62 citations · 128 across the 7 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.HC2021★ 26 cited
Appropriate Fairness Perceptions? On the Effectiveness of Explanations in Enabling People to Assess the Fairness of Automated Decision Systems
Jakob Schoeffer, Niklas Kuehl
It is often argued that one goal of explaining automated decision systems (ADS) is to facilitate positive perceptions (e.g., fairness or trustworthiness) of users towards such syst…
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…
cs.LG2021★ 5 cited
A Ranking Approach to Fair Classification
Jakob Schoeffer, Niklas Kuehl, Isabel Valera
Algorithmic decision systems are increasingly used in areas such as hiring, school admission, or loan approval. Typically, these systems rely on labeled data for training a classif…