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Measuring and signing fairness as performance under multiple stakeholder
  distributions

Measuring and signing fairness as performance under multiple stakeholder distributions

20 July 2022
David Lopez-Paz
Diane Bouchacourt
Levent Sagun
Nicolas Usunier
ArXivPDFHTML

Papers citing "Measuring and signing fairness as performance under multiple stakeholder distributions"

3 / 3 papers shown
Title
Thinking Beyond Distributions in Testing Machine Learned Models
Thinking Beyond Distributions in Testing Machine Learned Models
Negar Rostamzadeh
B. Hutchinson
Christina Greer
Vinodkumar Prabhakaran
TTA
34
6
0
06 Dec 2021
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
323
4,203
0
23 Aug 2019
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
192
742
0
13 Dec 2018
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