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Articulation Work and Tinkering for Fairness in Machine Learning

Articulation Work and Tinkering for Fairness in Machine Learning

23 July 2024
Miriam Fahimi
Mayra Russo
Kristen M. Scott
Maria-Esther Vidal
Bettina Berendt
K. Kinder-Kurlanda
    FaML
ArXivPDFHTML

Papers citing "Articulation Work and Tinkering for Fairness in Machine Learning"

2 / 2 papers shown
Title
Exploring How Machine Learning Practitioners (Try To) Use Fairness
  Toolkits
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits
Wesley Hanwen Deng
Manish Nagireddy
M. S. Lee
Jatinder Singh
Zhiwei Steven Wu
Kenneth Holstein
Haiyi Zhu
41
88
0
13 May 2022
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
743
0
13 Dec 2018
1