Govern · Chapter 7
AI risk, privacy, and policy in Canada
Canada has no general AI statute in force. That fact is widely misunderstood to mean AI is unregulated here, which is wrong and expensive to believe. Privacy law applies in full, the Privacy Commissioner has published specific guidance for generative AI, and the obligations attach to your business regardless of which vendor's tool does the processing.
This chapter is general information, not legal advice. It summarises public guidance from the Office of the Privacy Commissioner of Canada and the status of federal legislation as of 3 September 2026. Obligations vary by province, sector, and circumstance. Have a lawyer review anything material to your business.
Key takeaways
- 01Canada has no in-force general AI statute as of September 2026. Bill C-27, which contained the proposed AI and Data Act, died when Parliament was prorogued on 6 January 2025.
- 02PIPEDA still applies in full. The absence of an AI law does not create an exemption for anything involving personal information.
- 03The Privacy Commissioner has published nine principles for generative AI, covering legal authority and consent, necessity, openness, accountability, and safeguards.
- 04Output about an identifiable person counts as a collection of personal information under that guidance, which means it needs legal authority.
- 05Cybersecurity and privacy concerns were the most cited barrier to AI use in Canada at 13.4 percent, ahead of cost at 10.6 percent.
Where Canadian AI law actually stands
Canada's attempt at a general AI statute was the Artificial Intelligence and Data Act, introduced as part of Bill C-27, the Digital Charter Implementation Act, 2022. That bill died on the Order Paper when Parliament was prorogued on 6 January 2025, without receiving Royal Assent. Prorogation ends a parliamentary session and terminates every bill that has not yet passed, so the proposed act ceased to exist rather than being paused.
As of 3 September 2026 there is no in-force general AI statute in Canada. This is the point at which a lot of business writing goes wrong, in both directions. Some treats AIDA as though it were law and describes compliance obligations that do not exist. Some concludes that AI is unregulated in Canada and that nothing applies, which is the more dangerous error.
What applies is everything that already applied. PIPEDA governs how private-sector organisations collect, use, and disclose personal information in the course of commercial activity, and it is indifferent to the technology doing the processing. Employment law, consumer protection, human rights legislation, and sector regulation are similarly unaffected by the absence of an AI-specific act. The practical consequence is that a small business has real obligations today, and they are mostly privacy obligations.
The Privacy Commissioner's nine principles
On 7 December 2023 the Office of the Privacy Commissioner of Canada, with provincial counterparts, published principles for responsible, trustworthy and privacy-protective generative AI technologies. There are nine: legal authority and consent, appropriate purposes, necessity and proportionality, openness, accountability, individual access, limiting collection use and disclosure, accuracy, and safeguards.
Two of them do most of the work for a small business. The first is legal authority and consent: where consent is your basis for handling personal information, the guidance requires it to be valid and meaningful, as specific as possible, and free of deceptive design patterns. Adding a line about AI processing to a long terms update is unlikely to satisfy that.
The second is the point most businesses miss entirely. The guidance states that inferring information about an identifiable individual, including outputs about a person produced by a generative AI system, is considered a collection of personal information and therefore requires legal authority. In plain terms: if you use AI to draw a conclusion about a named customer or employee, you have collected personal information about them, even though you gathered nothing new from the person. Anything that scores, profiles, or ranks individuals sits inside this.
The one-page policy
For a business under 50 people, one page is enough and much better than the alternative most have, which is nothing. Statistics Canada found cybersecurity and privacy concerns were the most cited barrier limiting AI use in Canada at 13.4 percent, ahead of cost at 10.6 percent, so this is the constraint owners worry about most. A short written rule resolves the majority of it.
Approved tools
Name the specific tools and tiers people may use for work. An unlisted tool is not approved. This single line prevents most accidental exposure, because it converts an open question into a closed list.
Never enter this
Customer personal information, employee records, health or financial details, anything under a confidentiality agreement, and unreleased commercial information. State it as a list, not a principle, so nobody has to interpret it.
A person checks before a customer sees it
Any output that reaches a customer, a regulator, or a public channel is reviewed by a named person first. This is the control that prevents a confidently wrong answer becoming a public problem.
Ask when unsure
Name the person to ask and make it explicit that asking is expected rather than a nuisance. The alternative is staff guessing quietly, which is how a policy fails without anyone noticing.
Say when AI was involved
Decide where you disclose AI use to customers and be consistent. Openness is one of the Privacy Commissioner's nine principles, and it is easier to hold a clear line than to explain an inconsistent one later.
Write it, send it once, and mention it when someone joins. The failure mode for small-business AI policy is not a badly drafted document; it is a document nobody was ever shown. Most exposure comes from a helpful employee pasting something into a tool without realising it mattered.
The four risks worth planning for
Confidently wrong output reaching a customer. AI systems produce fluent, plausible, incorrect answers, and fluency makes errors harder to spot than in human work. Keep a person between the output and the customer wherever being wrong would be costly.
Personal information leaving through a consumer tool. This is the most common real incident in small businesses and it is almost never malicious. It is someone trying to work faster. The written list of what may not be pasted is the control.
Over-reliance. When a tool does a task for long enough, the skill to check it decays. Keep enough people able to do the work manually that you can still recognise a bad output and still operate if the tool is unavailable.
