发表机构
Universidad Rey Juan Carlos; University of Victoria（雷乌斯·胡安·卡洛斯大学; 维多利亚大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文实证研究开源软件中AI贡献政策，提出AI贡献治理框架，以规范AI中介贡献并保护维护者注意力与问责制。
AI 中文摘要
人工智能正在通过降低代码、文档、问题报告和评审交互的产生成本，重塑开源软件（OSS）的贡献方式。这为更广泛的参与创造了机会，但也扰乱了维护者评估贡献者努力、能力和责任的方式。为此，OSS项目开始通过贡献指南和其他项目文档来规范AI中介的贡献。本文对这些新兴政策进行了实证研究。我们通过评估其背后的理由、规则和期望，分析了关于AI中介贡献的项目政策。我们的分析表明，这些政策旨在保护稀缺的维护者注意力、保持问责制、维持有意义的评审交互、解决法律和质量问题，并维护新手学习的途径。基于这些发现，我们提出了AI贡献治理框架，该框架组织了跨项目反复出现的关注点和治理机制。该框架帮助OSS社区制定AI贡献政策，并为研究人员提供研究AI如何改变协作式软件生产的词汇表。
英文摘要
Artificial intelligence is reshaping open source software (OSS) contribution by lowering the cost of producing code, documentation, issue reports, and review interactions. This creates opportunities for broader participation, but also disrupts how maintainers assess contributor effort, competence, and accountability. In response, OSS projects are beginning to regulate AI-mediated contribution through contribution guidelines and other project documentation. This paper presents an empirical study of these emerging policies. We analyze project policies on AI-mediated contributions by evaluating their underlying rationales, rules, and expectations. Our analysis shows that these policies seek to protect scarce maintainer attention, preserve accountability, sustain meaningful review interactions, address legal and quality concerns, and maintain pathways for newcomer learning. Based on these findings, we introduce the AI Contribution Governance Framework, which organizes recurring concerns and governance mechanisms across projects. The framework helps OSS communities develop AI contribution policies and provides researchers with a vocabulary for studying how AI is changing collaborative software production.
