Episode
AI Bias in Employment Decisions: How to Spot, Assess, and Manage Algorithmic Discrimination Claims
- Published
- Jul 24, 2026
- Duration seconds
- 3963
- Processing state
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- https://rss.com/podcasts/cle-you-actually-want-to-hear/2908318
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Summary
Gurkan Ay, PhD, Director at Resolution Economics, Paul F. White, PhD, Partner at Resolution Economics, and Kacey R. Riccomini of Thompson Coburn LLP will break down how AI-based tools used in hiring, performance evaluation, and compensation create discrimination risk under Title VII, the ADA, the ADEA, and a growing body of state laws including NYC Local Law 144 and California's Title 2 regulations. Gurkan and Paul will draw on real-world examples — driver monitoring systems, applicant assessment tools, call sentiment analysis — to explain how bias audits work and what disparate impact looks like in practice, while Kacey will connect that analysis to the litigation and compliance questions attorneys are most likely to face on behalf of business clients. Attorneys will leave with a working understanding of how algorithmic discrimination claims develop, what the data actually shows, and how to advise clients on managing AI-related risk before it becomes a lawsuit. Audio versions of Beverly Hills Bar Association programs are eligible for Self-Study CLE credit in California. Visit www.bhba.org/podcasts for more information.