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Estimating and Implementing Conventional Fairness Metrics With
  Probabilistic Protected Features

Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features

2 October 2023
Hadi Elzayn
Emily Black
Patrick Vossler
Nathanael Jo
Jacob Goldin
Daniel E. Ho
ArXivPDFHTML

Papers citing "Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features"

3 / 3 papers shown
Title
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of
  Large Language Models
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
Thomas P. Zollo
Todd Morrill
Zhun Deng
Jake C. Snell
T. Pitassi
Richard Zemel
43
8
0
22 Nov 2023
Learning Fair Classifiers with Partially Annotated Group Labels
Learning Fair Classifiers with Partially Annotated Group Labels
Sangwon Jung
Sanghyuk Chun
Taesup Moon
65
46
0
29 Nov 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
2,082
0
24 Oct 2016
1