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arXiv 2603.26487cs.SEcs.HC
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超越禁止AI:开放源代码软件社区中生成式AI治理的初步探索

To Ban or not to Ban? How Open Source Projects Govern GenAI Contributions

Peking University(北京大学)

Wenhao Yang, Runzhi He, Minghui Zhou

AI总结:

本文通过分析67个高可见度的开源项目,探讨生成式AI在开源社区中的治理问题,识别出三种治理方向和12种策略,强调治理需协调责任、验证、审查能力等多方面。

摘要:

生成式AI(GenAI)在开源软件(OSS)中的作用日益增加,不仅限于代码生成和文档编写,还涉及问题讨论、拉取请求、代码审查和安全报告。然而,低成本生成并不意味着低成本审查,导致OSS项目需尝试针对GenAI的特定规则,甚至完全禁止AI辅助贡献。但GenAI在OSS中的治理远不止是否禁止的问题。现有回应零散,缺乏统一的治理框架和系统性理解。本文通过多阶段分析67个高可见度OSS项目的相关定性材料,识别出贡献工作流中的反复关注点,推导出三种治理方向,并绘制出12种治理策略及其实施模式。研究表明,GenAI在OSS中的治理远不止禁止,需协调责任、验证、审查能力、代码来源和平台基础设施等方面。总体而言,本文将分散的社区实践整合为结构化的概述,为研究者提供概念基础,为维护者和平台设计师提供实践参考。

英文摘要:

Generative AI (GenAI) is playing an increasingly important role in open source software (OSS). Beyond completing code and documentation, GenAI is increasingly involved in issues, pull requests, code reviews, and security reports. Yet, cheaper generation does not mean cheaper review - and the resulting maintenance burden has pushed OSS projects to experiment with GenAI-specific rules in contribution guidelines, security policies, and repository instructions, even including a total ban on AI-assisted contributions. However, governing GenAI in OSS is far more than a ban-or-not question. The responses remain scattered, with neither a shared governance framework in practice nor a systematic understanding in research. Therefore, in this paper, we conduct a multi-stage analysis on various qualitative materials related to GenAI governance retrieved from 67 highly visible OSS projects. Our analysis identifies recurring concerns across contribution workflows, derives three governance orientations, and maps out 12 governance strategies and their policy instruments. We show that governing GenAI in OSS extends well beyond banning - it requires coordinated responses across accountability, verification, review capacity, code provenance, and platform infrastructure. Overall, our work distills dispersed community practices into a structured overview, providing a conceptual baseline for researchers and a practical reference for maintainers and platform designers.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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