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AI In Scientific Publishing: Uses and Guidance for ...
AI In Scientific Publishing: Uses and Guidance for ...
AI In Scientific Publishing: Uses and Guidance for Authors, Reviewers, and Editors Presentation
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Pdf Summary
The document explains how artificial intelligence is increasingly used in scientific publishing and why clear guidance is needed. It notes that AI adoption among academics has grown rapidly, especially for writing support, but policies still vary across publishers and societies. The central message is that AI offers real benefits, but responsibility, transparency, and human judgment must remain paramount.<br /><br />For authors, AI may be used responsibly for literature searching, note-taking, organization, language editing, coding support, and manuscript preparation. However, it should not generate research content, data, conclusions, or unsupported interpretations. Journals generally expect disclosure when AI is used for drafting, image generation or modification, or code/data processing. Disclosure does not imply misconduct or authorship, but helps preserve trust.<br /><br />For reviewers, the document emphasizes that peer review is confidential. Reviewers may use AI only for personal understanding, such as summarizing a manuscript offline, improving organization, or navigating long papers, ideally through secure or local tools. They should not upload confidential manuscripts to public AI systems or use AI to make review judgments or write decisions.<br /><br />For editors and publishers, AI can support tasks like manuscript triage, plagiarism and image screening, reviewer matching, and detecting paper mills or citation anomalies. But AI may inform decisions, not make them. Human editors remain fully accountable for publication choices.<br /><br />The journal’s policy states that AI tools cannot be authors, must be disclosed when used, and should not be used for peer review. Overall, the document calls for ethical, transparent, and regularly updated AI policies to protect scholarly integrity and trust.
Keywords
artificial intelligence
scientific publishing
AI policy
transparency
human judgment
authorship disclosure
peer review confidentiality
manuscript preparation
editorial workflow
scholarly integrity
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