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Co-authored-by: Carol Willing <[email protected]>
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_posts/2025-11-18-generative-ai-peer-review.md

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@@ -25,7 +25,7 @@ Some developers believe that using AI products increases efficiency. However, in
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At pyOpenSci, we’ve drafted a new policy for our peer review process to set clear expectations for disclosing the use of LLMs in scientific open-source software.
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This is not about banning AI tools. We recognize their value to some people. Instead, our goal is transparency. We want maintainers to **disclose when and how they’ve used LLMs** so editors and reviewers can fairly and efficiently evaluate submissions. Further, we want to avoid burdening our volunteer editorial and reviewer team with being the first to review generated code.
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Our goal is transparency and fostering reproducible research. For scientific rigor, we want maintainers to **disclose when and how they’ve used LLMs** so editors and reviewers can fairly and efficiently evaluate submissions. Further, we want to avoid burdening our volunteer editorial and reviewer team with being the initial reviewers of generated code.
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## A complex topic: Benefits and concerns
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