a novel chatbot into a piece of technology that is driving the next era of innovation. No tech product in recent memory has sparked as much interest, controversy, fear, and excitement.

How to use ChatGPT

How to use the chatgpt iphone and android apps, is chatgpt free to use, who created chatgpt, what do the chatgpt errors mean, latest chatgpt controversies, can chatgpt be detected, common uses for chatgpt, what are chatgpt plugins, is there a chatgpt api.

• What’s the future of ChatGPT and GPT-5?

ChatGPT alternatives worth trying

Other things to know about chatgpt.

If you’re just now catching on, it’d be fair to wonder what the fuss is all about. You can try it out for yourself for free (or use the official free iOS app ), but here’s the detailed guide you’ve been looking for — whether you’re worried about an AI apocalypse or are just looking for an intro guide to the app.

ChatGPT is a natural language AI chatbot . At its most basic level, that means you can ask it any question, and it will generate an answer.

Using the ChatGPT chatbot itself is fairly simple, as all you have to do is type in your text and receive information. The key here is to be creative and see how your ChatGPT responds to different prompts. If you don’t get the intended result, try tweaking your prompt or giving ChatGPT further instructions. ChatGPT knows the context of previous questions you ask, so you can refine from there rather than starting over fresh every time.

For example, starting with “Explain how the solar system was made” will give a more detailed result with more paragraphs than “How was the solar system made,” even though both inquiries will give fairly detailed results. Take it a step further by giving ChatGPT more guidance about style or tone, saying “Explain how the solar system was made as a middle school teacher.”

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You also have the option for more specific inputting requests for an essay with a specific number of paragraphs or a Wikipedia page. We got an extremely detailed result with the request “write a four-paragraph essay explaining Mary Shelley’s Frankenstein.” And remember, ChatGPT is great at making tweaks to previous answers, so you can always ask for more detail, ask it to rewrite something, or ask it further questions.

To see what it can do, try using ChatGPT in daily life or work activities to see how it can help. Ask it to write emails, craft business proposals, fun date night ideas, or even a best man’s speech. So long as it doesn’t break some of the explicit or illegal content rules, the generator will do its best to fulfill the commands. It’s certainly is potential for ChatGPT to begin filling in gaps with incorrect data. As OpenAI notes, these instances are rare, but AI “hallucinations” certainly do happen . The company also notes that ChatGPT, which uses the GPT-3.5 LLM (large language model), currently has “limited knowledge of world events after 2021.” For more recent knowledge of the world, consider using another tool like Bing Chat .

However, OpenAI recently announced that ChatGPT Plus subscriber, who have access to the GPT-4 model, will be able to search the web for up-to-date information .

Even so, you have the option to input queries continuously until you close your browser or reset the thread to clear your previous requests. These chats are then saved in conversations in the sidebar, even automatically naming the chat. From there, you can manage these chats, renaming or deleting them as needed. You can even “hide” specific chats if needed .

You also have the option to use ChatGPT in dark mode or light mode.

Unlike Bing Chat , which can now generate images with Bing Image Creator and receive images as prompts for questions, ChatGPT only provides text outputs. In September 2023, however, OpenAI added the ability for you to use an image or voice as an input for your prompt. It’s currently only available to ChatGPT Plus subscribers.

As opposed to a simple voice assistant like Siri or Google Assistant , ChatGPT is built on what is called an LLM (Large Language Model). These neural networks are trained on huge quantities of information from the internet for deep learning — meaning they generate altogether new responses, rather than just regurgitating specific canned responses. They’re not built for a specific purpose like chatbots of the past — and they’re a whole lot smarter.

This is implied in the name of ChatGPT, which stands for Chat Generative Pre-trained Transformer. In the case of the current version of ChatGPT, it’s based on the GPT-3.5 LLM. The model behind ChatGPT was trained on all sorts of web content including websites, books, social media, news articles, and more — all fine-tuned in the language model by both supervised learning and RLHF (Reinforcement Learning From Human Feedback). OpenAI says this use of human AI trainers is really what makes ChatGPT stand out.

First, go to chat.openai.com . If it’s your first time, you’ll need to set up a free account with OpenAI before getting started. You have the option of choosing an easy login with a Google or Microsoft account, or just entering your email address. You’ll be asked next to enter a phone number ; however, keep in mind that you cannot use a virtual phone number (VoIP) to register for OpenAI. You will then receive a confirmation number, which you will enter on the registration page to complete the setup.

You’ll see some basic rules about ChatGPT, including potential errors in data, how OpenAI collects data, and how users can submit feedback — all of which have some wondering about whether or not ChatGPT is safe to use . Once you’re through that, you know you have successfully registered. You’re in!

After many months of anticipation, OpenAI has finally launched an official iOS app that you can go and download today . The app quickly topped half a million downloads in less than a week and is becoming available in an increasing number of countries .

Instructions for using it aren’t dissimilar to the ChatGPT web application. You do get an extra option for signing in using your Apple ID account, but it otherwise functions nearly identically to the web app — just type in your question and let the conversation begin.

The clean interface shows your conversation with GPT in a straightforward manner, hiding the chat history and settings behind the menu in the top right.

For those who are paying for ChatGPT Plus, the app lets you toggle between GPT-3.5 and GPT-4 too. You can even use the microphone to chat with ChatGPT over voice.

As our mobile editor noted in his experience with the app, it still doesn’t provide a connection to the internet like chatbots like Bing Chat and Perplexity .

Users have been asking for Android support for months, and now, a ChatGPT Android app is finally available . You can find it in the Google Play Store, but it’s limited to certain countries at the moment, including the U.S., India, and Brazil.

Some devices go beyond just the app, too. For instance, the Infinix Folax is an Android phone that integrated ChatGPT throughout the device. Instead of just an app, the phone replaces the typical smart assistant (Google Assistant) with ChatGPT.

Yes, the basic version of ChatGPT is completely free to use. There’s no limit to how much you can use ChatGPT in a day, though there is a word and character limit for responses .

It’s not free for OpenAI to continue running it, of course. Initial estimates are currently that OpenAI spends around $3 million per month to continue running ChatGPT, which is around $100,000 per day. A report from April indicated that the price of operation is closer to $700,000 per day .

Beyond the cost of the servers themselves, some egregious information has recently come out about what else has been done to train the language model against producing offensive content.

OpenAI also has a premium version of its chatbot, called ChatGPT Plus . It costs $20 a month but provides access even during peak times, faster responses, and first access to new features like GPT-4 .

ChatGPT was created by an organization called OpenAI, a San Francisco-based AI research lab. The organization started as a non-profit meant for collaboration with other institutions and researchers, funded by high-profile figures like Peter Thiel and Elon Musk.

OpenAI later became a for-profit company in 2019 and is now led by its CEO, Sam Altman. It runs on Microsoft’s Azure system infrastructure and is powered by Nvidia’s GPUs, including the new supercomputers just announced this year . Microsoft has invested heavily in OpenAI too, starting in 2019.

Many people attempting to use ChatGPT have been getting an “at capacity” notice when trying to access the site . It’s likely behind the move to try and use unofficial paid apps, which have already flooded app stores  and scammed thousands into paying for a free service.

Because of how much ChatGPT costs to run, it seems as if OpenAI has been limiting access when its servers are “at capacity.” It can take as long as a few hours to wait out, but if you’re patient, you’ll get through eventually. Of all the problems facing ChatGPT right now, this had been the biggest hurdle for keeping people from using it more. In some cases, demand has been so high that ChatGPT has gone down for several hours for maintenance multiple times over the past few months.

This seems to be less of a problem recently, though, as demand has normalized and OpenAI has learned to manage the traffic better, but in the middle of the day, it still makes an appearance from time to time.

Although ChatGPT is a very useful tool, it isn’t free of problems. It’s known for making mistakes or “hallucinations,” where it makes up an answer to something it doesn’t know. A simple example of how unreliable it can sometimes be involved misidentifying the prime minister of Japan .

Beyond just making mistakes, many people are concerned about what this human-like generative AI could mean for the future of the internet, so much so that thousands of tech leaders and prominent public figures have signed a petition to slow down the development. It was even banned in Italy due to privacy concerns, alongside complaints from the FTC — although that’s now been reversed. Since then, the FTC has reopened investigations against OpenAI on questions of personal consumer data is being handled.

Speaking of bans, a number of high-profile companies have been disallowing the use of ChatGPT internally, including Samsung, Amazon, Verizon, and even the United States Congress . Apple is also on the list, though Tim Cook stated that he uses it, just weeks after having it banned .

