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AI Fairness: from Principles to Practice

AI Fairness: from Principles to Practice

20 July 2022
A. Bateni
Matthew Chan
Ray Eitel-Porter
ArXivPDFHTML

Papers citing "AI Fairness: from Principles to Practice"

2 / 2 papers shown
Title
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
364
4,237
0
23 Aug 2019
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