62 citations · 107 across the 4 of their papers we have counts for
6 papers
"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…
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…
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…
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…
Needmining: Identifying micro blog data containing customer needs
Niklas Kühl, Jan Scheurenbrand, Gerhard Satzger
The design of new products and services starts with the identification of needs of potential customers or users. Many existing methods like observations, surveys, and experiments d…