Dark Patterns: How They Are Used and Regulated on the AI-Driven Web

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King Hall, Room 1301

REGISTER HERE for Livestream. MCLE credits available. No registration fee.

Dark patterns are commonly understood as user interface designs crafted to manipulate people into making choices they wouldn’t otherwise make. But the harms they cause go beyond nudging consumers to buy something they don’t want or need; these designs can coax people into divulging deeply private information that can be used against them. This threat is supercharged by AI-generated, bespoke interfaces, capable of tailoring manipulation to an individual’s specific vulnerabilities in real time. We will examine how the California Consumer Privacy Act and its accompanying regulations attempt to grapple with this problem, where that approach runs into trouble, and what paths forward might actually work.

Jon Fernandez joined Etched, Inc., as Counsel in July 2026. The San Jose company builds frontier inference clusters, a new category of AI hardware. Previously, he was an associate at Skadden for two years. He holds a J.D. from Harvard Law School and a B.A. in Philosophy and Political Science from UC Davis.

Lunch provided. Presented by the Center for Innovation, Law, and Society.

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