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Aequitas Flow: Streamlining Fair ML Experimentation

Aequitas Flow: Streamlining Fair ML Experimentation

9 May 2024
Sérgio Jesus
Pedro Saleiro
Ines Oliveira e Silva
Beatriz M. Jorge
Rita P. Ribeiro
João Gama
P. Bizarro
Rayid Ghani
ArXivPDFHTML

Papers citing "Aequitas Flow: Streamlining Fair ML Experimentation"

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
294
4,187
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
185
2,082
0
24 Oct 2016
1