8 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.SI2023★ 8 cited
Disentangling and Operationalizing AI Fairness at LinkedIn
Joaquin Quiñonero-Candela, Yuwen Wu, Brian Hsu +5
Operationalizing AI fairness at LinkedIn's scale is challenging not only because there are multiple mutually incompatible definitions of fairness but also because determining what…
cs.LG2023
An Operational Perspective to Fairness Interventions: Where and How to Intervene
Brian Hsu, Xiaotong Chen, Ying Han +2
As AI-based decision systems proliferate, their successful operationalization requires balancing multiple desiderata: predictive performance, disparity across groups, safeguarding…
cs.CY2022★ 2 cited
Pushing the limits of fairness impossibility: Who's the fairest of them all?
Brian Hsu, Rahul Mazumder, Preetam Nandy +1
The impossibility theorem of fairness is a foundational result in the algorithmic fairness literature. It states that outside of special cases, one cannot exactly and simultaneousl…