4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest
Jakob Schoeffer, Maria De-Arteaga, Jonathan Elmer
The design of AI systems to assist human decision-making typically requires the availability of labels to train and evaluate supervised models. Frequently, however, these labels ar…
cs.HC2022★ 4 cited
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…
cs.CY2021★ 1 cited
Diversity in Sociotechnical Machine Learning Systems
Sina Fazelpour, Maria De-Arteaga
There has been a surge of recent interest in sociocultural diversity in machine learning (ML) research, with researchers (i) examining the benefits of diversity as an organizationa…