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We propose definitions of fairness in machine learning and artificial intelligence systems that are informed by the framework of intersectionality, a critical lens arising from the Humanities literature which analyzes how interlocking systems of power and oppression affect individuals along overlapping dimensions including gender, race, sexual orientation, class, and disability.
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Injustice at every turn: A report of the national transgender discrimination survey
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The new Jim Crow: Mass incarceration in the age of colorblindness
M. Alexander · 2012
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Fairness through awareness
C. Dwork, M. Hardt, T. Pitassi, O. Reingold, and R. Zemel · 2012
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The algorithmic foundations of differential privacy
C. Dwork and A. Roth · 2013
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Machine bias: There’s software used across the country to predict future criminals. and it’s biased against blacks
J. Angwin, J. Larson, S. Mattu, and L. Kirchner · 2016
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The problem of infra-marginality in outcome tests for discrimination
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Fairness in criminal justice risk assessments: The state of the art
R. Berk, H. Heidari, S. Jabbari, M. Kearns, and A. Roth · 2018
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T. Bolukbasi, K.-W. Chang, J.Y. Zou, V. Saligrama, and A.T. Kalai · 2016
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Equality of opportunity in supervised learning
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Big data: A report on algorithmic systems, opportunity, and civil rights
C. Munoz, M. Smith, and D.J. Patil · 2016
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A convex framework for fair regression
R. Berk, H. Heidari, S. Jabbari, M. Joseph, M. Kearns, J. Morgenstern, S. Neel, and A. Roth · 2017
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Data decisions and theoretical implications when adversarially learning fair representations
A. Beutel, J. Chen, Z. Zhao, and E.H. Chi · 2017
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J. Buolamwini and T. Gebru · 2018
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Amazon scraps secret AI recruiting tool that showed bias against women
J. Dastin · 2018
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Empirical risk minimization under fairness constraints
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Multicalibration: Calibration for the (Computationally-identifiable) masses
U. Hebert-Johnson, M. Kim, O. Reingold, and G. Rothblum · 2018
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Differentially private fair learning
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Preventing fairness gerrymandering: Auditing and learning for subgroup fairness
M. Kearns, S. Neel, A. Roth, and Z.S. Wu · 2018
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Prediction-based decisions and fairness: A catalogue of choices, assumptions, and definitions
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