A framework plus three heuristics for fair clustering that give precise cost-fairness control and scale to millions of objects while beating existing solvers on benchmark data.
arXiv preprint arXiv:2407.11199 , year=
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A large randomized experiment finds that admissions officers' decisions remain largely unchanged when shown a more favorable algorithmic score from one of two similar models for the same applicant.
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Fast and effective algorithms for fair clustering at scale
A framework plus three heuristics for fair clustering that give precise cost-fairness control and scale to millions of objects while beating existing solvers on benchmark data.
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Does Algorithmic Uncertainty Sway Human Experts? Evidence from a Field Experiment in Selective College Admissions
A large randomized experiment finds that admissions officers' decisions remain largely unchanged when shown a more favorable algorithmic score from one of two similar models for the same applicant.