There’s also the concern that generative AI like ChatGPT could result in the loss of many jobs — as many as 300 million worldwide, according to Goldman Sachs. In particular, it’s taken the spotlight in Hollywood’s writer’s strike , which wants to ensure that AI-written scripts don’t take the jobs of working screenwriters.

Beyond that, multiple controversies have also sprung up around people using ChatGPT to handle tasks that should probably be handled by an actual person. One of the worst cases of this is generating malware, which the FBI recently warned ChatGPT is being used for.

For example, Vanderbilt University’s Peabody School was recently under fire for generating an email about a mass shooting and the importance of community. In addition, JPMorgan Chase is restricting the use of the AI chatbot for workers, especially for generating emails, which companies like Apple have also prohibited internally.

There are also privacy concerns. A recent GDPR complaint says that ChatGPT violates user’s privacy by stealing data from users without their knowledge, and using that data to train the AI model.

Lastly, ChatGPT was even made able to generate Windows 11 keys for free , according to one user. Of course, this is not how ChatGPT was meant to be used, but it’s significant that it was even able to be “tricked” into generating the keys in the first place.

Teachers, school administrators, and developers are already finding different ways around this and banning the use of ChatGPT in schools . Others are more optimistic about how ChatGPT might be used for teaching, but plagiarism is undoubtedly going to continue being an issue in terms of education in the future. There are some ideas about how ChatGPT could “watermark” its text and fix this plagiarism problem, but as of now, detecting ChatGPT is still incredibly difficult to do.

ChatGPT recently launched a new version of its own plagiarism detection tool , with hopes that it will squelch some of the criticism around how people are using the text generation. It uses a new feature called “AI text classifier,” which operates in a way familiar to other plagiarism software. According to OpenAI, however, the tool is still a work in progress and is “imperfect.”

Other tools like GPTZero claim to help detect ChatGPT plagiarism, too. Although they work, some extra editing on AI responses can still trip up these tools.

Well, that’s the fun part. Since its launch, people have been experimenting to discover everything the chatbot can and can’t do — and some of the results have been mind-blowing .

Learning the kinds of prompts and follow-up prompts that ChatGPT responds well to requires some experimentation though. Much like we’ve learned to get the information we want from traditional search engines, it can take some time to get the best results from ChatGPT. If you want to get started, we have a roundup of the best ChatGPT tips .

It really all depends on what you want out of it. To start out, try using it to write a template blog post, for example, or even blocks of code if you’re a programmer.

Our writers experimented with ChatGPT too, attempting to see if it could handle holiday shopping or even properly interpret astrological makeup . In both cases, we found limitations to what it could do while still being thoroughly impressed by the results.

But the fun is in trying it out yourself. Whether you think ChatGPT is an amazing piece of tech or will lead to the destruction of the internet as we know it, it’s worth trying out for yourself to see just what it’s capable of.

Following an update on August 10, you can now use custom instructions with ChatGPT . This allows you to customize how the AI chatbot responds to your inputs so you can tailor it for your needs.

You can’t ask anything, though. OpenAI has safeguards in place in order to “build a safe and beneficial artificial general intelligence.” That means any questions that are hateful, sexist, racist, or discriminatory in any way are generally off-limits.

The announcement of ChatGPT plugins caused a great stir in the developer community, with some calling it “the most powerful developer platform ever created.” AI enthusiasts have compared it to the surge of interest in the iOS App Store when it first launched, greatly expanding the capabilities of the iPhone.

Essentially, developers will be able to build plugins directly for ChatGPT, to open it up to have access to the whole of the internet and connect directly to the APIs of specific applications. It’s ChatGPT out in the real world. Some of the examples provided by OpenAI include applications being able to perform actions on behalf of the user, retrieve real-time information, and access knowledge-based information.

It’s currently only available on a waitlist, but early applications to use plugins with ChatGPT include Expedia, Instacart, Slack, and OpenTable — and now there are lots to explore, including the ones we’ve seen as the best ChatGPT plugins to try out.

Outside of the ChatGPT app itself, many apps had been announced as partners with OpenAI using the ChatGPT API. Of the initial batch, the most prominent example is Snapchat’s MyAI .

Essentially, this is a way for developers to access ChatGPT and plug its natural language capabilities directly into apps and websites. We’ve seen it used in all sorts of different cases, ranging from suggesting parts in Newegg’s PC builder to building out a travel itinerary with just a few words. Recently, OpenAI made the ChatGPT API available to everyone, and we’ve seen a surge in tools leveraging the technology, such as Discord’s Clyde chatbot or Wix’s website builder .

What’s the future of ChatGPT and GPT-5?

There’s no doubt that the tech world has become obsessed with ChatGPT right now, and it’s not slowing down anytime soon. GPT-4, the next iteration of the model, has officially launched, though it’s currently only available for ChatGPT Plus. We do know, however, that Bing Chat is at least partially built on the GPT-4 language model, even if certain elements such as visual input aren’t available.

But the bigger development will be how ChatGPT continues to be integrated into other applications. Microsoft reportedly made a multibillion-dollar investment in ChatGPT , which is already starting to pay off. The first integration was in Teams Premium , with some of OpenAI’s features showing up to automate tasks and provide transcripts. Most prominently, Microsoft revealed 365 Copilot , which integrates ChatGPT natural language prompts directly into Office apps like Word, PowerPoint, Outlook, and more.

There were initial reports that GPT-5 is on the way and could finish training later this year, with some people claiming that it would achieve AGI (artificial general intelligence). That’s a big, controversial statement, but clearly, things are progressing at a rapid pace.

Since then, OpenAI has stated that GPT-5 is not on the timeline and is not currently planned. That being said, the next version, GPT-4.5, is currently training and may be available later this year. OpenAI indicated that it may be done planning as early as September or October.

All that to say, if you think AI is a big deal now, just wait until it’s built into the most common applications that are used for work and school.

ChatGPT remains the most popular AI chatbot at the moment, but it’s not completely without competition. Microsoft’s Bing Chat is the biggest rival, which uses OpenAI’s GPT-4 model as a basis for its answers. Although it requires downloading the Edge browser to use, Bing Chat is free and offers some added features such as different writing modes, image creation, and search links. It even got a significant update recently that introduced features like export, third-party plugins, and multimodal support. There’s also YouChat, which uses GPT-3, an older model from OpenAI, and Forefront AI , which gives you access to GPT-4 and beyond.

The biggest non-GPT competitor to ChatGPT is Google Bard . It’s based on Google’s own homegrown language model, LaMDA, and Google seems intent on competing directly with OpenAI with Google Bard. The most recent updates make it a far more compelling alternative to ChatGPT , even if it’s not quite there.

There are a number of other chatbots out there, some of which are based on Meta’s open-source language model, LLaMA, such as Vicuna and HuggingChat .

Reports suggest Apple has been working on a ChatGPT rival for years , as well, though we haven’t seen it yet. Some reporters say it is “significantly behind competitors” at the moment.

Are ChatGPT chats private?

It depends on what you mean by private. All chats with ChatGPT are used by OpenAI to further tune the models, which can actually involve the use of human trainers. No, that doesn’t mean a human is looking through every question you ask ChatGPT, but there’s a reason OpenAI warns against providing any personal information to ChatGPT.

It should be noted that if you don’t delete your chats, the conversations will appear in the left sidebar. Unlike with other chatbots, individual chats within a conversation cannot be deleted, though they can be edited using the pencil icon that appears when you hover over a chat. When you delete the conversations, however, it’s not that ChatGPT forgets they ever happened — it’s just that they disappear from the sidebar chat history.

Fortunately, OpenAI has recently announced a way to make your chats hidden from the sidebar . These “hidden” chats won’t be used to train AI models either.

When was ChatGPT released?

ChatGPT was originally launched to the public in November of 2022 by OpenAI. The chatbot is based on the GPT-3.5 LLM, which is a fine-tuned version of GPT-3, a model first launched on March 15, 2022. GPT-3 itself, though, has been around for a few years now. It was first released in June 2020, but only as an autoregressive language model.

The predecessors to GPT-3 had very limited public exposure. GPT-2 was announced in February 2019, and the first research paper on GPT was published on OpenAI’s website in 2018.

Will ChatGPT replace Google Search?

Rather than replace it, chatbots are likely to be integrated directly into search. Microsoft has already done this with Bing Chat and Bing, which puts a “chat” tab right into the menu of Bing search.

Even Google has begun experimenting with integrating the smarts of Google Bard into search through its Search Generative Experience . We’re in the early days where all these exist as different products, but it’s not hard to imagine a future where it’s a completely unified experience.

Is Bing Chat the same as ChatGPT?

Microsoft has officially brought ChatGPT to Bing in the form of Bing Chat . After a long beta period, it was officially available to try out. But unlike ChatGPT , Bing Chat does require downloading the latest version of Edge. So Safari or Chrome users are out of luck.

