Advertisement

AI, Ethics, and the Law

  • Cathy O’Neil
Chapter

Abstract

There are several ways in which AI can cause ethical problems in working life. Taking the field of law as an example, there are three key ways in which using algorithmic solutions without careful oversight can cause problems. First, systems can be gamed. Second, by using human data to train on, systems can reproduce human prejudices and bias. Third, prediction algorithms can become self-fulfilling as their effect on reality feeds back to them, producing a loop. Most importantly, though, use of AI tends to stagnate our ethics.

References

  1. Becker, J., & Howard, B. C. (2018). 4 Ways that Law Firms Benefit from Legal Analytics. LexisNexis. Retrieved February 16, 2019, from https://www.americanbar.org/content/dam/aba/events/professional_responsibility/2018_cpr_meetings/2018conf/materials/session1_ethics_issues/session1_all_materials.authcheckdam.pdf
  2. Howgego, J. (2019, January 8). A UK Police Force is Dropping Tricky Cases on Advice of an Algorithm. New Scientist. Retrieved February 16, 2019, from https://www.newscientist.com/article/2189986-a-uk-police-force-is-dropping-tricky-cases-on-advice-of-an-algorithm/
  3. Nakad, H., Jongbloed, T., Herik, H., & Salem, A.-B. M. (2015). Digitally Produced Judgements in Modern Court Proceedings. International Journal for Digital Society, 6, 1102–1112.  https://doi.org/10.20533/ijds.2040.2570.2015.0135.CrossRefGoogle Scholar

Copyright information

© The Author(s) 2020

Authors and Affiliations

  • Cathy O’Neil
    • 1
  1. 1.ORCAANew YorkUSA

Personalised recommendations