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The Blurred Thresholds of AI-Use Disclosure: Health Professions Education Journal Editors’ Expectations of Necessity and Sufficiency Cover

The Blurred Thresholds of AI-Use Disclosure: Health Professions Education Journal Editors’ Expectations of Necessity and Sufficiency

Open Access
|Dec 2025

Figures & Tables

Table 1

Participant Demographics.

DEMOGRAPHIC# (%) PARTICIPANTS N = 18
Journal type
Health professions education journal14 (77)
General medical journal4 (22)
Role
Editor in Chief9 (50)
Deputy/Associate editor9 (50)
Participant Country
Australia1 (5)
Canada4 (22)
Netherlands1 (5)
Oman1 (5)
Singapore1 (5)
UK3 (5)
USA7 (38)
Gender
Female10 (55)
Male8 (44)
Years of editor experience
<51 (5)
>1017 (94)
Table 2

AI-Use Disclosure Guidance for HPE Editors & Journals.

Understand how your journal’s online architecture shapes AI-use disclosure
Review online submission architecture to understand how disclosure is prompted in your system: Is refinement required given speed of change?
Understand how disclosures populate from the online system into the editorial process: Who sees disclosures and where in the process?
Provide clear, detailed guidance about what your journal expects in AI-use disclosure
Review guidance for authors: Is it sufficient? Does it reference principles such as reproducibility in problematic ways?
Provide explicit examples to show authors where your journal sets the necessity & sufficiency thresholds: Don’t over simplify – how should authors handle blurry situations?
Remind authors to attest to accountability regardless of where the disclosure appears in the manuscript.
Educate authors, editorial team and peer reviewers to cultivate safety
Educate the editorial team to ensure the co-construction philosophy is universally understood.
Make explicit to authors that disclosure is non-punitive.
Provide guidance to peer reviewers regarding AI-use disclosure: What is their role?
Table 3

AI-Use Disclosure Guidance for HPE Authors based on Editor Expectations.

DISCLOSURE BASICSCOMPLEXITIES OF SUFFICIENCY AND NECESSITY
State how you used AI.
Example: “We used ChatGPT 4o (May 2024 version) to shorten our abstract and strengthen our study limitations.”
Distinguish between technical & intellectual use.
Intellectual uses are of more concern to editors and require more explanation. Example: “We used ChatGPT 4o (May 2024 version) to help brainstorm counterarguments in the Discussion. We prompted counterarguments by discipline (e.g., psychology) and research paradigm (e.g., positivism).”
Be specific: tool, tasks, location.
Include at minimum: the tool name, version or date (if known), the tasks performed, and the manuscript section(s) affected.
Be strategic about the level of detail.
More detail is not always better or feasible. Scale down details for technical use (e.g., editing grammar); scale up for more intellectual use (e.g., creating interview prompts). Editors may request more details as the manuscript nears acceptance.
Add a responsibility statement.
Attest that you are accountable for the content. Example: “All AI-assisted content was reviewed and verified by the authors, who take full responsibility for its accuracy and integrity.”
Indicate how you verified content.
Verification is a process, not a promise. Be transparent about how you verified. Example: “We verified accuracy of AI-produced text by conducting our own PubMed search and reviewing key sources. Where we found discrepancies or oversimplifications, we edited the AI text as needed.” Consider what aspects of AI-use might not be transparent or verifiable.
Put the disclosure in your manuscript.
Editors prefer this in the Methods or other section as relevant, rather than in Acknowledgements.
Aim for credibility, not necessarily reproducibility.
Share your thinking process; acknowledge inconsistencies in AI output; describe how you iterated prompts to achieve better results. If you complete a checkbox or text box during online submission, ensure coherence with manuscript disclosure text.
When in doubt, disclose.
If the AI use shaped ideas, text structure, or scholarly content—not just grammar—editors generally expect disclosure.
Don’t avoid disclosure in fear of punitive action.
Journals and authors are co-constructing the norms of disclosure, learning together in a fast-changing situation as AI technology and literacy develop. Disclose in this spirit. Provide detail; editors can request unnecessary details be removed upon acceptance.
DOI: https://doi.org/10.5334/pme.2326 | Journal eISSN: 2212-277X
Language: English
Submitted on: Dec 4, 2025
Accepted on: Dec 9, 2025
Published on: Dec 18, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Lorelei Lingard, Erik Driessen, Kevin Oswald, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.