---
title: "自主与代理AI的监管：挑战与解决方案"
source: "arXiv AI/CL/LG（论文）"
source_tier: "t2"
url: "https://arxiv.org/abs/2607.21345v1"
permalink: "https://feed.astralor.com/items/itm_14885fd72ff66f1402ef9116"
published: "2026-07-23T14:13:34.000Z"
score: 81
channel: "ai"
tags: ["AI治理","数据保护","欧盟AI法案","自主AI","英国金融行为监管局"]
---

# 自主与代理AI的监管：挑战与解决方案

## AI 点评

> 这篇论文值得所有关注AI治理的人细读，因为它第一次把‘自主性’这个技术特征如何瓦解传统监管逻辑讲透了。对于正在起草AI法案的立法者、以及需要设计合规体系的科技公司法务，它提供了从‘事后罚款’转向‘事前预防’的完整路线图。

## 速览

本文探讨自主与代理AI带来的监管困境：传统监管假设（规制对象的知识与控制）失效，AI供应链中的责任分散使规则难以落地。研究基于英国内容平台、数据保护、金融监管及欧盟AI法案四个案例，分析自主AI引发的系统性风险与事后监管失灵问题，提出将监管从被动转为主动的变革方案，为构建新型AI治理框架提供理论与政策建议。

## 关键点

- 自主AI使监管假设失效：规制者不再完全掌控AI行为，责任分散至供应链各环节。
- 分析了四个监管体系（英国内容平台、数据保护、金融服务、欧盟AI法案）中的共性挑战。
- 事后监管作为风险管理工具失效，需转向主动式、前瞻性监管框架。
- 提出将AI供应链整体纳入监管范围，并应对自主性带来的新型系统性风险。

## 全文

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.

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引用前请核对原文;本文由星际流动整理:https://feed.astralor.com/items/itm_14885fd72ff66f1402ef9116