17 citations · 32 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 4 cited
When Fair Classification Meets Noisy Protected Attributes
Avijit Ghosh, Pablo Kvitca, Christo Wilson
The operationalization of algorithmic fairness comes with several practical challenges, not the least of which is the availability or reliability of protected attributes in dataset…
cs.LG2021★ 17 cited
FairCanary: Rapid Continuous Explainable Fairness
Avijit Ghosh, Aalok Shanbhag, Christo Wilson
Systems that offer continuous model monitoring have emerged in response to (1) well-documented failures of deployed Machine Learning (ML) and Artificial Intelligence (AI) models an…
cs.IR2021★ 11 cited
When Fair Ranking Meets Uncertain Inference
Avijit Ghosh, Ritam Dutt, Christo Wilson
Existing fair ranking systems, especially those designed to be demographically fair, assume that accurate demographic information about individuals is available to the ranking algo…