ChatGPT and Publication Ethics
Abstract
Academic publishing is crucial for scientific communication, is governed by accepted ethical norms, and underpins the collective literature on basic science, and technological and medical principles and advances. In November 2022, the public and professional global communities, including the scientific community, witnessed the release of ChatGPT by OpenAI in San Francisco, California, USA. Excluding its public appeal and entertaining aspects but considering its diverse potential applications, some ethical concerns must be considered before establishing guidelines on using and including ChatGPT or similar platforms in scientific publishing. Some academic publishers and preprints have accepted manuscripts with ChatGPT listed as a "co-author". Though excluding such platforms from scientific publishing may not be practicable with time, establishing ethical principles is essential before ChatGPT could become a "co-author" in any scientific, published manuscript.
Integrity signals
Registry
Cites
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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?
Current technology does not allow human readers or anti-plagiarism software to distinguish between AI-generated and human-authored content.
“These concerns are particularly relevant because current technology does not allow human readers or anti-plagiarism software to distinguish between AIgenerated and human-authored content Rahimi & Abadi (2023).”
From Decoding ChatGPT: A taxonomy of existing research, current challenges, and possible future directions (2023) · cites this paper as Rahimi & Abadi (2023)
Cites
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Flagged first, then by citations
Cited by
Sorted by citations
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“One of the most cutting-edge AI tools to date is a chat generative pre-trained transformer (ChatGPT), which has rapidly attracted over 100 million global users after a few months of its public launch in November 2022 (Rahimi & Abadi, 2023).”
BackgroundResearch integrity in the era of artificial intelligence: Challenges and responses
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AI-driven abstract generating: evaluating LLMs with a tailored prompt under the PRISMA-A framework
Demi̇r, G. B., Gökmen, Ş., Süküt, Y., Topsakal, K. G., & Görgülü, S. (2025) · BMC Oral Health · doi:10.1186/s12903-025-06982-4 · Cited by 2 · see citing works
Developing the HAKI model as a conceptual framework for AI-assisted academic research
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“This bias feeds directly into intellectual property disputes, as algorithms trained on uncredited human text blur authorship boundaries and raise questions about ownership [65].”
- Authors
- Rahimi, F., & Talebi Bezmin Abadi, A.
- Affiliations
- Australian National University (AU)
- Venue
- Archives of Medical Research
- Publisher
- Elsevier BV
- Published
- 2023-04
- Volume
- 54
- Issue
- 3
- Pages
- 272-274
- ISSN
- 0066-6769 (ISSN-L)
- 0188-4409
- OpenAlex
- W4361004509
- Cited by
- 158
- References
- 8
- Citations by year
- 2026: 9 · 2025: 20 · 2024: 82 · 2023: 47
- FWCI
- 39.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of Medical Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Publishing and Scholarly Communication
- Keywords
- ChatGPT, publication ethics, scholarly publishing, AI co-authorship, large language models, AI-generated text, preprints, authorship criteria
- MeSH terms
- Publishing, Moral Obligations
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