Tuesday, October 15th, 2024 1:00 – 2:00 pm EST

Organizations using AI-based technologies that perform facial recognition or other facial analysis, website advertising, profiling, automated decision making, educational operations, clinical medicine, generative AI, and more, increasingly face the risk of being targeted by class action lawsuits and government enforcement actions.  These actions typically allege that organizations improperly obtained, disclosed, and misused personal data of website visitors, employees, customers, students, patients, and others, or that they infringed copyrights, fixed prices, and more.  These disputes often seek millions or billions of dollars against businesses of all sizes.

This webinar identifies recent trends in such varied, but similar AI litigation, draws common threads, and discusses best practices that corporate counsel should consider to mitigate AI litigation risk, including: adding or updating arbitration clauses to mitigate the risks of mass arbitration; establishing an AI Committee; collaborating with IT, cybersecurity, and risk/compliance departments and outside advisors to identify and manage AI risks; and updating notices to third parties and vendor agreements.

Credits: 1.0 IL CLE ; 1.0 CA CLE; 1.0 NJ CLE; 1.0 NY CLE; 1.0 PA CLE; 1.0 HRCI; 1.0 SHRM (Other states may be available for CLE credits upon request)