Criteria for transparent, ethical, and responsible use of artificial intelligence in scientific publications (CRITERIA)

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The CRITERIA reference framework is proposed herein to guide scientific journals in the development of their policies on the transparent, ethical, and responsible use of artificial intelligence in research and academic publishing.

The document is based on two premises: firstly, AI can improve efficiency and support tasks such as idea generation, design, analysis, synthesis, and refinement of texts; but secondly,
it can pose serious risks to scientific integrity, including plagiarism, fabricated references or data, factual errors, bias, and the erosion of critical thinking.

The CRITERIA proposal is structured around five key tenets: AI cannot be credited as an author, responsibility lies wholly with the human authors, any use of AI requires critical human oversight, the manuscript must retain the author’s voice and stylistic consistency, and any substantial use of AI must be disclosed in a transparent and traceable manner.

CRITERIA thereby enables a distinction between permitted uses that require mandatory disclosure, instrumental uses that do not require disclosure, and prohibited uses, always emphasizing that disclosure does not justify practices that violate academic integrity. We also provide operational guidelines for the identification of substantial use of AI, the application of a test for whether a given use is substantial, and how to avoid fatigue and stigma related to declaration.

Keywords

Artificial intelligence, Scientific publications, Research ethics, Academic integrity, Transparency, Traceability, Authorship, Disclosure of AI use, Academic communication.

CRITERIA PDF


Citation

Codina, Lluís; Freixa, Pere; Peña, Simón; Lopezosa, Carlos (2026). Criteria for Transparent, Ethical, and Responsible Use of Artificial Intelligence in Scientific Publications (CRITERIA). Barcelona: Observatorio de Cibermedios (OCM) [Online Media Observatory]. DigiDoc Research Group (Pompeu Fabra University). [Ref. COC-05-ENG/2026]. https://doi.org/10.31009/coc.05.ENG.2026


Useful links

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Lluís Codina

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