In the early days of its release, Bing Chat was capable of some unhinged responses , but Microsoft has been quick to tame things a bit. It was recently announced that Bing Chat is using the latest GPT-4 language model , meaning it’s more powerful and accurate than ChatGPT . The new Edge Copilot mode also provides a more user-friendly way to get started, offering suggested prompts, links to learn more, and ways to tweak the kinds of answers it gives you. And now with the Windows Copilot , Bing Chat will live right on your desktop.

Is Google Bard the same as ChatGPT?

Unlike Bing Chat, Google Bard  uses an entirely different LLM to power its natural language capabilities. Upon its release, Bard has been using LaMDA, the company’s own model, which stands for Language Model for Dialogue Applications. As has been demonstrated from early on, Bard didn’t have quite the precision in its answers.

Reports indicate, however, that Bard is getting a massive update soon, going from being trained on 30 billion parameters up to 600 billion parameters. That could make it closer to what is possible with GPT-4.

Can you write essays with ChatGPT?

The use of ChatGPT has been full of controversy, with many onlookers considering how the power of AI will change everything from search engines to novel writing. It’s even demonstrated the ability to earn students surprisingly good grades in essay writing.

Essay writing for students is one of the most obvious examples of where ChatGPT could become a problem. ChatGPT might not write this article all that well, but it feels particularly easy to use for essay writing. Some generative AI tools, such as Caktus AI , are built specifically for this purpose.

Can ChatGPT write and debug code?

Absolutely — it’s one of the most powerful features of ChatGPT. As with everything with AI, you’ll want to double-check everything it produces, because it won’t always get your code right. But it’s certainly powerful at both writing code from scratch and debugging code.

Developers have used it to create websites, applications, and games from scratch — all of which are made more powerful with GPT-4, of course. There’s even a plug-in called ChatGPT Code Interpreter that makes programming with AI even more accessible.

What is the ChatGPT character limit?

OpenAI doesn’t set an exact character limit, but it will cut off around its responses at about 500 words or 4,000 characters. If you happen to give the chatbot a request for a specific number of words above 500, you might find that it cuts off mid-sentence somewhere after 500 words.

One way to get around this is just to ask it to “go on” or “continue,” but it depends on the prompt and type of response. Sometimes ChatGPT will more or less repeat the previous answers in different words.

The best way to get access to responses with longer characters is to upgrade to ChatGPT Plus.

Is there a ChatGPT bug bounty program?

Yes. A bug bounty program for ChatGPT was recently announced . The program was unveiled officially on OpenAI’s website , which details the types of “cash awards” that are being offered. They range from $200 to up to $20,000 for what it calls “exceptional discoveries.”

While addressing security researchers interested in getting involved in the program, OpenAI said it recognized “the critical importance of security and view it as a collaborative effort. By sharing your findings, you will play a crucial role in making our technology safer for everyone.”

Do you need to download ChatGPT?

ChatGPT is available via a webpage , so no downloading is needed. However, OpenAI has finally released a free, official iOS app that needs to be downloaded from the iOS app store. For many months, the various app stores were full of fake versions. These are still out there, though, and should be installed and used with caution, as they are not official ChatGPT apps. There is no still no official Android app.

On desktop, there are a couple of ways to install ChatGPT, though. First, you can navigate to the ChatGPT website and save it as a Windows app through Edge. Go to the site, click the ellipsis menu, and hover over Apps.  Select  Install this site as an app  to load ChatGPT from your desktop.

Other tools like MacGPT also allow shortcuts to access the browser service from your desktop.

Can you use ChatGPT on iPhone or Android?

Now that there’s an official iOS app, you no longer have to rely solely on the web app to use ChatGPT on your phone . So, whether with the official app as downloaded through the app store or just the web version, you can certainly use ChatGPT on iPhones. In addition, there’s even a way to replace Siri with ChatGPT on your iPhone, as well as some useful mobile apps like Perplexity AI .

As for Android, you’ll need to rely on the web app. Just as on desktop, type in chat.openai.com to start using ChatGPT.

Can you get ChatGPT to answer any question?

Not exactly. ChatGPT has limitations in the kinds of questions it can answer. First of all, it can’t write about anything that requires internet knowledge after late 2021, which is when its training stopped.

Beyond that, ChatGPT is careful about answering questions that might imply illegal, explicit, or damaging activity. It’ll avoid swearing or political debates, and will (usually) avoid making malware. There is some amount of jailbreaking that can be done to get around these restrictions, but OpenAI is constantly tightening its content policies to restrict unwanted answers. One example of a common jailbreaking technique is the DAN (Do Anything Now) prompt , though OpenAI has worked hard to plug these holes over time.

What is Auto-GPT?

Built on GPT-4, Auto-GPT is the latest evolution of AI technology to cause a stir in the industry. It’s not directly related to ChatGPT or OpenAI — instead, it’s an open-source Python application that got into the hands of developers all over the internet when it was published on GitHub .

With ChatGPT or ChatGPT Plus, the capabilities of the AI are limited to a single chat window. Auto-GPT, at its simplest, is making AI autonomous. It can be given a set of goals, and then take the necessary steps towards accomplishing that goal across the internet, including connecting up with applications and software.

According to the official description on GitHub, Auto-GPT is an “experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM ‘thoughts’, to autonomously achieve whatever goal you set. As one of the first examples of GPT-4 running fully autonomously, Auto-GPT pushes the boundaries of what is possible with AI.”

The demo used on the GitHub page is simple — just create a recipe appropriate for Easter and save it to a file. What’s neat is how Auto-GPT breaks down the steps the AI is taking to accomplish the goal, including the “thoughts” and “reasoning” behind its actions. Auto-GPT is already being used in a variety of different applications, with some touting it as the beginning of AGI (Artificial General Intelligence) due to its autonomous nature.

What is GPT-4 and how does it compare to GPT-3.5?

GPT-4 is a more advanced LLM — the most powerful that OpenAI currently offers. At the current moment, OpenAI only offers access to GPT-4 through ChatGPT Plus. GPT-3.5, on the other hand, is the LLM that powers the free ChatGPT tool. OpenAI no longer says exactly how many parameters these advanced models are trained on, but it’s rumored that GPT-4 boasts up to 1 trillion parameters.

Regardless, the results are a fairly dramatic difference between GPT-3.5 and GPT-4 in terms of quality. It offers much more precise answers, is significantly better at coding and creative collaboration, and can provide (and respond to) much longer selections of text. GPT-4 remains the best possible model available, while GPT-3.5 is more in line with some other models available.

Who owns the copyright to content created by ChatGPT?

This is a question open to debate. Much of the conversation around copyright and AI is ongoing, with some saying generative AI is “stealing” the work of the content it was trained on. This has become increasingly contentious in the world of AI art. Companies like Adobe are finding ways around this by only training models on stock image libraries that already have proper artist credit and legal boundaries.

According to OpenAI, however, you have the right to reprint, sell, and merchandise anything that was created with ChatGPT or ChatGPT Plus. So, you’re not going to get sued by OpenAI.

The larger topic of copyright law regarding generative AI is still to be determined by various lawmakers and interpreters of the law, especially since copyright law as it currently stands technically only protects content created by human beings.

Editors' Recommendations

• The free version of ChatGPT just got much more powerful
• OpenAI strikes major deal with News Corp to boost ChatGPT
• GPT-4o: What the latest ChatGPT update can do and when you can get it
• ChatGPT can laugh now, and it’s downright creepy
• The best ChatGPT plug-ins you can use
• Artificial Intelligence

OpenAI needs to watch out because Apple may finally be jumping on the AI bandwagon, and the news doesn't bode well for ChatGPT. Apple is reportedly working on a large language model (LLM) referred to as ReALM, which stands for Reference Resolution As Language Modeling. Made to give Siri a boost and help it understand context, the model comes in four variants, and Apple claims that even its smallest model performs on a similar level to OpenAI's ChatGPT.

This tantalizing bit of information comes from an Apple research paper, first shared by Windows Central, and it appears to be an early peek into what Apple has been cooking for a while now. ReALM is Apple's own LLM that was reportedly made to enhance Siri's capabilities; these improvements include a greater ability to understand context in a conversation.

The ChatGPT chatbot is an innovative AI tool developed by OpenAI. As it stands, there are two main versions of the software: GPT-4 and GPT-3.5. Toe to toe in more ways than one, there are a couple of key differences between both versions that may be deal-breakers for certain users. But what exactly are these differences? We’re here to help you find out. 

We’ve put together this side-by-side comparison of both ChatGPT versions, so when you’re done reading, you’ll know what version makes the most sense for you and yours. What are GPT 3.5 and GPT-4?

