5 citations · 6 across the 4 of their papers we have counts for
4 papers
Friction in AI-Assisted Clinical Decision-Making: A Case Study on The Role of Questions and 'What-if' Scenarios
Simon WS Fischer, Hanna Schraffenberger, Miranda L. van Hooff +2
Clinical decision-making is augmented by decision-support systems (DSSs). To counter overreliance on DSSs, several methods have been proposed that create friction in order to promo…
Supporting Reflection and Forward-Looking Reasoning With Data-Driven Questions
Simon WS Fischer, Hanna Schraffenberger, Serge Thill +1
Many generative AI systems as well as decision-support systems (DSSs) provide operators with predictions or recommendations. Various studies show, however, that people can mistaken…
A Taxonomy of Questions for Critical Reflection in Machine-Assisted Decision-Making
Simon W. S. Fischer, Hanna Schraffenberger, Serge Thill +1
Decision-makers run the risk of relying too much on machine recommendations, which is associated with lower cognitive engagement. Reflection has been shown to increase cognitive en…
Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges
Gabrielle Ras, Marcel van Gerven, Pim Haselager
Issues regarding explainable AI involve four components: users, laws & regulations, explanations and algorithms. Together these components provide a context in which explanation me…