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Distributive Justice as the Foundational Premise of Fair ML:
  Unification, Extension, and Interpretation of Group Fairness Metrics

Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics

6 June 2022
Joachim Baumann
Corinna Hertweck
M. Loi
Christoph Heitz
ArXivPDFHTML

Papers citing "Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics"

2 / 2 papers shown
Title
Distributive Justice and Fairness Metrics in Automated Decision-making:
  How Much Overlap Is There?
Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There?
M. Kuppler
Christoph Kern
Ruben L. Bach
Frauke Kreuter
FaML
33
19
0
04 May 2021
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
207
2,092
0
24 Oct 2016
1