4 citations · 12 across the 9 of their papers we have counts for
4 papers · 1 filter
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…