ChatGPT, the AI-powered chatbot that went viral at the start of last year and kicked off a wave of interest in generative AI tools, no longer requires an account to use.

Its creator, OpenAI, launched a webpage on Monday that lets you begin a conversation with the chatbot without having to sign up or log in first.

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When you click through from our site to a retailer and buy a product or service, we may earn affiliate commissions. This helps support our work, but does not affect what we cover or how, and it does not affect the price you pay. Neither ZDNET nor the author are compensated for these independent reviews. Indeed, we follow strict guidelines that ensure our editorial content is never influenced by advertisers.

ZDNET's editorial team writes on behalf of you, our reader. Our goal is to deliver the most accurate information and the most knowledgeable advice possible in order to help you make smarter buying decisions on tech gear and a wide array of products and services. Our editors thoroughly review and fact-check every article to ensure that our content meets the highest standards. If we have made an error or published misleading information, we will correct or clarify the article. If you see inaccuracies in our content, please report the mistake via this form .

What is ChatGPT and why does it matter? Here's what you need to know

What is ChatGPT?

ChatGPT is an AI chatbot with natural language processing (NLP) that allows you to have human-like conversations to complete various tasks. The  generative AI  tool can answer questions and assist you with tasks such as composing emails, essays, code, and more.

Also :  How to use ChatGPT: What you need to know now

It's currently  open to use for free . A paid subscription version called ChatGPT Plus launched in February 2023 with access to priority access to OpenAI's latest models and updates.

Who made ChatGPT?

AI startup OpenAI launched ChatGPT on November 30, 2022. OpenAI has also developed  DALL-E 2  and DALL-E 3 , popular  AI image generators , and Whisper, an automatic speech recognition system. 

Who owns ChatGPT currently?

OpenAI owns ChatGPT. Microsoft is a major investor in OpenAI thanks to multiyear, multi-billion dollar  investments. Elon Musk was an investor when OpenAI was first founded in 2015, but has since completely severed ties with the startup and created his own AI chatbot, Grok .

How can you access ChatGPT?

On April 1, 2024, OpenAI stopped requiring you to log in to use ChatGPT. Now, you can access ChatGPT simply by visiting  chat.openai.com . You can also access ChatGPT  via an app on your iPhone  or  Android  device.

Once you visit the site, you can start chatting away with ChatGPT. A great way to get started is by asking a question, similar to what you would do with Google. You can ask as many questions as you'd like.

Also: ChatGPT no longer requires a login, but you might want one anyway. Here's why

There are still some perks to creating an OpenAI account, such saving and reviewing your chat history and accessing custom instructions. Creating an OpenAI account is entirely free and easy. You can even log in with your Google account.

For step-by-step instructions, check out ZDNET's guide on  how to start using ChatGPT . 

Is there a ChatGPT app?

Yes, an official ChatGPT app is available for both iPhone and Android users. 

Also: ChatGPT dropped a free app for iPhones. Does it live up to the hype?

Make sure to download OpenAI's app, as there are a plethora of copycat fake apps listed on Apple's App Store and the Google Play Store that are not affiliated with the startup.

Is ChatGPT available for free?

ChatGPT is free to use, regardless of what you use it for, including writing, coding, and much more. 

There is a subscription option , ChatGPT Plus, that users can take advantage of that costs $20/month. The paid subscription model guarantees users extra perks, such as priority access to GPT-4o and the latest upgrades. 

Also: ChatGPT vs ChatGPT Plus: Is it worth the subscription fee?

Although the subscription price may seem steep, it is the same amount as Microsoft Copilot Pro and Google One AI, Microsoft's and Google's premium AI offerings. 

The free version is still a solid option as it can access the same model and most of the same perks. One major exception: only subscribers get guaranteed access to GPT-4o when the model is at capacity. 

I tried using ChatGPT and it says it's at capacity. What does that mean?

The ChatGPT website operates using servers. When too many people hop onto these servers, they may overload and can't process your request. If this happens to you, you can visit the site later when fewer people are trying to access the tool. You can also keep the tab open and refresh it periodically. 

Also: The best AI chatbots

If you want to skip the wait and have reliable access, you can subscribe to  ChatGPT Plus  for general access during peak times, faster response times, and priority access to new features and improvements, including priority access to GPT-4o.

You can also try using Bing's AI chatbot, Copilot . This chatbot is free to use, runs on GPT-4, has no wait times, and can access the internet for more accurate information.

What is ChatGPT used for?

ChatGPT has many functions in addition to answering simple questions. ChatGPT can compose essays , have philosophical conversations, do math, and even code for you . 

The tasks ChatGPT can help with also don't have to be so ambitious. For example, my favorite use of ChatGPT is for help creating basic lists for chores, such as packing and grocery shopping, and to-do lists that make my daily life more productive. The possibilities are endless. 

ZDNET has published many ChatGPT how-to guides. Below are some of the most popular ones. 

Use ChatGPT to: 

• Write an essay
• Create an app
• Build your resume
• Write Excel formulas
• Summarize content
• Write a cover letter
• Start an Etsy business
• Create charts and tables
• Write Adruino drivers

Can ChatGPT generate images?

Yes, ChatGPT can generate images, but only for ChatGPT Plus subscribers. Since OpenAI discontinued DALL-E 2 in February 2024, the only way to access its most advanced AI image generator, DALL-E 3, through OpenAI's offerings is via its chatbot and ChatGPT Plus subscription.

Also: DALL-E adds new ways to edit and create AI-generated images. Learn how to use it

Microsoft's Copilot offers image generation, which is also powered by DALL-E 3, in its chatbot for free. This is a great alternative if you don't want to shell out the money for ChatGPT Plus.

How does ChatGPT work?

ChatGPT runs on a large language model (LLM) architecture created by OpenAI called the  Generative Pre-trained Transformer  (GPT). Since its launch, the free version of ChatGPT ran on a fine-tuned model in the GPT-3.5 series until May 2024, when the startup upgraded the model to GPT-4o. 

Also:   Here's a deep dive into how ChatGPT works  

With a subscription to ChatGPT Plus , you can access GPT-3.5, GPT-4, or  GPT-4o . Plus, users also have the added perk of priority access to GPT-4o, even when it is at capacity, while free users get booted down to GPT-3.5. 

Generative AI models of this type are trained on vast amounts of information from the internet, including websites, books, news articles, and more.

What does ChatGPT stand for?

As mentioned above, the last three letters in ChatGPT's namesake stand for Generative Pre-trained Transformer (GPT), a family of large language models created by OpenAI that uses deep learning to generate human-like, conversational text. 

Also: What does GPT stand for? Understanding GPT 3.5, GPT 4, GPT-4 Turbo, and more

The "Chat" part of the name is simply a callout to its chatting capabilities. 

Is ChatGPT better than a search engine?

ChatGPT is a language model created to converse with the end user. A search engine indexes web pages on the internet to help users find information. One is not better than the other, as each suit different purposes. 

When searching for as much up-to-date, accurate information as you can access, your best bet is a search engine. It will provide you with pages upon pages of sources you can peruse. 

Also: The best AI search engines of 2024: Google, Perplexity, and more

As of May, the free version of ChatGPT can get responses from both the GPT-4o model and the web. It will only pull its answer from, and ultimately list, a handful of sources, as opposed to showing nearly endless search results.

For example, I used GPT-4o to answer, "What is the weather today in San Francisco?" The response told me it searched four sites and provided links to them. 

If you are looking for a platform that can explain complex topics in an easy-to-understand manner, then ChatGPT might be what you want. If you want the best of both worlds, there are plenty of AI search engines on the market that combine both.

What are ChatGPT's limitations?

Despite its impressive capabilities, ChatGPT still has limitations. Users sometimes need to reword questions multiple times for ChatGPT to understand their intent. A bigger limitation is a lack of quality in responses, which can sometimes be plausible-sounding but are verbose or make no practical sense. 

Instead of asking for clarification on ambiguous questions, the model guesses what your question means, which can lead to poor responses. Generative AI models are also subject to hallucinations, which can result in inaccurate responses.

Does ChatGPT give wrong answers?

As mentioned above, ChatGPT, like all language models, has  limitations  and can give nonsensical answers and incorrect information, so it's important to double-check the data it gives you.

Also: 8 ways to reduce ChatGPT hallucinations

OpenAI recommends that you provide feedback on what ChatGPT generates by using the thumbs-up and thumbs-down buttons to improve its underlying model. You can even join the startup's Bug Bounty program , which offers up to $20,000 for reporting security bugs and safety issues.

Can ChatGPT refuse to answer my prompts?

