21 citations · 53 across the 16 of their papers we have counts for
3 papers · 1 filter
Learning to Advise Humans in High-Stakes Settings
Nicholas Wolczynski, Maytal Saar-Tsechansky, Tong Wang
Expert decision-makers (DMs) in high-stakes AI-assisted decision-making (AIaDM) settings receive and reconcile recommendations from AI systems before making their final decisions.…
Algorithmic Fairness in Business Analytics: Directions for Research and Practice
Maria De-Arteaga, Stefan Feuerriegel, Maytal Saar-Tsechansky
The extensive adoption of business analytics (BA) has brought financial gains and increased efficiencies. However, these advances have simultaneously drawn attention to rising lega…
More Data Can Lead Us Astray: Active Data Acquisition in the Presence of Label Bias
Yunyi Li, Maria De-Arteaga, Maytal Saar-Tsechansky
An increased awareness concerning risks of algorithmic bias has driven a surge of efforts around bias mitigation strategies. A vast majority of the proposed approaches fall under o…