AI CHAOS! 1st Workshop on the Challenges for Human Oversight of AI Systems

Conference Paper (2026)
Author(s)

Tim Schrills (University of Lübeck)

Patricia Kahr (Universitat Zurich)

Markus Langer (Albert-Ludwigs-Universität Freiburg)

Harmanpreet Kaur (University of Minnesota Twin Cities)

Ujwal Gadiraju (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Web Information Systems
DOI related publication
https://doi.org/10.1145/3742414.3794953 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Web Information Systems
Pages (from-to)
237-239
Publisher
ACM
ISBN (electronic)
9798400719851
Event
2026 ACM International Conference on Intelligent User Interfaces, IUI 2026 (2026-03-23 - 2026-03-26), Paphos, Cyprus
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26
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Abstract

As AI systems are increasingly adopted in high-stakes domains such as healthcare, autonomous driving, and criminal justice, their failures may threaten human safety and rights. Human oversight of AI systems is therefore critically important, as a potential safeguard to prevent harmful consequences in high-risk AI applications. Although regulations like the European AI Act mandate human oversight for high-risk AI, we lack methodologies and conceptual clarity to implement it effectively. Independent of policy and regulation, poorly designed oversight can create dangerous illusions of safety while obscuring accountability. This interdisciplinary workshop aims to bring together researchers from various disciplines, including AI, HCI, psychology, law, and policy, to address this critical gap. We will explore the following questions — How can we design AI systems that enable meaningful human oversight? What methods effectively communicate system states and risks to human overseers? How do we ensure scalable and effective interventions? Through papers, talks, and interactive group discussions, participants will identify oversight challenges, examine stakeholder roles, discuss supporting tools, methods, regulatory frameworks, and establish a collaborative research agenda. Our central goal is to further a roadmap that enables effective human oversight for the responsible deployment of AI in society.