Institutional standard / authorship
AI-Use Disclosure
How meaningful use of generative AI in writing, coding, analysis, or research workflow is disclosed without transferring human scholarly responsibility to a model.
AI assistance can be substantial without becoming human accountability.
AI-Use Disclosure
How meaningful use of generative AI in writing, coding, analysis, or research workflow is disclosed without transferring human scholarly responsibility to a model.
AI assistance can be substantial without becoming human accountability.
Permitted assistance
Generative AI may assist with ideation, drafting, editing, translation, code, data transformation, test generation, literature-navigation support, and critical review when the resulting work is checked to the level appropriate for its use.
Disclosure threshold
Meaningful AI participation should be disclosed when it materially shaped the wording, analysis, software, experimental workflow, figures, or conceptual development of a scholarly output. Routine spelling or formatting assistance does not require the same level of disclosure.
Human responsibility
- Human authors or institutional editors remain responsible for factual claims, citations, permissions, and publication decisions.
- AI-generated citations or quotations must be independently verified before publication.
- A model output used as research evidence must be preserved as evidence, not silently rewritten into a cleaner answer.
- AI critique does not constitute peer review.
Authorship
Under the current Xenopsychology standard, AI systems are not listed as scholarly authors because authorship carries responsibilities the institution assigns to accountable human or organizational contributors. Meaningful AI contributions may instead be described in disclosure, acknowledgments, methodology, or contribution notes.