AI systems like ChatGPT can and do reject  inappropriate requests . The AI assistant can identify inappropriate submissions to prevent the generation of unsafe content.

Also:  6 things ChatGPT can't do (and another 20 it refuses to do)

These submissions include questions that violate someone's rights, are offensive, are discriminatory, or involve illegal activities. The ChatGPT model can also challenge incorrect premises, answer follow-up questions, and even admit mistakes when you point them out.

These guardrails are important. AI models can generate advanced, realistic content that can be exploited by bad actors for harm, such as spreading misinformation about public figures and influencing elections .

Can I chat with ChatGPT?

Although some people use ChatGPT for elaborate functions, such as writing code or even malware , you can use ChatGPT for more mundane activities, such as having a friendly conversation. 

Also:  Do you like asking ChatGPT questions? You could get paid (a lot) for it

Some conversation starters could be as simple as, "I am hungry, what food should I get?" or as elaborate as, "What do you think happens in the afterlife?" Either way, ChatGPT is sure to have an answer for you. 

Is ChatGPT safe?

People are expressing concerns about AI chatbots replacing or atrophying human intelligence. For example, a chatbot can write an article on any topic efficiently (though not necessarily accurately) within seconds, potentially eliminating the need for human writers.

Chatbots can also write an entire essay within seconds, making it easier for students to cheat or avoid learning how to write properly. This even led  some school districts to block access  when ChatGPT initially launched. 

Also:  Generative AI can be the academic assistant an underserved student needs

Now, not only have many of those schools decided to unblock the technology, but some higher education institutions have been  catering their academic offerings  to AI-related coursework. 

Another concern with AI chatbots is the possible spread of misinformation. ChatGPT itself says: "My responses are not intended to be taken as fact, and I always encourage people to verify any information they receive from me or any other source." OpenAI also notes that ChatGPT sometimes writes "plausible-sounding but incorrect or nonsensical answers."

Also:  Microsoft and OpenAI detect and disrupt nation-state cyber threats that use AI, report shows

Lastly, there are ethical concerns regarding the information ChatGPT was trained on, since the startup scraped the internet to train the chatbot. 

It also automatically uses people's interactions with the free version of the chatbot to further train its models, raising privacy concerns. OpenAI lets you turn off training in ChatGPT's settings.

Does ChatGPT plagiarize?

Yes, sort of. OpenAI scraped the internet to train ChatGPT. Therefore, the technology's knowledge is influenced by other people's work. Since there is no guarantee that when OpenAI outputs its answers it is entirely original, the chatbot may regurgitate someone else's work in your answer, which is considered plagiarism. 

Is there a ChatGPT detector?

Concerns about students using AI to cheat mean the need for a ChatGPT text detector is becoming more evident. 

In January 2023, OpenAI released a free tool to target this problem. Unfortunately, OpenAI's "classifier" tool could only correctly identify 26% of AI-written text with a "likely AI-written" designation. Furthermore, it provided false positives 9% of the time, incorrectly identifying human-written work as AI-produced. 

The tool performed so poorly  that, six months after being released, OpenAI it shut down "due to its low rate of accuracy." Despite the tool's failure, the startup claims to be researching more effective techniques for AI text identification.

Also: OpenAI unveils text-to-video model and the results are astonishing

Other AI detectors exist on the market, including GPT-2 Output Detector ,  Writer AI Content Detector , and Content at Scale's AI Content Detection  tool. ZDNET put these tools to the test, and the results were underwhelming: all three were found to be unreliable sources for spotting AI, repeatedly giving false negatives. Here are  ZDNET's full test results .

What are the common signs something was written by ChatGPT?

Although tools aren't sufficient for detecting ChatGPT-generated writing, a  study  shows that humans could detect AI-written text by looking for politeness. The study's results indicate that  ChatGPT's writing style is extremely polite . And unlike humans, it cannot produce responses that include metaphors, irony, or sarcasm.

Will my conversations with ChatGPT be used for training?

One of the major risks when using generative AI models is that they become more intelligent by being trained on user inputs. Therefore, when familiarizing yourself with how to use ChatGPT, you might wonder if your specific conversations will be used for training and, if so, who can view your chats.

Also:  This ChatGPT update fixed one of my biggest productivity issues with the AI chatbot

OpenAI will use your conversations with the free chatbot to automatically training data to refine its models. You can opt out of the startup using your data for model training by clicking on the question mark in the bottom left-hand corner, Settings, and turning off "Improve the model for everyone."

What is GPT-4?

GPT-4 is OpenAI's language model that is much more advanced than its predecessor, GPT-3.5. Users can access GPT-4 by subscribing to ChatGPT Plus for $20 per month or using Microsoft's Copilot.

Also: What does GPT stand for? Understanding GPT-3.5, GPT-4, and more

GPT-4 has advanced intellectual capabilities, meaning it outperforms GPT-3.5 in a series of simulated benchmark exams. The newer model also supposedly produces fewer hallucinations. 

What is GPT-4o?

GPT-4o is OpenAI's latest, fastest, and most advanced flagship model. As the name implies, it has the same intelligence as GPT-4. However, the "o" in the title stands for "omni," referring to its multimodal capabilities, which allow it to understand text, audio, image, and video inputs and output text, audio, and image outputs. 

Also:  6 ways OpenAI just supercharged ChatGPT for free users

The model is 50% cheaper in the API than GPT-4 Turbo while still matching its English and coding capabilities and outperforming it in non-English languages, vision, and audio understanding -- a big win for developers.

Are there alternatives to ChatGPT worth considering?

Although ChatGPT gets the most buzz, other options are just as good -- and might even be better suited to your needs. ZDNET has created a list of the best chatbots, which have all been tested by us and show which tool is best for your requirements. 

Also: 4 things Claude AI can do that ChatGPT can't

Despite ChatGPT's extensive abilities, there are major downsides to the AI chatbot. If you want to try the technology, there are plenty of other options: Copilot , Claude , Perplexity ,  Jasper , and more.  

Is ChatGPT smart enough to pass benchmark exams?

Yes, ChatGPT is capable of passing a series of benchmark exams. A professor at Wharton, the University of Pennsylvania's business school, used ChatGPT to take an MBA exam and the results were quite impressive. 

ChatGPT not only passed the exam, but the tool scored between a B- and a B. The professor, Christian Terwiesch, was impressed at its basic operations management, process analysis questions, and explanations.

OpenAI also tested the chatbot's ability to pass benchmark exams. Although ChatGPT could pass many of these benchmark exams, its scores were usually in the lower percentile. However, with GPT-4, ChatGPT can score much higher.

For example, ChatGPT using GPT-3.5 scored in the lower 10th percentile of a simulated Bar Exam, while GPT-4 scored in the top 10th percentile. You can see more examples from OpenAI in the chart below.

Can ChatGPT be used for job application assistance?

Yes, ChatGPT is a great resource to help with job applications. Undertaking a job search can be tedious and difficult, and ChatGPT can help you lighten the load. ChatGPT can build your resume  and write a cover letter .

Also :  How to use ChatGPT to write an essay

If your application has any written supplements, you can use ChatGPT to help you write those essays or personal statements . 

What are the most common ChatGPT plugins, and how do I use them?

Plugins allowed ChatGPT to connect to third-party applications, including access to real-time information on the web. The plugins expanded ChatGPT's abilities , allowing it to assist with many more activities, such as planning a trip or finding a place to eat. 

Also:  My two favorite ChatGPT Plus features and the remarkable things I can do with them

On March 19, 2024, however, OpenAI stopped allowing users to install new plugins or start new conversations with existing ones. Instead, OpenAI replaced plugins with GPTs , which are easier for developers to build. 

Users can find 3 million ChatGPT chatbots, also known as GPTs, on the GPT store. Unfortunately, there is also a lot of spam in the GPT store.

What is Microsoft's involvement with ChatGPT?

Microsoft was an early investor in OpenAI, the AI startup behind ChatGPT, long before ChatGPT was released to the public. Microsoft's first involvement with OpenAI was in 2019, when the company invested $1 billion, and then another $2 billion in the years after. In January 2023, Microsoft extended its partnership with OpenAI through a multiyear, multi-billion dollar investment .

Also: ChatGPT vs. Copilot: Which AI chatbot is better for you?

 Neither company disclosed the investment value, but unnamed sources told Bloomberg that it could total $10 billion over multiple years. In return, OpenAI's exclusive cloud-computing provider is Microsoft Azure, powering all OpenAI workloads across research, products, and API services.

Microsoft has also used its OpenAI partnership to revamp its Bing search engine and improve its browser. 

On February 7, 2023, Microsoft unveiled a new Bing tool , now known as Copilot, that runs on OpenAI's GPT-4, customized specifically for search.

