Briefing · Privacy & Safety

AI Privacy Rules in Canada: a plain-English guide

Updated June 2026 ·6 min read ·By Canada AI for All

AI is moving fast, but Canada's privacy rules still apply to every tool you use. Before you connect customer data to an AI system, here's what actually governs you in 2026 — without the legalese.

PIPEDA is still the main rulebook

For most private-sector organizations, the key law is PIPEDA — the Personal Information Protection and Electronic Documents Act. It governs how businesses collect, use, and share personal information. AI doesn't get an exemption: if your tool processes customers' personal data, PIPEDA's principles (consent, limiting use, safeguarding data, accountability) still apply. The Office of the Privacy Commissioner (OPC) publishes specific guidance on AI and privacy.

What happened to AIDA?

You may have heard of the Artificial Intelligence and Data Act (AIDA), proposed as part of Bill C-27. That bill died when Parliament was prorogued in early 2025, so AIDA is not currently law. Instead of one big AI statute, the federal government has signalled it will manage AI mainly through privacy law, policy, and targeted investment — which is exactly why PIPEDA matters so much right now.

Don't wait for a perfect law. The absence of AIDA does not mean "anything goes." Existing privacy law, consumer-protection rules, and sector regulators already cover a lot of AI use — and provinces are advancing their own rules.

The voluntary code of conduct

In the gap left by AIDA, Canada introduced a Voluntary Code of Conduct on the Responsible Development and Management of Advanced Generative AI Systems. It's voluntary, but it's a useful checklist of expectations — accountability, safety, fairness, transparency, human oversight, and robustness — that increasingly shape what customers, partners, and procurement teams expect.

Provincial rules are tightening too

Privacy and AI aren't only federal. Several provinces have their own privacy laws and government AI frameworks. If you operate in Quebec, B.C., Alberta, or Ontario, check provincial rules as well — our government resources directory links to the official pages.

Practical steps before you deploy AI

  • Map your data. Know what personal information the AI tool will touch, and whether you actually need it.
  • Keep sensitive data in Canada where you can. For confidential or regulated information, on-premise or Canadian-hosted ("local") AI reduces both legal and reputational risk.
  • Be transparent. Tell people when AI is involved in decisions that affect them, and keep a human in the loop for anything significant.
  • Write it down. A short, honest record of what the system does, what data it uses, and who's accountable will save you later — and it mirrors the voluntary code.
Not legal advice: this guide is general information, not legal advice. For decisions with real risk, confirm the current rules on the official sources above and consult a qualified privacy professional.
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