3 citations · 3 across the 2 of their papers we have counts for
5 papers
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…
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…
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…