AI Bias in Employment Decisions: How to Spot, Assess, and Manage Algorithmic Dis

$45

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AI Bias in Employment Decisions: How to Spot, Assess, and Manage Algorithmic Dis
About the Program

This program 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. Presenters 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, and 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.

Speaker(s)
Paul White

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Resolution Economics

Paul F. White, Ph.D., is a Partner at Resolution Economics, LLC, bringing extensive expertise in labor economics and statistical methods to employment discrimination matters, including compensation, hiring, promotion, and termination cases across EEOC investigations, OFCCP compliance, AI bias audits, FLSA wage and hour disputes, and economic damages in single-plaintiff, multi-plaintiff, and class action contexts. He has also conducted analyses spanning mutual fund trading practices, voting rights, asbestos exposure, and prescription drug pricing, and has served as an adjunct faculty member at Florida State University’s graduate school. Dr. White has published in the Journal of Forensic Economics and the Journal of Applied Business Research while regularly presenting to legal, human resources, and economics audiences. Dr. White has testified extensively in federal, state, and local courts.

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Gurkan Ay

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Resolution Economics

Dr. Gurkan Ay is a Director in Resolution Economics’ Washington, D.C. office, where he specializes in economic and statistical analysis of employment discrimination class actions, pay equity monitoring, housing discrimination cases, and financial fraud investigations, with particular expertise in AI governance and adverse impact analyses of automated decision tools. He brings deep experience in complex data analytics across healthcare, FinTech, and telecommunications, and has previously advised clients in retail, manufacturing, and public administration on class action certification, settlement negotiations, and damage calculations at ERS Group, as well as state tax apportionment and labor force modeling at American Economics Group.

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Kacey Riccomini

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Thompson Coburn LLP

Kacey Riccomini is a Partner in Thompson Coburn’s Los Angeles office focusing in the area of employment litigation. Kacey leads complex litigation that is practical and consistent with her clients’ business goals and strategic objectives. She represents clients in state, federal and appellate courts as well as before various dispute resolution agencies. She has prevailed in state and federal courts at all stages of litigation, including trial, and has successfully arbitrated and mediated numerous cases before the AAA and other dispute resolution agencies.

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Accreditation
Credit Hours:
1.00
Specialty Area:
None
Credit Type:
General
Original Air Date:
June 10, 2026
Accredited in:
California

You may be able to self apply for credits in states not listed. Email for accreditation information in your state.

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