Artificial Intelligence Policy Tracker
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AI policies in Canada

Search and filter source-backed AI laws, regulations, standards, guidance and consultations. Each record shows its status, key dates, verification state and official source.

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3 of 244 instruments match

Canada Bill Archived

Artificial Intelligence and Data Act

Artificial Intelligence and Data Act (Part 3 of Bill C-27, Digital Charter Implementation Act, 2022)

The Artificial Intelligence and Data Act (AIDA) was proposed as Part 3 of Bill C-27 and would have required organisations designing, developing or deploying high-impact AI systems to assess and mitigate risks of harm and bias, keep records and publish information, with enforcement by an AI and Data Commissioner and penalties for serious offences. The bill passed second reading in the House of Commons in April 2023 and was studied in committee through 2024 but never advanced to report stage. It lapsed when the 44th Parliament ended in early 2025 without the bill being passed.

Adopted 16 Jun 2022 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source
Canada National strategy Adopted

Pan-Canadian Artificial Intelligence Strategy

The Pan-Canadian AI Strategy is Canada's national AI strategy, first funded in Budget 2017 with $125 million and delivered largely through CIFAR and three national AI institutes. A second phase from 2021 added funding for commercialisation, standards and computing capacity, with further support in the 2024 Fall Economic Statement. It focuses on attracting and retaining researchers, translating research into industry adoption and promoting responsible AI.

Adopted 22 Mar 2017 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source
Canada Guidance Guidance

Voluntary Code of Conduct on the Responsible Development and Management of Advanced Generative AI Systems

This voluntary code asks Canadian developers and managers of advanced generative AI systems to commit to measures under six principles: accountability, safety, fairness and equity, transparency, human oversight and monitoring, and validity and robustness. Obligations are scaled according to whether a system is made available for general public use. It was introduced as a bridge while the Artificial Intelligence and Data Act was before Parliament, and lists around fifty signatory organisations.

Adopted 27 Sep 2023 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source

Frequently asked questions

What counts as an AI policy instrument here?

Anything a government or standards body has actually issued: acts, regulations, executive orders, rules, national strategies, frameworks, guidance, codes of practice, voluntary standards and open consultations. Each record states which of those it is, whether it binds anyone, and links the official source it was read from.

Are these records legally verified?

A record is marked verified only after a named reviewer has opened its official source and confirmed each field. Anything that has not been through that carries "pending review" on the record itself, and the data-health document reports the current totals. Nothing here is legal advice.

How current is the information?

Every record carries the date its source document was published and the date it was last checked. A record not re-checked within the freshness window set by the verification policy is flagged as stale rather than quietly presented as current.

Can I reuse this data?

Yes. The records are published under CC BY 4.0 with attribution, and are available as CSV, newline-delimited JSON and a read-only REST API that needs no key. Cite the record URL, the date accessed and the official source alongside it.