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20242026
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cs.HC2026

Don't blame me: How Intelligent Support Affects Moral Responsibility in Human Oversight

Cedric Faas, Richard Uth, Sarah Sterz +2

AI-based systems can increasingly perform work tasks autonomously. In safety-critical tasks, human oversight of these systems is required to mitigate risks and to ensure responsibi…

cs.HC2025

Design Considerations for Human Oversight of AI: Insights from Co-Design Workshops and Work Design Theory

Cedric Faas, Sophie Kerstan, Richard Uth +2

As AI systems become increasingly capable and autonomous, domain experts' roles are shifting from performing tasks themselves to overseeing AI-generated outputs. Such oversight is…

cs.HC2025

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

Markus Langer, Veronika Lazar, Kevin Baum

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 requi…

cs.HC2025

What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI)

Felix Kares, Timo Speith, Hanwei Zhang +1

Saliency maps are a popular approach for explaining classifications of (convolutional) neural networks. However, it remains an open question as to how best to evaluate salience map…

cs.HC2024

Give Me a Choice: The Consequences of Restricting Choices Through AI-Support for Perceived Autonomy, Motivational Variables, and Decision Performance

Cedric Faas, Richard Bergs, Sarah Sterz +2

Design optimizations in human-AI collaboration often focus on cognitive aspects like attention and task load. Drawing on work design literature, we propose that effective human-AI…