AI Acceptable Use Policy (Canada)

An AI Acceptable Use Policy in Canada sets the rules for permitted use of the organisation’s systems, networks, or services, governed primarily by common-law and provincial employment principles.

The primary legal framework governing AI use in Canadian workplaces comes from privacy legislation. The federal Personal Information Protection and Electronic Documents Act (PIPEDA, S.C. 2000, c. 5) governs the collection, use, and disclosure of personal information by federally regulated private-sector organizations and, through its substantial similarity provisions, by privately regulated organizations in most provinces. PIPEDA's ten fair information principles (Schedule 1) include accountability, identifying purposes, consent, limiting collection, limiting use/disclosure/retention, accuracy, safeguards, openness, individual access, and challenging compliance. When employees input personal information — customer data, employee records, client communications, health information — into AI tools operated by third-party providers (such as OpenAI, Google, Microsoft, or Anthropic), that input constitutes a disclosure of personal information to a third party, potentially requiring consent and a data processing agreement.

Quebec's Act respecting the protection of personal information in the private sector (RLRQ, c. P-39.1), as amended by Law 25 (Bill 64, in force since September 22, 2023), is the most demanding privacy law in Canada and imposes specific requirements relevant to AI use. Section 12 of the amended Act requires that organizations conduct a Privacy Impact Assessment (PIA) before implementing a new technology project that involves the processing of personal information — AI deployments that process personal data clearly fall within this requirement. Section 12.1 requires transparency when a decision based exclusively on automated processing (such as an AI recommendation engine) is communicated to an individual and significantly affects their rights. Organizations subject to Quebec Law 25 must consider these requirements when drafting AI use policies.

The Canadian Human Rights Act (R.S.C., 1985, c. H-6) and provincial human rights codes — including the Ontario Human Rights Code (R.S.O. 1990, c. H.19), BC Human Rights Code (R.S.B.C. 1996, c. 210), and Alberta Human Rights Act (R.S.A. 2000, c. A-25.5) — prohibit discrimination in employment on the basis of protected grounds including race, sex, age, disability, and sexual orientation. AI tools trained on biased historical data may produce recommendations or decisions that have a disparate adverse impact on protected groups — for example, an AI resume screening tool that reflects historical hiring biases could constitute systemic discrimination if used without oversight. An AI Acceptable Use Policy that requires human review of AI-assisted employment decisions protects against human rights liability.

Canada's proposed Artificial Intelligence and Data Act (AIDA, Part 3 of Bill C-27) would impose risk-based obligations on developers and deployers of high-impact AI systems, including requirements for impact assessments, risk mitigation measures, transparency, and incident reporting. Although AIDA had not yet been enacted as of March 2026, organizations drafting AI Acceptable Use Policies should design them to be compatible with AIDA's anticipated requirements, particularly the high-impact system thresholds and the requirement that automated decisions affecting individuals be explainable.

A Canadian AI Acceptable Use Policy is needed whenever a Canadian organization's employees have access to and are using AI tools in connection with their work — a condition that now applies to virtually every Canadian organization with internet-connected employees.

Organizations handling personal information of customers, employees, or clients under PIPEDA or Quebec Law 25 need an AI policy to prevent employees from inputting regulated personal information into AI tools without appropriate safeguards. The Office of the Privacy Commissioner of Canada (OPC) has issued guidance noting that individuals who use ChatGPT and similar tools for work purposes may unknowingly create privacy risks, and the OPC is actively investigating privacy complaints related to generative AI use.

Legal, accounting, medical, and financial services firms whose professionals handle client confidential information need an AI policy that addresses how confidentiality obligations interact with AI tools. The Law Society of Ontario, Chartered Professional Accountants of Canada (CPA Canada), and the Canadian Medical Association have each issued guidance on AI use that references confidentiality obligations — a formal AI policy operationalizes this guidance at the firm level.

Organizations that create content, marketing materials, or public communications using AI tools need an AI policy that addresses copyright risks. The Copyright Act (R.S.C., 1985, c. C-42) does not currently recognize AI-generated works as protected by copyright (copyright requires human authorship), but AI-generated content may incorporate training data that is itself protected — creating potential infringement risk. The policy should address review and clearance requirements for AI-generated content used externally.

