Executive summary
Canada has no binding horizontal AI law as of mid-2026. A proposed bill (Bill C‑27, AIDA) was tabled in 2022 but lapsed when Parliament dissolved. The government instead is building AI governance through multiple channels. The Federal Treasury Board introduced a new Directive on Automated Decision-Making (June 2025) that mandates risk-based AI assessment, peer review, and transparency for government systems. Privacy protection under PIPEDA remains the main legal framework for AI in the private sector. The Privacy Commissioner and provincial counterparts have issued generative-AI principles and have opened investigations (e.g. OpenAI) signaling enforcement of existing laws. In September 2023, ISED published a Voluntary Code of Conduct for advanced generative AI, outlining accountability, safety, fairness, and transparency measures. This code has many industry signatories, but “does not change existing legal obligations” (e.g. under PIPEDA). To operationalize the code, ISED also issued an implementation guide for managers of AI systems (non-binding). The government has launched strategic initiatives as well: in June 2026 it unveiled AI for All, a $2 billion national AI strategy focusing on trustworthy adoption, opportunity, and sovereignty. This strategy aims for 250,000 new AI jobs and modernized legislation (including stronger privacy/protection rules and an AI safety institute). Major policy signals: Key active initiatives include: Proposed AI/data legislation: Bill C‑27 (AIDA) remains proposed/historical, not law. Privacy reform: Bill C‑36 (2026) is pending, possibly revising PIPEDA for AI contexts. Federal ADPM Directive (2025): Binding for public service; requires AI risk assessments (AIA) and published peer reviews for high-impact systems. AI safety: Budget 2026 funded a Canadian AI Safety Institute. OPC and co-regulators emphasize strong privacy/ethical guardrails for AI. Voluntary AI code: The GenAI Code of Conduct and guide (2023) set voluntary best practices (accountability, fairness, etc.) for developers. Compute/infra: Budget 2024 earmarked $2 billion for AI compute infrastructure, including a $700M Compute Challenge (private sector data centres), $1B public supercomputers, and a $300M access fund. National strategy: “AI for All” (2026) sets long-term goals (AI jobs, adoption, trust) and supports education, standards, and global partnerships.
