Privacy, Data Protection, and AI Surveillance in Regulated Industries: When Your Model Knows Too Much

By nature, AI systems consume vast amounts of data, which often includes personal and sensitive information. What happens when models memorize training data? When automated profiling violates user expectations? When secondary uses conflict with purpose limitation? While there are various data privacy laws around the United States, regulation currently struggles to address the unique challenges AI presents around consent, disclosure, deletion rights, and data minimization. These issues pose challenges for attorneys counseling clients in all industries that collect and maintain personal data on their customers.

In part two of LexisNexis’ Emerging Issues in AI and the Law webinar series, Fenwick partner Ana Razmazma will join a panel discussing Privacy, Data Protection, and AI Surveillance in Regulated Industries.

This session will cover topics including:

• Purpose limitation and secondary use violations
• Model memorization and reproduction of personal data
• Opt-out mechanisms for AI profiling and automated decisions
• Rights of access, deletion, and data minimization in AI contexts
• Emerging privacy regulations targeting AI systems