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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

5 October 2022
Indra Elizabeth Kumar
Keegan E. Hines
John P. Dickerson
    FaML
ArXivPDFHTML

Papers citing "Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation"

2 / 2 papers shown
Title
Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or
  Why the Law is not a Decision Tree
Algorithmic Unfairness through the Lens of EU Non-Discrimination Law: Or Why the Law is not a Decision Tree
Hilde J. P. Weerts
Raphaële Xenidis
Fabien Tarissan
Henrik Palmer Olsen
Mykola Pechenizkiy
FaML
15
21
0
05 May 2023
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
185
2,079
0
24 Oct 2016
1