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The Flawed Foundations of Fair Machine Learning

The Flawed Foundations of Fair Machine Learning

2 June 2023
R. Poe
Soumia Zohra El Mestari
    FaML
ArXivPDFHTML

Papers citing "The Flawed Foundations of Fair Machine Learning"

2 / 2 papers shown
Title
Simpson's Paradox in Recommender Fairness: Reconciling differences
  between per-user and aggregated evaluations
Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations
Flavien Prost
Ben Packer
Jilin Chen
Li Wei
Pierre-Antoine Kremp
...
Tulsee Doshi
Tonia Osadebe
Lukasz Heldt
Ed H. Chi
Alex Beutel
8
5
0
14 Oct 2022
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
314
4,203
0
23 Aug 2019
1