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AI Policy, Disclosure, and Human in the Loop: How Are Con...
[Submitted on 15 May 2026 (v1), last revised 13 Jul 2026 (this v · 2026-05-16 · via cs.SE updates on arXiv.org

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Abstract:Generative AI (GenAI) has recently transformed software development. Due to the ease of generating code, open source projects are experiencing a growth in contributions. To address the rise of GenAI, open source projects have begun implementing policies for AI usage in contributions. However, the extent to which open source specifies whether AI-assisted contributions are allowed or prohibited, along with the best practices for contributors, remains unclear. This paper provides an initial empirical study to explore how open source projects are adapting to GenAI contributions. We analyzed 1,000 popular GitHub repositories and identified 118 AI policies for contributors. Our results show that (1) 78% of the AI policies allow AI-assisted contributions, while 22% explicitly discourage AI use. (2) 51% of the AI policies require the disclosure of AI-assisted contributions; and (3) 74% of the AI policies require a human in the loop during contribution. Overall, we find that the majority of the analyzed AI policies are positive regarding the usage of GenAI. However, AI disclosure and human in the loop are fundamental in the contribution process. Finally, we conclude by discussing implications for developers and researchers.

Submission history

From: Andre Hora [view email]
[v1] Fri, 15 May 2026 23:44:08 UTC (300 KB)
[v2] Mon, 13 Jul 2026 23:08:46 UTC (300 KB)