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

Markus Langer; Veronika Lazar; Kevin Baum

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arXiv · 2504.03300

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

Markus Langer·Veronika Lazar·Kevin Baum

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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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Markus Langer, Veronika Lazar, Kevin Baum. 2025-04-04. On the Complexities of Testing for Compliance with Human Oversight Requirements in AI Regulation. https://arxiv.org/abs/2504.03300

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