62 citations · 120 across the 6 of their papers we have counts for
4 papers · 1 filter
"There Is Not Enough Information": On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making
Jakob Schoeffer, Niklas Kuehl, Yvette Machowski
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…
On the Relationship Between Explanations, Fairness Perceptions, and Decisions
Jakob Schoeffer, Maria De-Arteaga, Niklas Kuehl
It is known that recommendations of AI-based systems can be incorrect or unfair. Hence, it is often proposed that a human be the final decision-maker. Prior work has argued that ex…
Perceptions of Fairness and Trustworthiness Based on Explanations in Human vs. Automated Decision-Making
Jakob Schoeffer, Yvette Machowski, Niklas Kuehl
Automated decision systems (ADS) have become ubiquitous in many high-stakes domains. Those systems typically involve sophisticated yet opaque artificial intelligence (AI) technique…
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…