The Impact of Generative Artificial Intelligence on Research Integrity in Scholarly Publishing
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Generative AI pressures research integrity norms in scholarly publishing ecosystems.
“Within publishing integrity itself, Chauhan and Currie analyze how generative AI pressures research integrity norms in scholarly publishing ecosystems.”
From Leveraging Artificial Intelligence in Scholarly Publishing (2025) · cites this paper as [11]
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- Authors
- Chauhan, C., & Currie, G.
- Affiliations
- American Society for Investigative Pathology (US)
- eLife Sciences Publications (GB)
- Corresponding author
- Currie, George
- Venue
- The American Journal of Pathology
- Publisher
- Elsevier BV
- Published
- 2024-12
- Volume
- 194
- Issue
- 12
- Pages
- 2234-2238
- ISSN
- 0002-9440 (ISSN-L)
- OpenAlex
- W4403325438
- Cited by
- 22
- References
- 25
- Citations by year
- 2026: 14 · 2025: 8
- FWCI
- 9.14
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- American Journal Of Pathology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- generative AI, research integrity, scholarly publishing, large language models, ChatGPT, data fabrication, science communication, research ethics
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