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Bias In, Bias Out? Evaluating the Folk Wisdom

Bias In, Bias Out? Evaluating the Folk Wisdom

18 September 2019
Ashesh Rambachan
J. Roth
    FaML
ArXivPDFHTML

Papers citing "Bias In, Bias Out? Evaluating the Folk Wisdom"

3 / 3 papers shown
Title
Provable Detection of Propagating Sampling Bias in Prediction Models
Provable Detection of Propagating Sampling Bias in Prediction Models
Pavan Ravishankar
Qingyu Mo
E. McFowland
Daniel B. Neill
38
3
0
13 Feb 2023
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic
  Fairness Research with U.S. Fair Lending Regulation
Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation
Indra Elizabeth Kumar
Keegan E. Hines
John P. Dickerson
FaML
41
20
0
05 Oct 2022
Unpacking the Black Box: Regulating Algorithmic Decisions
Unpacking the Black Box: Regulating Algorithmic Decisions
Laura Blattner
Scott Nelson
Jann Spiess
MLAU
FaML
28
19
0
05 Oct 2021
1