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

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.