Uses and Misuses of ChatGPT by Academic Community: An Overview and Guidelines
Open accessAbstract
The field of ethics in information technology has become increasingly important in recent years, particularly with the rapid development of AI technology such as ChatGPT, an artificial intelligence-based language model developed by OpenAI which processes and generates text in response to input from users. This paper provides an overview of the academic and research-related uses and misuses of ChatGPT. Particularly, the paper discusses the potential benefits and risks associated with the use of ChatGPT by the academic community. The paper further identifies potential ethical concerns related to issues such as authorship, accountability, privacy, transparency, disclosure, credibility and integrity of scientific inquiry - and it provides some guidelines to authors, editors, and publishers to navigate these challenges.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
ChatGPT can assist in refining written work by providing suggestions for sentence structure, word choice, and grammar.
“ChatGPT can assists in refining their written work by providing suggestions for sentence structure, word choice, and grammar (Abbas, 2023; Dwivedi et al., 2023).”
From Is it harmful or helpful? Examining the causes and consequences of generative AI usage among university students (2024) · cites this paper as Abbas, 2023
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 15 · Cited by 13
- Authors
- Abbas, M.
- Affiliations
- National University of Computer and Emerging Sciences (PK)
- Corresponding author
- Abbas, Muhammad
- ORCID
- Abbas, Muhammad
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2023
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W4367152887
- Cited by
- 13
- References
- 15
- Citations by year
- 2025: 7 · 2024: 5 · 2023: 1
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (acceptedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Keywords
- ChatGPT, large language models, academic use of AI, AI ethics, authorship, accountability, privacy, transparency, disclosure, scientific integrity, research misconduct, author guidelines, journal editorial policy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review