Demographics and discussion influence views on algorithmic fairness

Women and men, morality and ethics

L. M. Dawson · 1995

Earlier work this paper cites.

Should Blacks Represent Blacks and Women Represent Women? A Contingent “Yes”

J. Mansbridge · 1999

Earlier work this paper cites.

Gender Differences in Perceptions of Discrimination. Barriers to Women’s Career Progression: A Review of the Literature

S. Loughlin · 2000

Earlier work this paper cites.

Gender-related differences in moral judgments

M. Fumagalli, R. Ferrucci, F. Mameli, S. Marceglia, S. Mrakic-Sposta, S. Zago, C. Lucchiari, D. Consonni, F. Nordio, G. Pravettoni, et al · 2010

Earlier work this paper cites.

Fairness through awareness

C. Dwork, M. Hardt, T. Pitassi, O. Reingold, and R. Zemel · 2012

Earlier work this paper cites.

Comparing Google Consumer Surveys to existing probability and non-probability based internet surveys

P. McDonald, M. Mohebbi, and B. Slatkin · 2012

Earlier work this paper cites.

Disparities in STEM employment by sex, race, and Hispanic origin

L. C. Landivar · 2013

Earlier work this paper cites.

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

Earlier work this paper cites.

The social dilemma of autonomous vehicles

J.-F. Bonnefon, A. Shariff, and I. Rahwan · 2016

Cited alongside, same era.

Fair prediction with disparate impact: A study of bias in recidivism prediction instruments

A. Chouldechova · 2016

Cited alongside, same era.

Artificial intelligence has a “sea of dudes” problem

J. Clark · 2016

Cited alongside, same era.

A computer program used for bail and sentencing decisions was labeled biased against blacks. It’s actually not that clear

S. Corbett-Davies, E. Pierson, A. Feller, and S. Goel · 2016

Cited alongside, same era.

Artificial intelligence’s white guy problem

K. Crawford · 2016

Cited alongside, same era.

The case for process fairness in learning: Feature selection for fair decision making

N. Grgić-Hlača, M. B. Zafar, K. P. Gummadi, and A. Weller · 2016

Engaging the ethics of data science in practice

S. Barocas and D. Boyd · 2017

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Algorithmic decision making and the cost of fairness

S. Corbett-Davies, E. Pierson, A. Feller, S. Goel, and A. Huq · 2017

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Human decisions and machine predictions

J. Kleinberg, H. Lakkaraju, J. Leskovec, J. Ludwig, and S. Mullainathan · 2017

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Inherent trade-offs in the fair determination of risk scores

J. Kleinberg, S. Mullainathan, and M. Raghavan · 2017

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On fairness and calibration

G. Pleiss, M. Raghavan, F. Wu, J. Kleinberg, and K. Q. Weinberger · 2017

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Human perceptions of fairness in algorithmic decision making: A case study of criminal risk prediction

N. Grgić-Hlača, E. M. Redmiles, K. P. Gummadi, and A. Weller · 2018

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