What does Copilot (formerly Bing Chat) have to do with ChatGPT?

In February 2023,  Microsoft unveiled  a new version of Bing -- and its standout feature was its integration with ChatGPT. When it was announced, Microsoft shared that Bing Chat, now Copilot, was powered by a next-generation version of OpenAI's large language model, making it "more powerful than ChatGPT." Five weeks after the launch, Microsoft revealed that Copilot had been running on GPT-4 before the model had even launched. 

How does Copilot compare to ChatGPT?

Copilot uses OpenAI's GPT-4, which means that since its launch, it has been more efficient and capable than the standard, free version of ChatGPT. At the time, Copilot boasted several other features over ChatGPT, such as access to the internet, knowledge of current information, and footnotes.

In May 2024, however, OpenAI supercharged the free version of its chatbot with GPT-4o. The upgrade gave users GPT-4 level intelligence, the ability to get responses from the web via ChatGPT Browse with Bing, analyze data, chat about photos and documents, use GPTs, access the GPT Store, and Voice Mode. Therefore, after the upgrade, ChatGPT reclaimed its crown as the best AI chatbot. 

What is Gemini and how does it relate to ChatGPT?

Gemini is Google's AI chat service, a rival to ChatGPT. On February 6, 2023, Google introduced its experimental AI chat service, which was then called Google Bard. Over a month after the announcement, Google began rolling out  access to Bard first via a waitlist . Now, it is available to the general public. 

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Chatgpt vs. copilot: which ai chatbot is better for you, what does gpt stand for understanding gpt-3.5, gpt-4, gpt-4o, and more, what is copilot (formerly bing chat) here's everything you need to know.

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ChatGPT can write your essays, but should you use it?

Published on March 12, 2023

With the rising popularity of online writing tools, you may be wondering: can I use ChatGPT to write my essays? If you’ve never used the chatbot, it can generate several paragraphs of text within a matter of seconds. That’s certainly faster than any human can type, but there are many limitations to using it too. Here’s everything you need to know about how ChatGPT fares at writing essays and whether you should use it.

ChatGPT can write essays, but it isn't always the best choice as it suffers from a few technical limitations. Additionally, you may want to avoid using it if your work will be graded or judged in any capacity.

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Can ChatGPT write student essays?

Can professors tell if you use chatgpt.

• Should you use ChatGPT to write an essay?

How to use ChatGPT to write an essay

Yes, ChatGPT can write you an essay as it has been trained on a wide range of text. However, there are some downsides to using it for that purpose. For one, it lacks logical reasoning and critical thinking, qualities that are critical to writing an essay.

Generally speaking, writing an essay involves researching the topic, structuring your thoughts in a way that makes logical sense, and writing it in a convincing manner. ChatGPT can help you with each of these stages separately. However, it cannot fully replace a human presenting their own knowledge and opinion in an essay.

As for the actual writing part, ChatGPT can indeed generate an essay that looks and sounds like a human wrote it. However, the output is usually verbose and a bit simplistic, making it stand out in a professional setting. There are ways around this, however, as we’ll discuss in a later section. Some may also argue it’s unethical to use AI-generated text in essays as it doesn’t represent your views and thoughts.

So can you use ChatGPT to write essays responsibly? Absolutely — you can use it to detect spelling and grammatical mistakes in your own text. Likewise, ChatGPT can help with brainstorming new ideas or finding key points and angles.

For example, I asked ChatGPT to provide some potential angles on an essay titled “The negative effects of social media on society”. It told me that I could discuss how social media impacts mental health, aids the spread of misinformation and enables echo chambers. Finally, I requested ChatGPT to provide an outline that takes those points into consideration, which gave me a starting point for the essay.

Yes, teachers and professors now have access to online tools that can detect AI-generated text. Chatbots like ChatGPT work by using a machine learning-based model to predict future words using statistical probability. Humans, on the other hand, tend to piece together words much more randomly. So with a little bit of knowledge about how ChatGPT works, it’s not hard to weed out AI-generated text.

OpenAI, the company behind ChatGPT, already has an AI classifier that detects whether or not a certain piece of text was written by a computer. Likewise, GPTZero provides professors with plagiarism scores for text. It also highlights sentences that it suspects have been written by an AI. These tools become increasingly accurate as the length of the text increases, so it’s harder to evade detection if you’re using ChatGPT to write longer essays.

Should I use ChatGPT to write an essay?

Generally speaking, you should not use ChatGPT to write an essay for school for the simple reason that you cannot pass off someone else’s work as yours. Moreover, many educational institutions have strict policies against plagiarism. Using ChatGPT to write an essay may be viewed as a breach of academic integrity. Some boards, including New York City’s public schools, have explicitly banned ChatGPT on student networks and devices for this very reason.

If you writing a research paper, you’ll also need to properly cite your sources. And as you may already know, ChatGPT cannot provide citations or links to external sources as it doesn’t have access to the internet. In fact, that’s one of the major differences between ChatGPT and Bing Chat — the latter provides sources for factual statements. Unfortunately, the latter’s Creative only includes a handful of sources — not enough to use in a professional piece of literature.

Without citations, you also cannot guarantee the accuracy of ChatGPT’s responses. That’s likely not a problem if you’re writing an essay on a well-known concept. However, the chatbot can quickly go off the rails when it’s writing about obscure topics.

ChatGPT’s underlying GPT-3 language model was only trained on a limited number of text samples. That likely didn’t include organic chemistry, regional laws, and philosophical debates to name a few. In other words, it might not fare well in a liberal arts setting. ChatGPT will rarely turn you down if you force it to write about something it doesn’t know much about, but it will likely respond with fictional or made-up information.

If you want ChatGPT to write a high-quality essay, you’ll need to provide a clear input prompt. If you provide a single keyword, like “global warming”, you’ll get a generic output. To avoid this, you can offer more specific terms and topics that you need to be included in your essay. For example, you could use the prompt “Write an essay on global warming and its effects on Australian wildfires” to add some context.

In case you’ve never used ChatGPT before, here’s a step-by-step guide on how to use it:

• Go to the ChatGPT website .
• Click Sign up and create a new account with your email address.
• Once logged in, you’ll see a text box at the bottom of the page. This is where you enter your prompts.
• From this point, you can ask ChatGPT to write an essay on just about any subject you can think of. Remember to be as specific as possible. If you need to include certain ideas, specify them in the input prompt.

With longer essays, you might run into ChatGPT’s hidden character limit before it can generate the whole text. If that happens, simply ask the chatbot to continue from where it left off. Alternatively, you can ask ChatGPT to write an outline for your essay before generating it one section at a time.

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How well can ChatGPT-4 write APA-style psychology papers?

I n a recent study published in Contemporary School Psychology , researchers have put the latest AI technology to the test in academic writing, revealing both its potential and limitations.

Artificial Intelligence (AI) has been making waves in various fields, and academia is no exception. Tools powered by AI such as Grammarly and Turnitin have become staples for students and researchers, helping to refine writing by checking for grammar and ensuring originality of written work, respectively. However the capabilities of these tools, particularly in autonomously generating coherent, reliable, and scientifically accurate content, remain under scrutiny.

Led by Adam B Lockwood and Joshua Castleberry from Kent State University, the study aimed to evaluate Generative Pre-trained Transformer 4 (GPT-4), a popular advanced AI language model developed by OpenAI, in writing American Psychological Association (APA)-style psychology papers.

While recent advancements in technology have enabled these sophisticated language models to produce what resembles human-written information, the researchers were curious to assess performance of GPT-4 in three areas: substantiation of claims, factual accuracy, and referencing.

Lockwood and Castleberry entered the following prompt into GPT-4, “Write a 2500-word manuscript on the ethical dilemmas of using ChatGPT to write for psychological and educational reports. Address how APA and NASP guidelines, as well as HIPAA and FERPA laws pertain to these ethical dilemmas. Provide recommendations for overcoming these limitations. Provide citations and references in APA formatting.”

GPT-4 provided a 1814-word document, but after removal of the title, abstract, keywords, headings, and references, a 1043-word paper remained which comprised 45 sentences.

Out of 42 sentences should have been supported by an in-text citation, only 17 (40.5%) were correctly substantiated. The remaining 25 sentences did not have a citation (40%), possessed a citation that did not exist (40%), or were supported by a citation that was irrelevant to the claim being made in the paper (20%).

To check scientific accuracy of the 25 unsubstantiated claims, the researchers were fully able to confirm the accuracy of 14 using other sources, and partially confirm accuracy of 3 more sentences (i.e. the other sources did not explicitly state the claim, but it could be inferred). Thus in total, 31 (73.8%) of sentences were verified.

