In AI We Trust: Building Confidence and Accountability in Canada's AI Future

As the pace of artificial intelligence innovation accelerates, the need for ethical oversight becomes increasingly urgent. While comprehensive, standalone AI legislation in Canada may still be several years away due to the necessary consultations and evolving international standards. Privacy reform presents a timely and practical opportunity to address key ethical AI concerns. This session will explore how reformed laws, specifically the Consumer Privacy Protection Act, Quebec’s Law 25, and Ontario’s Enhancing Digital Security and Trust Act may serve as a foundational framework for AI governance, particularly in the absence of dedicated AI legislation. Panelists will examine how privacy law, grounded in human rights principles, can address pressing AI-related risks such as bias, discrimination, lack of transparency and fairness. The discussion will focus on how transparency requirements, risk assessments, consent and right to know or object provisions under a modern privacy regime may provide meaningful regulation of AI systems in the interim. The panel will also provide compliance-oriented insights for companies or institutions seeking to align with emerging ethical AI standards under an updated privacy framework.

What you will learn:

• How Quebec’s Law 25, Ontario’s Bill 194 and an updated federal CPPA may function as an effective mechanism for managing ethical AI risks.

• How fairness, accountability and anti-discrimination principles can be integrated into privacy compliance strategies.

• Actionable insights on how companies and institutions can prepare for and implement AI under a reformed privacy regime.