On the Complexities of Testing for Compliance with Human Oversight Requirements in AI Regulation

• URL: http://arxiv.org/abs/2504.03300v2
• Date: Thu, 24 Jul 2025 10:13:15 GMT
• Title: On the Complexities of Testing for Compliance with Human Oversight Requirements in AI Regulation
• Authors: Markus Langer, Veronika Lazar, Kevin Baum,
• Abstract summary: Human oversight requirements are a core component of the European AI Act.<n>We argue that these challenges illustrate broader challenges in the future of sociotechnical AI governance.
• Score: 0.8192907805418583
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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