10 citations · 13 across the 3 of their papers we have counts for
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stat.ML2022★ 3 cited
Uncertainty-aware predictive modeling for fair data-driven decisions
Patrick Kaiser, Christoph Kern, David Rügamer
Both industry and academia have made considerable progress in developing trustworthy and responsible machine learning (ML) systems. While critical concepts like fairness and explai…
stat.ML2021
Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There?
Matthias Kuppler, Christoph Kern, Ruben L. Bach +1
The advent of powerful prediction algorithms led to increased automation of high-stake decisions regarding the allocation of scarce resources such as government spending and welfar…