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

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.

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Publication Details

Published
2026-03-09
DOI
https://doi.org/10.1145/3742414.3794953
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
17.70
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article

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

Harmanpreet Kaur, Ujwal Gadiraju, Markus Langer, Patricia Kahr et al.
1 citations
Artificial Intelligence in Healthcare and Education
17.70
article

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

Harmanpreet Kaur, Ujwal Gadiraju, Markus Langer, Patricia Kahr, Tim Schrills
article en
1 citations

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.

University of Minnesota (US), University of Freiburg (DE), University of Zurich (CH), University of Lübeck (DE), Delft University of Technology (NL)
Peace, Justice and strong institutions
Openalex Percentile: Top 1%
Artificial Intelligence in Healthcare and Education
17.70
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AI CHAOS! 1st Workshop on the Challenges for Human Oversight of AI Systems — Harmanpreet Kaur, Ujwal Gadiraju, et al. · (2026) | TGRS Research Map | TGRS