Scholarship@WashULaw
Document Type
Article
Publication Date
2021
Publication Title
ABA Journal of Labor & Employment Law
Abstract
Employers are increasingly relying on artificially intelligent (AI) systems to recruit, select, and manage their workforces, raising fears that these systems may subject workers to discriminatory, invasive, or otherwise unfair treatment. This article reviews those concerns and provides an overview of how current laws may apply, focusing on two particular problems: discrimination on the basis of protected characteristics like race, sex, or disability, and the invasion of workers’ privacy engendered by workplace AI systems. It discusses the ways in which relying on AI to make personnel decisions can produce discriminatory outcomes and how current law might apply. It then explores how these data-driven systems may threaten workers’ interests in privacy and autonomy, and considers the extent to which existing legal frameworks address these concerns. Finally, it briefly describes the European Union’s much more restrictive regime of data protection as a useful comparator. This article argues that the growing use of AI at work raises significant policy concerns about discrimination, privacy, and autonomy that are not adequately addressed by current U.S. law.
Keywords
Artificial Intelligence, AI, Employment Discrimination, Inequality, Decision-Making, Privacy
Publication Citation
Pauline Kim & Matthew T. Bodie, Artificial Intelligence and the Challenges of Workplace Discrimination and Privacy, 35 A.B.A. J. Lab. & Emp. L. 289 (2021)
Repository Citation
Kim, Pauline and Bodie, Matthew T., "Artificial Intelligence and the Challenges of Workplace Discrimination and Privacy" (2021). Scholarship@WashULaw. 434.
https://openscholarship.wustl.edu/law_scholarship/434
Included in
Civil Rights and Discrimination Commons, Computer Law Commons, Labor and Employment Law Commons, Legal Studies Commons, Privacy Law Commons