AI 中文总结
研究开源人工智能协作中代理介导贡献的治理问题，开发代理治理宣言（AGM）作为双向治理合同，通过实验验证其有效性，构建三层框架，推进合规数字创新治理并保留维护者决策权。
AI 中文摘要
生成式人工智能和编码代理加剧了开源软件中的核心治理矛盾：贡献生成速度快于维护者评估风险、证据和问责制的速度。现有应对措施改善了代理的可读性和可追溯性，但项目规则还需组织特定贡献的风险、证据、问责制和审查关卡状态。对50个GitHub仓库的诊断性审计发现了普遍的治理工件、可观察到的代理可读性和分散的人工智能治理线索，但缺乏跨人工智能介导的贡献工作流程协调共享规则、准备义务、验证权和维护者决策权的全项目安排。我们开发了代理治理宣言（AGM）作为存储库托管的边界资源和双向治理合同，将贡献者方的证据准备与维护者方的验证联系起来。在一项有15名参与者和75个任务级输出的受控审查者方评估中，AGM支持的材料改善了精确风险标签恢复（37/38对15/37）和感知审查支持（1-7量表上为6.14对3.27）。在贡献者方的可行性检查中，15名参与者完成了45项任务；所有最终包都正确代表了核心治理状态，41个通过了严格的结构验证。该研究开发了一个代理可读性、可追溯性和可治理性的三层框架，将代理介导的贡献理论化为可治理的边界对象，并在保留维护者决策权的同时推进合规性数字创新治理。
英文摘要
Generative AI and coding agents are intensifying a central governance tension in open-source software (OSS): they scale contribution generation faster than maintainers can assess risk, evidence, and accountability. Existing responses improve agent-readability and traceability, but project rules must also organize contribution-specific risk, evidence, accountability, and review-gate states. We theorize this organizational arrangement as project-side governability infrastructure. A diagnostic audit of 50 GitHub repositories finds widespread general governance artifacts, observable agent-readability, and fragmented AI-governance cues, but no project-wide arrangement that coordinates shared rules, preparation obligations, verification rights, and maintainer decision authority across AI-mediated contribution workflows. We develop the Agent Governance Manifest (AGM) as a repository-hosted boundary resource and bidirectional governance contract linking contributor-side evidence preparation with maintainer-side verification. In a controlled reviewer-side evaluation with 15 participants and 75 task-level outputs, AGM-supported materials improved exact risk-label recovery (37/38 vs. 15/37) and perceived review support (6.14 vs. 3.27 on a 1-7 scale). In a contributor-side feasibility check, 15 participants completed 45 tasks; all final packages represented the core governance state correctly, and 41 passed strict structural validation. The study develops a three-layer framework of agent-readability, traceability, and governability, theorizes agent-mediated contributions as governable boundary objects, and advances compliance-enabling digital innovation governance while preserving maintainer decision authority.
CommentsPreprint. Under journal review
