As the European Union finalizes its AI Act, countries worldwide—including Canada—are evaluating how their existing laws and proposals measure up. While Canada hasn’t enacted a comparable law yet, it is actively shaping its AI governance strategy through bills like the proposed Artificial Intelligence and Data Act (AIDA).
In a detailed comparative analysis, McMillan LLP explores how Canada’s current and emerging legal framework addresses AI risks and responsibilities in light of the EU’s regulatory model.
🌐 Key Highlights from the Comparative Overview:
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Shared Risk-Based Approach
Like the EU AI Act, Canada’s proposed AIDA also categorizes AI systems based on risk levels, targeting high-risk applications with stricter compliance measures. -
Privacy-First Principles
Canada’s framework builds on existing privacy legislation (PIPEDA and provincial laws), focusing heavily on consent, data governance, and accountability. -
Focus on Transparency and Human Oversight
Both jurisdictions emphasize clear documentation, explainability of AI outputs, and human intervention in decision-making processes. -
Regulatory Landscape Still in Development
While Canada’s proposals are conceptually aligned with the EU model, several questions remain around enforcement, oversight bodies, and technical standards.
This side-by-side comparison provides valuable context for multinational organizations operating in both jurisdictions or preparing to scale their AI systems globally.
For tailored legal guidance on aligning your AI systems with both Canadian and international regulatory standards, contact McMillan LLP directly—or get in touch via PrivacyRules and we’ll connect you with the right expertise.