AI In Scientific Publishing: Uses and Guidance for Authors, Reviewers, and Editors (Webinar)-AI In Scientific Publishing: Uses and Guidance for Authors, Reviewers, and Editors Recording

AI In Scientific Publishing: Uses and Guidance for Authors, Reviewers, and Editors Recording

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Video Summary

The webinar, presented by Dr. Ellen Fox for Peer Review Week, focused on the responsible and ethical use of artificial intelligence in scientific publishing. Fox explained that AI tools are increasingly used by authors, reviewers, editors, and publishers, but they raise important concerns about transparency, accountability, confidentiality, and trust.<br /><br />For authors, AI may be appropriate for literature searching, note-taking, language editing, formatting, accessibility support, and some coding or statistical assistance, but it should not generate research content, data interpretations, conclusions, or fabricated citations. Unpublished manuscripts should not be uploaded to public AI tools. Any significant AI use should be disclosed in the cover letter, methods, or acknowledgements.<br /><br />For reviewers, AI may help summarize or organize a manuscript, especially in closed or secure systems, but it must not be used to write reviews or make judgments, since peer review is confidential and expert-based.<br /><br />For editors and publishers, AI can support manuscript screening, plagiarism and image checks, reviewer matching, and integrity monitoring, but final decisions must remain human-led.<br /><br />Fox emphasized that policies are evolving quickly, disclosure strengthens trust, and humans remain responsible at every stage of scholarly communication.

Keywords

artificial intelligence

scientific publishing

peer review

research ethics

transparency

accountability

confidentiality

disclosure