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How Costly is Noise? Data and Disparities in Consumer Credit

How Costly is Noise? Data and Disparities in Consumer Credit

17 May 2021
Laura Blattner
Scott Nelson
ArXivPDFHTML

Papers citing "How Costly is Noise? Data and Disparities in Consumer Credit"

3 / 3 papers shown
Title
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
51
21
0
05 Oct 2022
Modelling the long-term fairness dynamics of data-driven targeted help
  on job seekers
Modelling the long-term fairness dynamics of data-driven targeted help on job seekers
S. Scher
Simone Kopeinik
A. Trugler
Dominik Kowald
45
9
0
17 Aug 2022
InfoGram and Admissible Machine Learning
InfoGram and Admissible Machine Learning
S. Mukhopadhyay
FaML
24
8
0
17 Aug 2021
1