Federally regulated organizations including banks (governed by the Office of the Superintendent of Financial Institutions, OSFI), insurance companies, and telecommunications firms need AI policies as part of their enterprise risk management frameworks. OSFI's Guideline B-13 (Technology and Cyber Risk Management) and OSFI's AI guidance require federally regulated financial institutions to manage AI-related risks including model risk, bias risk, and operational risk.

Organizations subject to the federal Directive on Automated Decision-Making — including federal government institutions and their service providers — need AI policies that address the Directive's requirements for algorithmic impact assessments, human oversight provisions, transparency, and audit trail maintenance when AI systems are used to support or make administrative decisions.

A complete Canadian AI Acceptable Use Policy must contain specific elements that address both the privacy law obligations of Canadian employers and the practical governance needs of a modern AI-enabled workplace.

Scope and covered tools defines which AI tools, platforms, and applications fall within the policy — including both company-approved tools (Microsoft Copilot integrated into Microsoft 365, GitHub Copilot for developers, Salesforce Einstein for sales teams) and third-party public AI tools (ChatGPT, Gemini, Claude, Midjourney). The policy should specify that any AI tool not on the approved list requires prior written approval from the IT or privacy team before workplace use.

Permitted uses section describes the categories of work for which approved AI tools may be used: drafting and editing internal documents; coding assistance and debugging; research summarization (with verification requirements); data analysis using anonymized data; and ideation and brainstorming. The section should confirm that AI-generated output must always be reviewed and verified by a qualified human before reliance or publication.

Prohibited uses are the policy's most critical protective provisions. Absolute prohibitions should include: inputting personal information (as defined under PIPEDA and provincial legislation) of customers, employees, or third parties into any public AI tool not approved under a data processing agreement; inputting client confidential information, trade secrets, or attorney-client privileged communications; using AI tools to make final employment decisions (hiring, termination, performance assessment) without mandatory human review and documented justification; using AI to generate or modify regulated professional work product (legal opinions, medical diagnoses, financial advice, audit reports) without qualified professional review and attestation; and using AI-generated content in regulatory filings, court submissions, or other official documents without disclosure and verification.

Privacy and data handling requirements under PIPEDA and Quebec Law 25 specify that employees must not input regulated personal information into AI systems without: (a) confirming the tool is on the approved list with an executed data processing agreement; (b) confirming the tool's data retention and training policies do not retain inputs; and (c) obtaining prior approval from the privacy officer for any high-sensitivity data. For organizations subject to Quebec Law 25, the policy should reference the requirement for a Privacy Impact Assessment (PIA) before deploying any new AI tool that processes personal information, and should assign responsibility for conducting PIAs to a named role.

Accuracy and verification obligations address the well-documented risk of AI hallucinations. The policy must require employees to: independently verify factual claims, statistics, legal citations, and case references generated by AI tools before including them in work product; document the verification steps taken for high-stakes outputs; and never represent AI-generated output as independently researched without verification.

Disclosure requirements specify when AI involvement must be disclosed: in external publications and marketing materials, disclosure of AI-generated or AI-assisted content is expected under emerging professional standards; in legal submissions before Canadian courts, the Nova Scotia Barristers' Society, Law Society of Ontario, and Barreau du Québec have issued guidance on AI disclosure obligations; and in any context where a reader would reasonably expect human authorship, non-disclosure may create deceptive impression claims under the Competition Act (R.S.C., 1985, c. C-34).

Employee training requirements, disciplinary consequences for policy violations, the AI tool approval process, and the policy's review schedule (at minimum annually, given the pace of AI development) complete the document.

Under the Canada Business Corporations Act (R.S.C. 1985, c. C-44), Corporations Canada maintains the federal registry. Section 12 of the CBCA governs corporate name requirements. The Competition Bureau enforces the Competition Act (R.S.C. 1985, c. C-34). Provincial securities commissions — including the Ontario Securities Commission (OSC) and British Columbia Securities Commission (BCSC) — regulate capital markets. The Federal Court of Canada has jurisdiction under the Federal Courts Act. The forms-legal.com AI Acceptable Use Policy (Canada) template covers the mandatory elements under Canada Business Corporations Act (R.S.C. 1985, c. C-44).