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Fairness criteria through the lens of directed acyclic graphical models

Fairness criteria through the lens of directed acyclic graphical models

26 June 2019
Benjamin R. Baer
Daniel E. Gilbert
M. Wells
    FaML
ArXivPDFHTML

Papers citing "Fairness criteria through the lens of directed acyclic graphical models"

5 / 5 papers shown
Title
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning
Caleb J. S. Barr
Olivia Erdelyi
Paul D. Docherty
Randolph C. Grace
FaML
82
0
0
10 Nov 2024
Gradual (In)Compatibility of Fairness Criteria
Gradual (In)Compatibility of Fairness Criteria
Corinna Hertweck
T. Raz
30
12
0
09 Sep 2021
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path
  Decomposition
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition
Weishen Pan
Sen Cui
Jiang Bian
Changshui Zhang
Fei Wang
CML
FaML
27
33
0
11 Aug 2021
Abstracting Fairness: Oracles, Metrics, and Interpretability
Abstracting Fairness: Oracles, Metrics, and Interpretability
Cynthia Dwork
Christina Ilvento
G. Rothblum
Pragya Sur
FaML
27
5
0
04 Apr 2020
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
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