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Improving fairness in machine learning systems: What do industry
  practitioners need?

Improving fairness in machine learning systems: What do industry practitioners need?

13 December 2018
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
    FaML
    HAI
ArXivPDFHTML

Papers citing "Improving fairness in machine learning systems: What do industry practitioners need?"

1 / 1 papers shown
Title
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
166
1,911
0
24 Oct 2016
1