most cited"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making

62 citations · 120 across the 6 of their papers we have counts for

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cs.AI2022★ 9 cited

A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making

Jakob Schoeffer

Automated decision systems (ADS) are increasingly used for consequential decision-making. These systems often rely on sophisticated yet opaque machine learning models, which do not…

cs.AI2021★ 15 cited

A Study on Fairness and Trust Perceptions in Automated Decision Making

Jakob Schoeffer, Yvette Machowski, Niklas Kuehl

Automated decision systems are increasingly used for consequential decision making -- for a variety of reasons. These systems often rely on sophisticated yet opaque models, which d…