AI in the Boardroom E2 – Not Just for Financial Institutions: What Other Canadian Companies Can Take From the AMF’s AI Guideline | Knowledge

AI in the Boardroom E2 – Not Just for Financial Institutions: What Other Canadian Companies Can Take From the AMF’s AI Guideline | Knowledge

https://www.fasken.com/en/knowledge/2026/06/ai-in-the-boardroom-e2-not-just-for-financial-institutions

Publish Date: 2026-06-23 09:08:00

Source Domain: www.fasken.com

Here is a summarized list of key points from the article:

• Comparative Impact of AI: Just like the discovery of electricity, AI is expected to have a transformative impact, though at a current accelerating pace.

• Adaptation Priority: Companies should prioritize how they adapt to AI, considering both their industry-specific regulations and regulations from other sectors.

• AI Governance Guideline: Quebec’s AMF released a Guideline for AI use, aimed at financial institutions but applicable to AI risk management across various sectors and large Canadian companies.

• Three Key Elements: The Guideline emphasizes (1) a holistic approach to AI governance, (2) a structured risk assessment, and (3) defined responsibility among directors and senior management.

• Holistic Approach: Companies should manage AI risk by identifying, assessing, quantifying, controlling, mitigating, and tracking every AI system and its associated risks.

• Risk Assessment and Rating: Organizations must assign a consistent risk rating to each AI system, using both qualitative and quantitative factors to guide risk management measures.

• Division of Responsibilities: The board provides high-level, continuous oversight with competency requisites, whereas senior management focuses on granular details and the accountability of AI systems.

• Three Recurring Themes: The Guideline stresses AI’s dynamism, the necessity of sufficient AI competency across the organization, and the importance of the proportionality principle.

• Key Takeaways for Boards: The guideline provides a framework that can be applied broadly irrespective of industry, emphasizing rigorous risk management, a continuous and informed oversight approach, and considering the dynamic nature of AI along with proportional governance tailored to company-specific circumstances.