4 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…
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…