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Introducing a Family of Synthetic Datasets for Research on Bias in Machine Learning
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Introducing a Family of Synthetic Datasets for Research on Bias in Machine Learning

William Blanzeisky
Padraig Cunningham
K. Kennedy
ArXiv (abs)PDFHTML

Papers citing "Introducing a Family of Synthetic Datasets for Research on Bias in Machine Learning"

3 / 3 papers shown
Title
Algorithmic Factors Influencing Bias in Machine Learning
Algorithmic Factors Influencing Bias in Machine Learning
William Blanzeisky
Padraig Cunningham
FaML
37
21
0
28 Apr 2021
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
FaMLHAI
245
769
0
13 Dec 2018
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
206
1,993
0
11 Dec 2014

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