How to Navigate AI and Ad Tech Regulation in Canada

Artificial intelligence is now deeply embedded in modern advertising ecosystems, shaping how audiences are segmented, targeted, and measured across digital platforms. From automated media buying and content generation to real-time optimization and performance reporting, AI-driven tools are transforming how marketing operates at scale. For legal teams, the central question is no longer whether AI is being used—but how it is governed, documented, and controlled.

This session examines AI in advertising through a Canadian legal and regulatory lens, focusing on the intersection of privacy law, competition law, advertising standards, and consumer protection frameworks. Participants will explore how algorithmic targeting, automated decision-making, and data activation practices create legal exposure and accountability challenges for organizations.

With a strong emphasis on practical application, the webinar equips attendees to assess vendor risk, structure internal governance, and advise business stakeholders in a rapidly evolving ad tech environment. The goal is to support defensible, compliant, and transparent use of AI in advertising operations.

Key Topics Discussed:

• AI applications across advertising workflows (targeting, media buying, optimization, reporting)
• Algorithmic targeting and automated decision-making systems
• Canadian privacy law implications for data-driven advertising
• Competition law considerations in ad tech ecosystems
• Advertising standards and consumer protection obligations
• Vendor risk assessment and third-party AI tools
• Internal governance and oversight structures for AI use
• Documentation and accountability in automated marketing systems
• Managing legal exposure in evolving ad tech environments