AI policy for responsible use of artificial intelligence

Counts differ because each database indexes a different set of publications. We treat OpenAlex as the canonical count; Google Scholar is not shown (no API, and crawling it violates its ToS).

Artificial intelligence (AI), and generative AI in particular, is now part of everyday scientific work. It drafts and edits text, writes and explains code, summarizes literature, and assists with analysis. Used well, it can speed up discovery and lower barriers for the whole team. Used carelessly, it can leak confidential data, introduce fabricated results, erode skills, breach the integrity that research depends on. This policy sets out how the Data Analysis Core uses AI, so we benefit from it while protectingpeople, data, and the science. It covers four areas: scientific writing and publication; sensitive and personal data; coding, data analysis, and reproducibility; and the human and team impact. This policy sits underneath Paris Brain Institute’s institutional and CISO security policies and the wider legal framework, drawing them together into one summary for the team to work from. It does not replace binding law or a stricter rule from Paris Brain Institute, its supervising bodies, funders, or journals. Where any of those impose a stricter requirement, that requirement governs.