1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.HC2025
ReVise: A Human-AI Interface for Incremental Algorithmic Recourse
Kaustav Bhattacharjee, Jun Yuan, Aritra Dasgupta
The recent adoption of artificial intelligence in socio-technical systems raises concerns about the black-box nature of the resulting decisions in fields such as hiring, finance, a…
cs.LG2024★ 1 cited
Fooling SHAP with Output Shuffling Attacks
Jun Yuan, Aritra Dasgupta
Explainable AI~(XAI) methods such as SHAP can help discover feature attributions in black-box models. If the method reveals a significant attribution from a ``protected feature'' (…
cs.HC2022
Rankers, Rankees, & Rankings: Peeking into the Pandora's Box from a Socio-Technical Perspective
Jun Yuan, Julia Stoyanovich, Aritra Dasgupta
Algorithmic rankers have a profound impact on our increasingly data-driven society. From leisurely activities like the movies that we watch, the restaurants that we patronize; to h…