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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"

6 / 6 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
70
0
0
10 Nov 2024
Causal Fairness Assessment of Treatment Allocation with Electronic
  Health Records
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records
Linying Zhang
L. Richter
Yixin Wang
A. Ostropolets
Noémie Elhadad
David M. Blei
G. Hripcsak
CML
26
1
0
21 Nov 2022
Causal Conceptions of Fairness and their Consequences
Causal Conceptions of Fairness and their Consequences
H. Nilforoshan
Johann D. Gaebler
Ravi Shroff
Sharad Goel
FaML
136
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
33
22
0
22 Sep 2021
Fairness Through Counterfactual Utilities
Fairness Through Counterfactual Utilities
Jack Blandin
Ian A. Kash
FaML
27
2
0
11 Aug 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
2,090
0
24 Oct 2016
1