论测试 AI 监管中人类监督要求合规性的复杂性
On the Complexities of Testing for Compliance with Human Oversight Requirements in AI Regulation
AI总结：
本文分析欧洲 AI 法案中人类监督要求的合规测试难题，指出清单法与实证测试的权衡、更新时机、情境依赖及标准难操作化等挑战。
摘要：
人类监督要求是欧洲 AI 法案以及 AI 治理的核心组成部分。本文重点指出了测试这些要求合规性时面临的关键挑战。核心困难在于如何在简单但可能无效的基于清单的方法，与资源密集且依赖情境的实证测试之间取得平衡，后者用于检验人类对 AI 的监督有效性。关于何时更新合规测试、人类监督要求依赖情境的性质，以及难以操作化的标准等问题，进一步使合规测试复杂化。我们认为，这些挑战体现了社会技术 AI 治理未来中更广泛的挑战，即从确保良好技术产品转向良好社会技术系统的未来。
英文摘要：
Human oversight requirements are a core component of the European AI Act and in AI governance. In this paper, we highlight key challenges in testing for compliance with these requirements. A central difficulty lies in balancing simple, but potentially ineffective checklist-based approaches with resource-intensive and context-sensitive empirical testing of the effectiveness of human oversight of AI. Questions regarding when to update compliance testing, the context-dependent nature of human oversight requirements, and difficult-to-operationalize standards further complicate compliance testing. We argue that these challenges illustrate broader challenges in the future of sociotechnical AI governance, i.e. a future that shifts from ensuring good technological products to good sociotechnical systems.
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。
