Wonder & Worry

Guidelines by field

AI guidelines in science and academic publishing what the field's own bodies ask

Science draws its line at authorship: AI can assist, but only people can be named, and blamed. Publishing ethics bodies, journals, funders and the European Commission agree on the core, and differ mainly on how much use must be disclosed.

Last reviewed 27 October 2026. Every claim links to its source.

At a glance

  1. AI cannot be an author

    It cannot take responsibility, declare conflicts or hold copyright.

  2. Humans stay fully accountable

    For everything in a paper, including what AI wrote.

  3. Disclose substantial use

    Name the tool and say how output was checked. Spellcheck usually needs no mention; when unsure, disclose.

  4. Keep peer review confidential

    Reviewers must not upload manuscripts or grant applications to public AI tools.

  5. No fabricated images

    AI-generated or photorealistic images are restricted or banned unless editors agree.

Who has spoken

Accountability cannot be delegated to AI systems.

Nature Portfolio

Binding and voluntary

Binding

Funders' rules (NIH, NSF) are conditions of funding, and breaches can lead to misconduct findings; journal policies are conditions of submission.

Voluntary

COPE and ICMJE recommendations, which member journals adopt, and the EU living guidelines.

What changed in 2025 and 2026

Where people still disagree

Where the disclosure line sits varies: some journals ask for acknowledgment of drafting help but not language polishing, while the EU guidelines say to disclose whenever in doubt.

Questions to ask yourself

  • Could I defend every sentence, figure and reference in this paper as if AI had nothing to do with it?
  • Have I disclosed AI use precisely enough that a reader could judge its effect?
  • Am I about to paste someone else's confidential manuscript or data into a tool?

How this lines up with my everyday guidelines

My everyday guidelines beside this field's nearest rules
My everyday guidelinesThe field's nearest rule

2. Practice transparent collaboration Own all outputs that carry your name or business reputation.

Humans stay fully accountable for everything in the paper (COPE; Nature).

6. Stay curious and critical Check sources and verify claims, especially for health and medical information.

Say how AI output was checked for errors and bias (EU living guidelines).

5. Protect privacy and boundaries Be mindful of confidential business or family information.

Never upload a manuscript under review to a public AI tool (NIH; ICMJE).

Source 239

Committee on Publication Ethics. Authorship and AI tools (position statement). publicationethics.org/guidance/cope-position/authorship-and-ai-tools

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Source 240

Enago (summary). Key changes in the January 2026 ICMJE Recommendations, including a new section on AI. lifesciences.enago.com/blogs/key-changes-and-implications-for-medical-communication-and-publishing

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Source 241

Nature Portfolio. Editorial policies: artificial intelligence. nature.com/nature-portfolio/editorial-policies/ai

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Source 245

European Commission / ERA Forum. Living guidelines on the responsible use of generative AI in research (fourth version, 15 Oct 2026). research-and-innovation.ec.europa.eu/document/download/2b6cf7e5-36ac-41cb-aab5-0d32050143dc_en

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Source 243

National Institutes of Health. NOT-OD-23-149: the use of generative AI in the NIH peer review process. 23 Jun 2023. grants.nih.gov/grants/guide/notice-files/NOT-OD-23-149.html ; NOT-OD-25-132: supporting fairness and originality in NIH research applications. 17 Jul 2025. grants.nih.gov/grants/guide/notice-files/NOT-OD-25-132.html

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Source 242

Manusights (summary, updated 2 Apr 2026). Science journals' AI policy. manusights.com/blog/science-ai-policy

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Source 244

CASRAI (summary, not checked against NSF's own text). NIH vs NSF vs ERC: AI in grant writing. casrai.org/compare/nih-vs-nsf-vs-erc-ai-in-grant-writing

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