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arXiv 2602.01474cs.AI
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变革性人工智能治理的法律基础设施

Legal Infrastructure for Transformative AI Governance

Gillian K. Hadfield

AI总结:

本文提出通过建立法律和监管基础设施,推动变革性AI治理,包括前沿模型注册、自主代理识别及监管市场设计。

摘要:

大多数我们的AI治理努力集中在实质内容上:我们希望制定哪些规则?我们希望对AI的发展和部署施加哪些限制或检查?但法律的作用不仅限于建立实质性的规则,还应建立法律和监管基础设施,以生成和实施规则。AI的变革性特别要求关注构建法律和监管框架。在本文中,我回顾了我提出的三个例子:为前沿模型建立注册制度;为自主代理建立注册和识别制度;以及设计监管市场,以促进私人公司创新和提供AI监管服务。

英文摘要:

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.

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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