Comprehensive Editorial Protocols for Detecting Ai-Generated Manuscripts in Scientific Journals
The rapid proliferation of Large Language Models (LLMs) such as ChatGPT, Claude, Gemini, and others has introduced an unprecedented challenge to the integrity of scientific publishing. While AI tools can legitimately assist authors in improving language clarity, organizing ideas, or checking grammar, the submission of manuscripts that are substantially or entirely drafted by AI — without meaningful intellectual contribution from the listed authors — violates the fundamental principles of authorship, accountability, and research integrity.
Authors
- Dong-Gill Kim
Institutions
- Hawassa University (ET)
- Kyung Hee University (KR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-04-07
- DOI
- https://doi.org/10.5281/zenodo.19447993
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00