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Principal Fairness for Human and Algorithmic Decision-Making

Principal Fairness for Human and Algorithmic Decision-Making

21 May 2020
Kosuke Imai
Zhichao Jiang
    FaML
ArXivPDFHTML

Papers citing "Principal Fairness for Human and Algorithmic Decision-Making"

4 / 4 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
63
0
0
10 Nov 2024
Causal Conceptions of Fairness and their Consequences
Causal Conceptions of Fairness and their Consequences
H. Nilforoshan
Johann D. Gaebler
Ravi Shroff
Sharad Goel
FaML
128
45
0
12 Jul 2022
Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment
Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment
Eli Ben-Michael
D. J. Greiner
Kosuke Imai
Zhichao Jiang
OffRL
23
22
0
22 Sep 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
198
2,082
0
24 Oct 2016
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