Big Data and Artificial Intelligence: New Challenges for Workplace Equality

16 Pages Posted: 26 Dec 2018

See all articles by Pauline Kim

Pauline Kim

Washington University in St. Louis - School of Law

Date Written: December 5, 2018

Abstract

This essay contains remarks delivered in a keynote speech at the University of Louisville Brandeis School of Law’s 35th Annual Carl A. Warns and Edwin R. Render Labor and Employment Law Institute. Big data and artificial intelligence are increasingly being used by employers in their human resources processes in ways that control access to employment opportunities. This essay describes some of those developments and explains how practices like targeted online recruitment strategies and the use of hiring algorithms to screen applicants raise a significant risk of discriminating against protected groups such as women and racial minorities. It then considers some of the challenges these technologies pose for existing anti-discrimination law and suggests ways that the law should be interpreted to address these new threats to workplace equality.

Keywords: big data, artificial intelligence, employment discrimination, inequality, workplace equality

Suggested Citation

Kim, Pauline, Big Data and Artificial Intelligence: New Challenges for Workplace Equality (December 5, 2018). University of Louisville Law Review, Forthcoming, Available at SSRN: https://ssrn.com/abstract=3296521

Pauline Kim (Contact Author)

Washington University in St. Louis - School of Law ( email )

Campus Box 1120
St. Louis, MO 63130
United States
314-935-8570 (Phone)
314-935-5356 (Fax)

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