Vendor dependency. A system only one provider can operate is a commercial exposure as much as a technical one. Ask what happens if you leave, and make sure you hold the configuration, the documentation, and the data.
Read this before you start building
Privacy questions are cheapest to answer before a project starts. If you are about to begin, the 90 day roadmap puts this check in the first two weeks. If you have not chosen a task yet, the use cases chapter flags which functions carry personal information and which do not.
Frequently asked questions
Is there an AI law in Canada?+
There is no in-force general AI statute in Canada as of September 2026. The proposed Artificial Intelligence and Data Act was part of Bill C-27, which died on the Order Paper when Parliament was prorogued on 6 January 2025 without the bill receiving Royal Assent. Sector regulators and existing law still apply, so the absence of an AI-specific statute is not an absence of rules.
Does PIPEDA apply to AI tools?+
Yes. PIPEDA governs how private-sector organisations collect, use, and disclose personal information in commercial activity, and it applies regardless of which software does the processing. Putting a customer's personal information into an AI tool is a use or disclosure of that information and carries the same obligations as any other handling of it.
What does the Privacy Commissioner say about generative AI?+
The Office of the Privacy Commissioner published principles for responsible, trustworthy and privacy-protective generative AI technologies on 7 December 2023. They cover legal authority and consent, appropriate purposes, necessity and proportionality, openness, accountability, individual access, limiting collection, accuracy, and safeguards. The guidance states that generative AI does not sit outside existing legislative frameworks.
Is AI output about a person considered personal information?+
The Privacy Commissioner's guidance states that inferring information about an identifiable individual, including outputs about a person from a generative AI system, is considered a collection of personal information and requires legal authority. That matters for any use that profiles, scores, or draws conclusions about customers or staff, even when no new data was gathered from the person.
What should never be put into a public AI chatbot?+
Customer personal information, employee records, health details, financial account numbers, material covered by a confidentiality agreement, and unreleased commercial information. The practical control is a written one-page rule listing what may and may not be pasted, distributed before an incident. Most exposure in small businesses comes from a well-meaning employee, not from a deliberate breach.
Do I need an AI policy for my small business?+
A one-page policy is enough for most businesses under 50 people and considerably better than nothing. It should state which tools are approved, what may never be entered into them, who to ask when unsure, and the requirement that a person checks output before it reaches a customer. A long policy nobody reads provides documentation rather than protection.
Can I use AI on customer data if I get consent?+
Consent is one route to legal authority, and the Privacy Commissioner's guidance requires that it be valid and meaningful, as specific as possible, and free of deceptive design patterns. Burying AI processing in a long terms-of-service update is unlikely to meet that standard. If you cannot describe the processing plainly enough for a customer to understand it, the consent is doing less work than you think.
What are the main AI risks for a small business?+
Four recur: confidently wrong output reaching a customer, personal information leaving the business through a consumer tool, over-reliance where nobody retains the skill to check the work, and vendor dependency where the system cannot be operated without one provider. Statistics Canada found cybersecurity and privacy concerns were the most cited barrier to AI use at 13.4 percent, ahead of cost at 10.6 percent.
Is my data used to train the AI provider's models?+
It depends entirely on the tier and the contract, and this differs between the consumer and business versions of the same product. Check the specific terms for the plan you are on rather than the vendor's general marketing, and re-check after any pricing or terms change. If you cannot determine the answer in writing, treat the tool as unsuitable for anything confidential.
Who is liable if AI gives a customer wrong information?+
Your business is answerable to the customer for what your systems tell them; the vendor's terms typically limit the vendor's own liability. This is not legal advice, and a lawyer should review anything material. The practical control is keeping a person between the output and the customer wherever a wrong answer would be costly.
What about AI and employment decisions?+
Avoid using AI to screen, rank, or make decisions about individuals. The reasoning is difficult to audit, errors affect people's livelihoods, and inference about an identifiable individual is a collection of personal information under the Privacy Commissioner's guidance. Drafting job descriptions and summarising policies are safe. Deciding who gets hired or dismissed is not.
Will Canada pass an AI law soon?+
No replacement for the Artificial Intelligence and Data Act had been enacted as of September 2026, and the timing of any future bill is a matter for Parliament rather than something to plan around. The practical position is that existing law, particularly privacy law, already governs most of what a small business would do with AI. Build to that and a future statute is less likely to require rework.
Sources and references
- Statistics Canada: Analysis on artificial intelligence use by businesses in Canada, Q2 2026 (published 11 June 2026)
- Bank of Canada: Canadian businesses' use of AI: What the evidence shows (August 2026)
- MIT Project NANDA: The GenAI Divide: State of AI in Business 2025 (PDF)
- Office of the Privacy Commissioner of Canada: Principles for responsible, trustworthy and privacy-protective generative AI technologies
- Office of the Privacy Commissioner of Canada: PIPEDA in brief
- Parliament of Canada: Bill C-27, Digital Charter Implementation Act, 2022 (died on the Order Paper, 6 January 2025)
Legislative status confirmed against the Parliament of Canada LEGISinfo record for Bill C-27 and the Privacy Commissioner's published guidance on 3 September 2026. Bill C-27 died on the Order Paper on 6 January 2025. The Privacy Commissioner's generative AI principles were published 7 December 2023. Statistics Canada barrier figures are from the Q2 2026 release published 11 June 2026. Legislation changes; re-check these before relying on them.