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20242026
most citedDesign Considerations for Human Oversight of AI: Insights from Co-Design Workshops and Work Design Theory

4 citations · 12 across the 9 of their papers we have counts for

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cs.HC2026

What UI Design Can Do For "Good" Oversight Work: A Three-Month Action Research Study

Cedric Faas, Lisa Dargasz, Julius Gabelmann +4

With AI automating consequential tasks, human oversight is required for ethical, legal, and practical reasons. Yet these oversight tasks can be demanding and often make for poor wo…

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★ 4 cited

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★ 3 cited

Are explainable AI (XAI) evaluation strategies aligned? Comparing subjective, objective, and mathematical evaluation measures using saliency maps

Felix Kares, Timo Speith, Hanwei Zhang +1

The evaluation of explainable AI (XAI) approaches often relies on three families of methods: subjective measures (e.g., questionnaires on trust or satisfaction), objective measures…

cs.HC2025★ 1 cited

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.HC2024★ 4 cited

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…