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When and how to disclose AI use in academic publishing: AMEE Guide No.192
J Cleland1,2, E Driessen3, K Masters4
1Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Researchers need clear guidelines for disclosing Generative Artificial Intelligence (GenAI) use in scholarly writing. This guide offers a framework for ethical GenAI reporting to maintain research integrity and transparency in academic publishing.
Area of Science:
- Health professions education research
- Academic publishing
- Scholarly communication
Background:
- Generative Artificial Intelligence (GenAI) tools are increasingly used in research and academic writing.
- Undisclosed GenAI use poses risks to research integrity, ethics, and transparency.
- There is a need for practical guidance on disclosing GenAI in scholarly publications.
Purpose of the Study:
- To provide researchers with practical guidance on disclosing GenAI use in scholarly writing.
- To propose a framework for ethical GenAI use and reporting in health professions education research.
- To address transparency in research production, internal and external disclosure, and peer review.
Main Methods:
- Exploration of key aspects of responsible GenAI use in publishing (authorship, verification, plagiarism, bias, data privacy, journal requirements).
- Discussion of internal and external disclosure of GenAI use.
- Highlighting journal-specific guidance and principles for effective disclosure.
- Consideration of GenAI use and disclosure in peer review.
Main Results:
- A framework for ethical GenAI use and reporting is proposed.
- Emphasis on candid descriptions of how GenAI shaped research and writing processes.
- Awareness of journal-specific guidance for disclosure is crucial.
Conclusions:
- Transparency in GenAI use is essential for maintaining research integrity.
- Scholars must provide clear descriptions of GenAI's role in their work.
- Further research is needed on evolving AI use and disclosure in publishing.
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