📄 中文摘要
AI 代理在生产环境中被广泛应用于浏览网页、编写代码、做出购买决策和起草法律文件等任务。尽管它们通常能够正确执行这些任务，但仅凭“通常”并不足以满足合规要求。随着欧盟人工智能法案的实施，尤其是2026年8月的首个强制执行条款，高风险AI系统必须展示持续的风险监控、技术措施以防止可预见的误用以及有效的人类监督机制。许多团队在治理方面采取补救措施，往往是在事后才开始记录输出和标记明显的失败，这种做法显然无法满足即将到来的合规要求。
为什么你的 AI 代理需要一个数学保镖
出处: Why Your AI Agents Need a Mathematical Bouncer
发布: 2026年3月17日
📄 English Summary
Why Your AI Agents Need a Mathematical Bouncer
AI agents are increasingly utilized in production environments for tasks such as web browsing, code writing, purchasing decisions, and drafting legal documents. While they often perform correctly, relying on 'usually' is insufficient for compliance. With the enforcement of the EU AI Act approaching, particularly the first provisions in August 2026, high-risk AI systems must demonstrate continuous risk monitoring, technical measures to prevent foreseeable misuse, and effective human oversight mechanisms. Many teams are treating governance as an afterthought, merely logging outputs and flagging obvious failures, which will not meet the impending compliance requirements.