AI and PIPEDA: What Canadian Businesses Need to Know

Last updated June 2026. First published with the Privacy Commissioner's generative-AI principles, the May 2026 OpenAI investigation finding, and the current status of Bill C-27, AIDA, and Quebec Law 25.

AI tools are easy to adopt and easy to misuse. The moment your business feeds customer names, health details, or any other personal information into an AI system, you are squarely inside Canadian privacy law, and most businesses do this without realizing the obligations come along for the ride. This is a plain-English guide to how the law actually applies, anchored to primary sources you can check yourself.

One note before we start: this is general information, not legal advice. Privacy law turns on the specifics of what you collect and why, so treat this as the map, not the territory, and get advice for your situation.

The Short Answer

There is no separate "AI law" in force federally in Canada. The rules that govern business AI use today are the existing privacy rules, chiefly the Personal Information Protection and Electronic Documents Act (PIPEDA), the federal private-sector privacy statute. If your AI use touches personal information, PIPEDA's requirements (consent, limited and appropriate purposes, accountability, and safeguards) apply in full, the same as they would for any other handling of that data.

In practice that means three things: you need a proper basis, usually consent, to use someone's personal information in an AI system; you remain responsible for what the AI does with it, even if a vendor runs the model; and you must protect it, which includes keeping it out of tools that may use it to train public models.

Does PIPEDA Apply to AI?

Yes. PIPEDA applies to the collection, use, and disclosure of personal information in the course of commercial activity by private-sector organizations, and nothing about routing that data through an AI tool changes that. The Privacy Commissioner of Canada has been explicit that existing law governs AI: the office maintains a dedicated privacy and artificial intelligence resource hub to help organizations comply.

Personal information is broad. It includes names, contact details, and identifiers, but also opinions, employee records, and anything that can identify an individual. If any of that goes into a prompt, an uploaded document, a training set, or an AI feature inside your software, PIPEDA is engaged. Quebec, British Columbia, and Alberta also have their own private-sector laws that may apply instead of or alongside PIPEDA, depending on where you operate.

What the Privacy Commissioner Expects

In December 2023, Canada's federal, provincial, and territorial privacy regulators jointly published Principles for responsible, trustworthy and privacy-protective generative AI technologies. The document does not create new law; it explains how the existing privacy principles apply when a business develops, provides, or uses generative AI. The named principles map directly to what PIPEDA already requires:

• Legal authority and consent. Have a lawful basis for collecting and using personal information; where consent is that basis, it must be valid and meaningful.
• Appropriate purposes. Only use personal information for purposes a reasonable person would consider appropriate.
• Necessity and proportionality. Be able to justify that using AI, and the personal information in it, is necessary and proportionate to the goal.
• Openness and accountability. Be transparent about how data is used and the risks, stay accountable for compliance, and be able to explain what the AI does.
• Limiting collection, accuracy, and safeguards. Collect only what you need, keep it accurate, give individuals access to their information, and protect it.

For a small business, the practical reading is simple: you cannot put personal data into an AI tool just because it is convenient. You need a reason that holds up, consent where it applies, and controls around it.

Consent: The Part Most Businesses Get Wrong

Consent is where AI trips businesses up most, because it is tempting to assume that data you already hold can be used for anything. It cannot. Under PIPEDA, consent is generally tied to the purpose you collected the information for. Using customer data for a brand-new AI purpose can require fresh, meaningful consent, because the customer never agreed to that use when they handed the data over.

"Meaningful" matters. Consent has to be informed: people should reasonably understand what you are doing with their information and why. Burying an AI use in dense terms, or relying on the fact that data was once shared for an unrelated reason, is the kind of thing regulators scrutinize. For sensitive information (health, financial, anything that could cause harm if exposed) the bar is higher and express consent is usually expected.

The same logic extends to public AI tools. Pasting a client list or a customer email into a free public chatbot can be both an unauthorized use of that data and a disclosure to a third party, neither of which your customer consented to. Our PIPEDA compliance checklist walks through the consent and safeguard basics in more depth.

A Real Enforcement Example

This is not theoretical. On May 6, 2026, the Privacy Commissioner of Canada and provincial counterparts released the findings of a joint investigation into OpenAI, the maker of ChatGPT. The investigation, published as PIPEDA Findings #2026-002, concluded that OpenAI collected personal information without valid consent and fell short on transparency and accountability, among other findings.

The reason it matters for your business is the principle underneath it: regulators expect that using personal information in AI requires a proper consent footing and real accountability, and that the novelty of the technology is not an excuse. The finding turned on consent, transparency about how data is used, and safeguards for sensitive information, the exact areas a small business has to get right before putting customer data into any AI system.

Practical Steps to Use AI Within PIPEDA

You do not have to avoid AI to stay compliant. You have to use it deliberately. A practical baseline:

• Know what data you are putting in. Before using any AI tool, be clear on whether personal information is involved and how sensitive it is. No personal data, far fewer constraints.
• Set an acceptable-use policy. Tell staff plainly what they may and may not put into AI tools. The most common breach is an employee pasting customer data into a public chatbot without thinking.
• Choose tools that keep your data out of public models. Business and enterprise AI offerings typically commit not to train public models on your inputs. Confirm that contractually rather than assuming it, and check where the data is processed and stored.
• Get consent for new uses. If you want to use customer data for an AI purpose it was not collected for, work out whether you need fresh, meaningful consent, and obtain it.
• Stay accountable and keep records. Document why an AI use is appropriate, what safeguards are in place, and who is responsible. PIPEDA accountability does not transfer to your vendor just because they run the model.
• Mind the safeguards. Access controls, limited retention, and keeping sensitive data out of tools that are not built for it are all part of the obligation.

The unmanaged version of AI, where staff quietly use whatever public tool they like with whatever data is in front of them, is precisely the scenario PIPEDA is least forgiving of. Governance is not bureaucracy here; it is the thing that makes AI safe to use at all.

Quebec Law 25 and the Law-Reform Picture

Two things are worth knowing beyond PIPEDA. First, if you handle the personal information of people in Quebec, Quebec's Law 25 imposes its own, generally stricter, requirements, including transparency obligations around automated decision-making. We cover what that means for businesses outside Quebec in Quebec Law 25 for Ontario businesses.

Second, the federal picture is in flux. Bill C-27 would have replaced PIPEDA with the Consumer Privacy Protection Act and introduced Canada's first dedicated AI statute, the Artificial Intelligence and Data Act (AIDA). That bill died when Parliament was prorogued in January 2025 and has not been re-enacted, so as of June 2026 Canada still operates under PIPEDA with no AI-specific federal law in force. The direction of travel, though, is clearly toward stricter privacy rules and explicit AI regulation, so building good habits now is the safe bet. We track what is coming in our Bill C-27 readiness guide.

When to Get Help

If your business handles sensitive personal information (a clinic, a law firm, a financial practice) the safest path is to get the privacy and security footing right before you adopt AI, not after. The cost of a misstep here is not a subscription fee; it is a complaint, an investigation, and lost trust.

This is exactly the gap managed AI is built to close: AI fitted to your business with governance, access controls, and Canadian privacy compliance built in, and your data kept out of public models, rather than left to chance. If you want to check where your privacy posture stands before adding AI, our PIPEDA readiness tool is a free place to start. And if you would rather just talk it through, we are glad to, with no obligation.