AI 中文总结
研究规范自主和智能代理人工智能活动的挑战，通过分析英国内容平台监管等四种监管系统，提出潜在解决方案，助力将监管从被动转为主动，以适应人工智能自主性挑战。
AI 中文摘要
规范受监管者使用自主和智能代理人工智能的活动具有挑战性。关于受监管者知识和控制的监管假设不再成立；其中大部分存在于人工智能供应链的其他地方，因此需要将其纳入监管范围。自主人工智能的治理系统不能复制现有的治理模式，而需要一种新方法。追溯性监督作为一种风险管理工具变得无效，人工智能自主性产生了新的系统性风险，需要新的解决方案。本文研究了四种监管系统：英国对内容平台的监管、数据保护、英国金融服务以及欧盟人工智能法案的跨部门制度。它分析了自主和智能代理人工智能带来的挑战，并提出了监管机构可能采用的潜在解决方案。这些将把监管从一个被动过程转变为一个主动过程，并帮助其适应人工智能自主性的挑战。
英文摘要
Regulating activities where regulatees use autonomous and agentic AI is challenging. Regulatory assumptions about regulatee knowledge and control no longer hold true; much of that lies elsewhere in the AI supply chain which thus needs to be brought within the scope of regulation. Governance systems for autonomous AI cannot replicate existing governance models, but need a fresh approach. Retrospective supervisory oversight becomes ineffective as a risk management tool, and AI autonomy generates new systemic risks which require new solutions. This paper investigate four regulatory systems: UK regulation of content platforms, data protection, UK financial services, and the EU AI Act\'92s cross-sectoral regime. It analyses the challenges posed by autonomous and agentic AI and proposes potential solutions which regulators might adopt. These will transform regulation from a reactive process to an active one, and assist it in adapting to the challenges of AI autonomy.
