Fairness Beyond Disparate Treatment & Disparate Impact

Author:

Zafar Muhammad Bilal1,Valera Isabel1,Gomez Rodriguez Manuel1,Gummadi Krishna P.1

Affiliation:

1. Max Planck Institute for Software Systems, Saarbruecken / Kaiserslautern, Germany

Publisher

International World Wide Web Conferences Steering Committee

Reference29 articles.

1. Stop-and-frisk in New York City. https://en.wikipedia.org/wiki/Stop-and-frisk_in_New_York_City. Stop-and-frisk in New York City. https://en.wikipedia.org/wiki/Stop-and-frisk_in_New_York_City.

2. https://www.documentcloud.org/documents/2702103-Sample-Risk-Assessment-COMPAS-CORE.html 2016. https://www.documentcloud.org/documents/2702103-Sample-Risk-Assessment-COMPAS-CORE.html 2016.

3. J. Angwin and J. Larson. Bias in Criminal Risk Scores Is Mathematically Inevitable Researchers Say. https://www.propublica.org/article/bias-in-criminal-risk-scores-is-mathematically-inevitable-researchers-say. J. Angwin and J. Larson. Bias in Criminal Risk Scores Is Mathematically Inevitable Researchers Say. https://www.propublica.org/article/bias-in-criminal-risk-scores-is-mathematically-inevitable-researchers-say.

4. J. Angwin J. Larson S. Mattu and L. Kirchner. Machine Bias: There's Software Used Across the Country to Predict Future Criminals. And it's Biased Against Blacks. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing 2016. J. Angwin J. Larson S. Mattu and L. Kirchner. Machine Bias: There's Software Used Across the Country to Predict Future Criminals. And it's Biased Against Blacks. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing 2016.

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