Finally, 16 references were provided at the end of the paper – 12 referenced real websites; errors were found on 5 of these (1 listed incorrect authors, 1 failed to provide a Digital Object Identifier (DOI) and 3 provided incorrect links). With the remaining 4 references, 1 was to the wrong article and the 3 remaining links were broken.

Lockwood and Castleberry concluded, “While GPT-4 demonstrated some capability in generating factually accurate information and producing APA-style citations, there were notable limitations. The substantial number of unsubstantiated claims and the presence of errors in citations and referencing indicate the need for further refinement and that we cannot blindly rely on GPT-4 to write papers.”

Some limitations should be noted. The study’s focus on a single paper may not be representative of GPT-4’s overall performance, and the use of specific prompts may have biased GPT-4’s output, suggesting that further research is needed to fully understand its capabilities.

The study, “ Examining the Capabilities of GPT-4 to Write an APA-Style School Psychology Paper ,” was authored by Adam B. Lockwood and Joshua Castleberry.

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• How to Write an Essay with ChatGPT | Tips & Examples

How to Write an Essay with ChatGPT | Tips & Examples

Published on 26 June 2023 by Koen Driessen .

Passing off AI-generated text as your own work is widely considered plagiarism. However, when used correctly, generative AI tools like ChatGPT can legitimately help guide your writing process.

These tools are especially helpful in the preparation and revision stages of your essay writing.

You can use ChatGPT to:

• Write a research question
• Develop an outline
• Find relevant source information
• Summarise or paraphrase text
• Get feedback

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Writing a research question, developing an outline, finding source recommendations, summarising/paraphrasing text, getting feedback, other interesting articles, frequently asked questions.

You can use ChatGPT to brainstorm potential research questions or to narrow down your thesis statement . Begin by inputting a description of the research topic or assigned question. Then include a prompt like “Write 3 possible research questions on this topic”.

You can make the prompt as specific as you like. For example, you can include the writing level (e.g., high school essay, college essay), perspective (e.g., first person) and the type of essay you intend to write (e.g., argumentative , descriptive , expository , or narrative ).

You can also mention any facts or viewpoints you’ve gathered that should be incorporated into the output.

If the output doesn’t suit your topic, you can click “Regenerate response” to have the tool generate a new response. You can do this as many times as you like, and you can try making your prompt more specific if you struggle to get the results you want.

Example: Using ChatGPT to write a research question

• Generate three possible research questions for an argumentative high school essay on the following topic: “The long-term impact of the Covid-19 pandemic.”
• To what extent has the Covid-19 pandemic exacerbated existing social inequalities and what measures can be taken to address these disparities in the long term?
• How has the Covid-19 pandemic transformed education systems, and what are the potential long-term implications for students’ learning outcomes and educational equity?
• What lessons can be learned from the Covid-19 pandemic to enhance global preparedness and response to future public health crises, and how can these lessons be effectively implemented in the long term?
• Based on the second question, develop three further research questions with a specific focus on distance learning.
• What are the long-term effects of widespread adoption of distance learning during the Covid-19 pandemic on students’ academic performance, motivation, and overall educational outcomes?
• How has the shift to distance learning impacted the social and emotional well-being of students, and what strategies can be implemented to address any negative consequences in the long term?
• What are the key factors that contribute to the success of distance learning programs, and how can educational institutions and policymakers ensure equitable access to quality education in the long term, especially for marginalized and underserved student populations?

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Once you’ve decided on a research question, you can use ChatGPT to develop an essay outline . This can help keep you on track by giving you a clear idea of what topics you want to discuss and in what order.

Do this by prompting ChatGPT to create an outline for a specific research question, mentioning any topics or points you want to discuss. You can also mention the writing level and the intended length of your essay so that the tool generates an appropriate outline.

You can then refine this by further prompting ChatGPT or editing the outline manually until it meets your requirements.

Examples: Using ChatGPT to generate an essay outline

• Develop an outline for an argumentative high school essay with the following research question: “What are the long-term effects of widespread adoption of distance learning during the Covid-19 pandemic on students’ academic performance and overall educational outcomes?”The essay will be about 4 pages long.
• Background information on the Covid-19 pandemic and the shift to distance learning
• Thesis statement: The widespread adoption of distance learning during the Covid-19 pandemic has had both positive and negative long-term effects on students’ academic performance and overall educational outcomes.
• Increased flexibility and personalized learning opportunities
• Access to a wider range of resources and educational materials
• Development of self-directed learning skills
• Critiques and limitations of previous studies
• Lack of face-to-face interaction and reduced social engagement
• Increased potential for distractions and lack of structure
• Technological barriers and unequal access to resources
• Examination of studies and data on academic achievement during distance learning
• Analysis of long-term effects on educational attainment and future opportunities
• Discussion of potential implications for college admissions and career readiness
• Strategies for promoting student engagement and motivation in distance learning
• Importance of teacher-student communication and support
• Addressing technological disparities and ensuring equitable access to resources
• Recap of the main points discussed
• Emphasize the need for further research and long-term planning to optimize distance learning experiences
• Restate the thesis and provide a final thought on the potential long-term effects of distance learning on students’ academic performance and overall educational outcomes

Once you know the scope of your essay, you can find relevant primary and secondary sources to support your argument.

However, we don’t recommend prompting ChatGPT to generate a list of sources as it occasionally makes mistakes (like listing nonexistent sources). Instead, it’s a good idea to use ChatGPT to get suggestions for the types of sources relevant to your essay and track them down using a credible research database or your institution’s library.

When you have found relevant sources, use a specialised tool like the Scribbr Citation Generator to cite them in your essay.

Example: Using ChatGPT to find sources

• What types of sources can I use to write an essay on the following research question?”What are the long-term effects of widespread adoption of distance learning during the Covid-19 pandemic on students’ academic performance and overall educational outcomes?”
• Academic Journals and Research Articles: Look for scholarly articles and research studies published in peer-reviewed academic journals. These sources often provide in-depth analysis, empirical evidence, and statistical data on the long-term effects of distance learning.
• Educational and Government Reports: Reports published by educational institutions, government agencies, or educational organizations can offer valuable insights into the impact of distance learning on academic performance and educational outcomes. These reports may include surveys, case studies, and data analysis specific to the Covid-19 pandemic and distance learning.
• Official Websites and Publications: Explore the official websites of educational institutions, education ministries, or educational technology companies. They often publish articles, white papers, or research findings related to distance learning and its effects on students’ academic performance.
• Expert Interviews or Opinion Pieces: Seek out interviews or opinion pieces from experts in the field of education, distance learning, or pedagogy. These sources can provide valuable perspectives and insights on the long-term effects of distance learning on students’ educational outcomes.
• Online Databases and Digital Libraries: Utilize online databases and digital libraries such as JSTOR, Google Scholar, or academic databases provided by your educational institution. These platforms offer a wide range of scholarly articles, research papers, and publications that can support your arguments.
• Surveys and Studies Conducted by Educational Institutions: Some schools or universities may have conducted their own surveys or studies to evaluate the impact of distance learning on students. Check if your educational institution has published any research findings or survey results that are relevant to your topic.

During your writing process, you can use ChatGPT as a summarising tool to condense text to its essential ideas or as a paraphraser to rephrase text in clear, accessible language. Using ChatGPT in these ways can help you to understand complex material, express your own ideas more clearly, and avoid repetition.

Simply input the relevant text and prompt the tool to summarise or paraphrase it. Alternatively, you can use Scribbr’s free text summariser and Scribbr’s free paraphrasing tool , which are specifically designed for these purposes.

Example: Using ChatGPT to summarise/paraphrase

• Paraphrase the following text using clear language:”Engaging in an extensive examination of the intricate interplay between remote instructional methods and academic achievement necessitates consideration of diverse factors, including the pedagogical efficacy of virtual platforms, the socioemotional ramifications of reduced face-to-face interactions, the equitable accessibility of technological resources, and the potential long-lasting implications for students’ educational trajectories and future opportunities.”
• To thoroughly explore the connection between remote teaching methods and academic success, it is crucial to take into account various factors. These factors include evaluating how well virtual platforms support effective teaching, understanding the impact of limited in-person interactions on students’ emotional well-being, ensuring fair access to technology resources, and recognizing the potential long-term effects on students’ educational paths and future prospects.

Once you’ve written your essay, you can prompt ChatGPT to provide feedback and recommend improvements.

You can indicate how the tool should provide feedback (e.g., “Act like a university professor examining papers”) and include the specific points you want to receive feedback on (e.g., consistency of tone, clarity of argument, appropriateness of evidence).

While this is not an adequate substitute for an experienced academic supervisor, it can help you with quick preliminary feedback.

