4 citations · 12 across the 9 of their papers we have counts for
10 papers
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…
Anticipatory Human Oversight of Agentic AI: A Philosophical Account
Kevin Baum, Maximilian Kiener, Markus Langer +1
Human oversight is widely held to mitigate the risks of AI systems. Even for systems that produce discrete outputs at identifiable decision points, the realisation of human oversig…
Keeping an Eye on AI: A Framework for Effective Human Oversight of AI Systems
Susanne Gaube, Markus Langer, Tim Miller +17
The use of Artificial Intelligence (AI) in high-risk, decision-making scenarios presents technical, safety, and normative challenges; problems that may only be ameliorated by human…
From Universal to Individualized Actionability: Revisiting Personalization in Algorithmic Recourse
Lena Marie Budde, Ayan Majumdar, Richard Uth +2
Algorithmic recourse aims to provide actionable recommendations that enable individuals to change unfavorable model outcomes, and prior work has extensively studied properties such…
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…
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…
Secure human oversight of AI: Threat modeling in a socio-technical context
Jonas C. Ditz, Veronika Lazar, Elmar Lichtmeß +4
Human oversight of AI is promoted as a safeguard against risks such as inaccurate outputs, system malfunctions, or violations of fundamental rights, and is mandated in regulation l…
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…
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…
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…