构建AI治理的法律基础设施，推动规则落地与创新协同。
Legal Infrastructure for Transformative AI Governance
- 提出前沿模型注册制度，强化风险源头管控。
- 设计自主智能体注册与标识机制，提升行为可追溯性。
- 探索监管市场模式，鼓励企业参与合规服务创新。
当前多数AI治理聚焦于具体内容规则，如应设定哪些限制或审查机制。但法律的关键作用不仅在于制定实质规则，更在于建立生成与实施规则的法律与监管基础设施。鉴于AI的变革性特征，亟需重视制度框架建设。本文回顾了三项提议：一是为前沿模型建立注册制度；二是为自主智能体设立注册与身份识别机制；三是设计监管市场，让私营企业能创新并提供AI监管服务，推动治理生态的多元化发展。
原文摘要 · Abstract (English)
Most of our AI governance efforts focus on substance: what rules do we want in place? What limits or checks do we want to impose on AI development and deployment? But a key role for law is not only to establish substantive rules but also to establish legal and regulatory infrastructure to generate and implement rules. The transformative nature of AI calls especially for attention to building legal and regulatory frameworks. In this PNAS Perspective piece I review three examples I have proposed: the creation of registration regimes for frontier models; the creation of registration and identification regimes for autonomous agents; and the design of regulatory markets to facilitate a role for private companies to innovate and deliver AI regulatory services.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。