You can also use ChatGPT to check grammar mistakes. However, ChatGPT sometimes misses errors and on rare occasions may even introduce new grammatical mistakes. We suggest using a tool like Scribbr’s free grammar checker , which is designed specifically for this purpose. Or, for more in-depth feedback, try Scribbr’s proofreading and editing service .

Example: Using ChatGPT for feedback

• Feedback the above text with regard to consistency of tone, clarity of argument, appropriateness of evidence, and coherence of structure.
• Clarity of Argument: The argument could be further clarified by explicitly connecting the discussed factors to their impact on academic performance. For example, explicitly stating how the proficiency of virtual platforms and equitable access to technology affect academic performance would strengthen the clarity of the argument.
• Appropriateness of Evidence: The evidence provided is generally appropriate and relevant. To enhance the strength of the evidence, consider incorporating specific examples, research studies, or statistics that directly support the discussed factors and their impact on academic performance. This would provide stronger evidence for the claims made.
• Coherence of Structure: The structure of the text is coherent, with a clear introduction, body paragraphs addressing different factors, and a conclusion. To improve coherence, consider adding transitional phrases or sentences at the beginning or end of paragraphs to facilitate the smooth flow of ideas between paragraphs. This would enhance the overall structure and make it easier for the reader to follow the argument.

Overall, the text demonstrates a consistent tone, a clear argument, appropriate evidence, and a coherent structure. Clarifying the argument by explicitly connecting the factors to their impact, incorporating stronger evidence, and adding transitional phrases for better coherence would further enhance the text’s effectiveness. Note Passing off AI-generated text as your own work is generally considered plagiarism (or at least academic dishonesty ) and may result in an automatic fail and other negative consequences . AI detectors may be used to detect this offence.

If you want more tips on using AI tools , understanding plagiarism , and citing sources , make sure to check out some of our other articles with explanations, examples, and formats.

• Citing ChatGPT
• Best grammar checker
• Best paraphrasing tool
• ChatGPT in your studies
• Is ChatGPT trustworthy?
• Types of plagiarism
• Self-plagiarism
• Avoiding plagiarism
• Academic integrity
• Best plagiarism checker

Citing sources

• Citation styles
• In-text citation
• Citation examples
• Annotated bibliography

Yes, you can use ChatGPT to summarise text . This can help you understand complex information more easily, summarise the central argument of your own paper, or clarify your research question.

You can also use Scribbr’s free text summariser , which is designed specifically for this purpose.

Yes, you can use ChatGPT to paraphrase text to help you express your ideas more clearly, explore different ways of phrasing your arguments, and avoid repetition.

However, it’s not specifically designed for this purpose. We recommend using a specialised tool like Scribbr’s free paraphrasing tool , which will provide a smoother user experience.

Using AI writing tools (like ChatGPT ) to write your essay is usually considered plagiarism and may result in penalisation, unless it is allowed by your university. Text generated by AI tools is based on existing texts and therefore cannot provide unique insights. Furthermore, these outputs sometimes contain factual inaccuracies or grammar mistakes.

However, AI writing tools can be used effectively as a source of feedback and inspiration for your writing (e.g., to generate research questions ). Other AI tools, like grammar checkers, can help identify and eliminate grammar and punctuation mistakes to enhance your writing.

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the ‘Cite this Scribbr article’ button to automatically add the citation to our free Reference Generator.

Driessen, K. (2023, June 26). How to Write an Essay with ChatGPT | Tips & Examples. Scribbr. Retrieved 3 June 2024, from https://www.scribbr.co.uk/using-ai-tools/chatgpt-essays/

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China’s answer to OpenAI is a Xi Jinping chatbot

Good morning. Clay Chandler here, writing from Hong Kong. Last week I noted that the world’s two big AI superpowers seem to be running the global AI arms race in opposite directions . U.S. lawmakers have balked at imposing even the most minimal restrictions on fast-moving new technologies. China, meanwhile, has established a dense regulatory framework for AI designed to eliminate all possible risks. 

Those differences become even more starkly apparent this week.  

In the U.S., of course, everyone is aghast at Scarlett Johansson’s allegation that OpenAI CEO Sam Altman used a voice “eerily” similar to hers  for Sky, the chatbot mode featured in OpenAI’s latest ChatGPT upgrade. Few are buying Altman’s insistence that he “never intended” the chatbot to resemble her. The details of the case—that Altman approached Johansson with a request to license her voice, that she declined, that he persisted using a Johansson-like voice anyway—have fanned Hollywood’s worst fears about arrogant tech bros using AI to rip off creators.  

In China, the week’s big AI story is that the nation’s internet regulator is rolling out a chatbot of its own, this one based on the thoughts of President Xi Jinping. The Financial Times reports that a research center reporting to the powerful Cyberspace Administration of China is developing a large language model trained on the Chinese leaders’ political philosophy, known as “Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era.” The Wall Street Journal says the chatbot will also be trained on six professional databases about technology.  

It’s unclear whether the CAC’s chatbot—which both papers have dubbed “Chat Xi PT”—is meant to be used, or even whether it will be released to the public. But it’s not difficult to imagine how such a model might be employed as a tool for enforcing ideological orthodoxy.  

Neither of these approaches to governing AI seems sustainable to me. At some point, U.S. voters are going to stop swallowing AI developers’ claims that the only way the U.S. can hope to compete with China, save democracy, and preserve the American way of life is to let giant tech companies use AI in whatever way they want. And surely Chinese officials eventually will figure out that too much state control over AI will slow the pace of innovation and leave China less secure not more. Or will they? For now, the technology keeps getting smarter faster than the people creating and using it.   

More news below

Clay Chandler [email protected] Follow on LinkedIn

Saudi Aramco, the world’s largest oil company, is aiming for net-zero emissions while continuing to pump fossil fuels. Ahmad Al-Khowaiter, executive vice president for technology and innovation, says Aramco devotes 60% of its $800 million R&D budget to “sustainability.” But the company isn’t going to give up oil any time soon: “We need all sources of energy to meet the growth in demand, which is just tremendous in the developing world,” he says. Fortune

An even bigger Boeing cash burn

Boeing CFO Brian West warned investors that the planemaker is unlikely to generate any cash this year and will burn billions of dollars more than anticipated. The company is producing planes more slowly as it tries to uncover safety and production issues. Boeing shares fell over 7% on Thursday. Wall Street Journal

Back to the office

More banks are ordering more of their U.S.-based staff to be in the office five days a week, due to new regulations that make remote work more difficult. HSBC, Citigroup and Barclays are asking remote workers to come in for the whole work week. Banking executives say that ensuring off-site workers comply with regulations will be too difficult and too costly as the industry’s watchdog returns to pre-COVID norms for monitoring staff and inspecting workplaces. Bloomberg

AROUND THE WATERCOOLER

Ralph Lauren’s longtime CFO on preparing her successor—and what’s next after her COO tenure by Sheryl Estrada

5 telltale signs a CEO is a narcissist. Study finds LinkedIn profiles offer clues by Lila Maclellan 

OpenAI’s week of chaos has reopened a festering wound at the $80 billion startup that was supposed to have healed by Sharon Goldman

Book excerpt: Gen Z ignores brand messaging by default. Here’s how to win their attention—and loyalty by Mitch Duckler

More than two-thirds of bosses are ‘accidental managers’—and their requests for proper training are being ignored by Eleanor Pringle

Venice’s ‘tourist tax’ is being labeled a ‘miserable failure’—and the project might not break even this year by Ryan Hogg

T his edition of CEO Daily was curated by Nicholas Gordon. 

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Intel comes out swinging as AI PC market explodes

E*Trade can boot Roaring Kitty—but someone will just take his place

How AI and high interest rates shaped this year’s Fortune 500

The share of Fortune 500 businesses run by women can’t seem to budge beyond 10%

96% of executives are desperate for workers to use AI, but there are a few key obstacles in the way

Cisco leaps forward in Fortune 500—’I see us clearly as a leader in AI,’ CFO says 

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Media mogul Rupert Murdoch, 93, ties the knot for the 5th time, marrying the ex-wife of a billionaire energy investor and Russian politician

Rachel Romer built a $4.4 billion education unicorn by 34—then she had a stroke. Now her CEO successor reckons with Guild’s new chapter

Elon Musk accused of selling $7.5 billion of Tesla stock before releasing disappointing sales data that plunged the share price to two-year low

Managers are puzzled by Gen Zers as giving feedback becomes a lost art in the era of the ‘coddled mind’

Traders who scooped up Warren Buffett’s Berkshire Hathaway shares at a massive $620,000 discount during ‘glitch’ will have their deals canceled by the NYSE

Home prices could start dropping this summer, marking the ‘first domino to fall’ on the way to a weaker economy, strategist says