Document Type
Response or Comment
Publication Date
Spring 4-30-2026
Abstract
This Comment explores the growing tension between innovation and accountability in the use of Artificial Intelligence (“AI”) in hiring. As employers increasingly rely on AI-driven screening tools, concerns over algorithmic bias and hidden discrimination have sparked both litigation and regulatory action. Using Mobley v. Workday, Inc. as a lens, this Comment examines the expanding scope of liability for both employers and AI vendors. It then compares emerging regulatory frameworks across the United States and European Union. This Comment concludes that Colorado’s approach to AI regulation stands out as the most com-prehensive model, offering a clearer path to reducing discrimination while preserving the benefits of AI in modern hiring practices.
Repository Citation
Yamakawa, Pasqualle and Reid, Amber, "An Examination of Regulatory Approaches to Artificial Intelligence in Hiring Practices" (2026). LLR Forum. 1.
https://digitalcommons.lmu.edu/llr_forum/1
