Adtech, Marketing and Consent in the Era of AI

As AI systems become more embedded in advertising and marketing, they test traditional consent models in new and complex ways. Static opt-ins and one-time notices rarely capture how data is reused, retrained, or inferred across evolving systems. At the same time, expectations from regulators and consumers are moving toward more dynamic and demonstrable approaches to consent management. This interactive workshop explores how enterprises can adapt consent strategies to meet these challenges. Through real-world hypotheticals and multidisciplinary perspectives, participants will examine AI-driven data practices, lawful-basis management, consent-signal design, contextual transparency, and governance approaches that support responsible use of data. The session highlights how regulators are approaching consent in automated processing and personalization, how user-experience choices shape trust and understanding, and how cross-functional teams can align legal, technical, and product practices to demonstrate accountability. Participants will leave with practical tools, adaptable ideas, and frameworks to strengthen consent programs and build future-ready data practices in the AI era.

What you will learn:

• Diagnose hidden AI-driven consent failures before regulators do.
• Redesign flows and notices to keep pace with continuous AI processing.
• Defend your program with regulator-ready, cross-jurisdiction documentation.

Additional registration fee required.