174 citations · 425 across the 33 of their papers we have counts for
5 papers · 1 filter
Data-Centric Artificial Intelligence
Johannes Jakubik, Michael Vössing, Niklas Kühl +2
Data-centric artificial intelligence (data-centric AI) represents an emerging paradigm emphasizing that the systematic design and engineering of data is essential for building effe…
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts
Patrick Hemmer, Sebastian Schellhammer, Michael Vössing +2
Machine learning (ML) models are increasingly being used in application domains that often involve working together with human experts. In this context, it can be advantageous to d…
On the Effect of Information Asymmetry in Human-AI Teams
Patrick Hemmer, Max Schemmer, Niklas Kühl +2
Over the last years, the rising capabilities of artificial intelligence (AI) have improved human decision-making in many application areas. Teaming between AI and humans may even l…
On the Influence of Explainable AI on Automation Bias
Max Schemmer, Niklas Kühl, Carina Benz +1
Artificial intelligence (AI) is gaining momentum, and its importance for the future of work in many areas, such as medicine and banking, is continuously rising. However, insights o…
Should I Follow AI-based Advice? Measuring Appropriate Reliance in Human-AI Decision-Making
Max Schemmer, Patrick Hemmer, Niklas Kühl +2
Many important decisions in daily life are made with the help of advisors, e.g., decisions about medical treatments or financial investments. Whereas in the past, advice has often…