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It's not the algorithm, it's the data

Published:23 January 2017Publication History
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Abstract

In risk assessment and predictive policing, biased data can yield biased results.

References

  1. Starr, S. B. Evidence-Based Sentencing and the Scientific Rationalization of Discrimination (September 1, 2013). Stanford Law Review, Forthcoming; U of Michigan Law & Econ Research Paper No. 13-014. Available at SSRN: http://ssrn.com/abstract=2318940Google ScholarGoogle Scholar
  2. New York State COMPAS-Probation Risk and Need Assessment Study: Examining the Recidivism Scale's Effectiveness and Predictive Accuracy https://www.ncjrs.gov/App/Publications/abstract.aspx?ID=269445Google ScholarGoogle Scholar
  3. Wisconsin v. Loomis July 2016 Decision: https://www.wicourts.gov/sc/opinion/DisplayDocument.pdf?content=pdf&seqNo=171690 Statistics on Non-Reported Crime:Google ScholarGoogle Scholar
  4. Truman, J. and Langton, L. Criminal Victimization. September 29, 2015. U.S. Department of Justice. http://www.bjs.gov/content/pub/pdf/cv14.pdf.Google ScholarGoogle Scholar

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  1. It's not the algorithm, it's the data

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      • Published in

        cover image Communications of the ACM
        Communications of the ACM  Volume 60, Issue 2
        February 2017
        106 pages
        ISSN:0001-0782
        EISSN:1557-7317
        DOI:10.1145/3042068
        • Editor:
        • Moshe Y. Vardi
        Issue’s Table of Contents

        Copyright © 2017 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 23 January 2017

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