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What does it mean for an algorithm to be biased? In U.S.
Griggs v. Duke Power Co
Supreme Court of the United States · 1971
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Uniform guidelines on employee selection procedures, March 2, 1979
The U.S. EEOC · 1979
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Watson v. Fort Worth Bank & Trust
Supreme Court of the United States · 1988
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House bill 588
Texas House of Representatives · 1997
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A support vector method for multivariate performance measures
T. Joachims · 2005
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Liblinear: A library for large linear classification
R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin · 2008
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Building classifiers with independency constraints
T. Calders, F. Kamiran, and M. Pechenizkiy · 2009
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Classifying without discriminating
F. Kamiran and T. Calders · 2009
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Integrating induction and deduction for finding evidence of discrimination
D. Pedreschi, S. Ruggieri, and F. Turini · 2009
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Toward a coherent test for disparate impact discrimination
J. L. Peresie · 2009
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Ricci v. DeStefano
Supreme Court of the United States · 2009
Cited alongside, same era.
Three naive bayes approaches for discrimination-free classification
T. Calders and S. Verwer · 2010
Cited alongside, same era.
Fairness aware learning through regularization approach
T. Kamishima, S. Akaho, and J. Sakuma · 2011
Cited alongside, same era.
k-nn as an implementation of situation testing for discrimination discovery and prevention
B. T. Luong, S. Ruggieri, and F. Turini · 2011
Cited alongside, same era.
Did the results of promotion exams have a disparate impact on minorities? Using statistical evidence in Ricci v. DeStefano
W. Miao · 2011
Cited alongside, same era.
On the statistical consistency of algorithms for binary classification under class imbalance
A. Menon, H. Narasimhan, S. Agarwal, and S. Chawla · 2013
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A multidisciplinary survey on discrimination analysis
A. Romei and S. Ruggieri · 2013
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Learning fair representations
R. Zemel, Y. Wu, K. Swersky, T. Pitassi, and C. Dwork · 2013
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M.-J. Zhao, N. Edakunni, A. Pocock, and G. Brown · 2013
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Big data’s disparate impact
S. Barocas and A. D. Selbst · 2014
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Understanding simpson’s paradox
J. Pearl · 2014
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Fairness through awareness
C. Dwork, M. Hardt, T. Pitassi, O. Reingold, and R. Zemel · 2012
Cited alongside, same era.
Fairness-aware classifier with prejudice remover regularizer
T. Kamishima, S. Akaho, H. Asoh, and J. Sakuma · 2012
Cited alongside, same era.
A study of top-k measures for discrimination discovery
D. Pedreschi, S. Ruggieri, and F. Turini · 2012
Cited alongside, same era.
Big data: seizing opportunities, preserving values
J. Podesta, P. Pritzker, E. J. Moniz, J. Holdren, and J. Zients · 2014
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Civil rights principles for the era of big data
The Leadership Conference · 2014
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No one in control: The algorithms that run our lives
H. Hodson · 2015
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