Canada - National AI Strategy

Pan-Canadian Artificial Intelligence Strategy (PCAIS)

Canada

RAI-CA-NA-PAISPXX-2017
Effective: March 22, 2017
In Force(In Force)
PolicyGovernance and OversightConformity Assessment and Registration
Export PDF

The Pan-Canadian Artificial Intelligence Strategy (PCAIS) is Canada’s national AI strategy launched in March 2017 to strengthen research capacity, attract and retain top AI talent, and connect national AI institutes for collaboration and commercialization. Initially funded with CAD$125 million (Budget 2017), the strategy was renewed and expanded in 2022 with additional investments focused on commercialization, standards and compute capacity.

Summary

The Pan-Canadian Artificial Intelligence Strategy (PCAIS) was announced by the Government of Canada in March 2017 as a federally-funded national strategy to consolidate and strengthen Canada’s competitive position in artificial intelligence research and talent development. Administered initially through the Canadian Institute for Advanced Research (CIFAR), the first phase invested CAD$125 million to support research chairs, graduate training, and three national AI research institutes: Mila (Montréal), the Vector Institute (Toronto–Waterloo) and Amii (Edmonton). PCAIS aimed to recruit and retain world-class AI researchers, increase post-graduate training capacity, encourage collaboration among academic, public and private sectors, and build Canada’s reputation as a destination for AI investment.

In Budget 2021 and subsequent government announcements, PCAIS entered a second, expanded phase (announced publicly on June 22, 2022) that broadened the strategy’s scope beyond talent and research to include commercialization, standards development and dedicated compute resources. The second phase commits funding across multiple pillars: enhanced CIFAR programs for research and talent, investments to national AI institutes to accelerate commercialization, funding for Canada’s Global Innovation Clusters to support SME adoption of AI, resources for the Standards Council of Canada to develop AI-related standards and conformity assessment pilots, and dedicated compute investments to support researchers. PCAIS also directed sustained cooperation with international initiatives and multilateral engagements to align Canadian AI development with human-rights-focused, ethical and trustworthy AI principles.

As a strategy rather than prescriptive legislation, PCAIS does not itself create binding regulatory obligations or penalties for private-sector actors; instead, it sets national priorities, allocates funding, supports institutional capacity, and funds programs and codes of practice. The strategy has close linkages to other federal AI-oriented policy instruments and legislative proposals — notably the proposed Artificial Intelligence and Data Act (AIDA) under Bill C-27 and companion guidance published by Innovation, Science and Economic Development Canada (ISED) — which were designed to create a regulatory framework for high-impact AI systems. PCAIS remains an active organizing framework for federal AI investments, standards work, and coordination among CIFAR, the national AI institutes, ISED, the Standards Council of Canada and other partners.

Full article

Read full text ↗

Overview

The Pan-Canadian Artificial Intelligence Strategy (PCAIS) is Canada’s national AI strategy first announced in March 2017 and administered through the Canadian Institute for Advanced Research (CIFAR). Its initial mandate and funding (CAD$125 million, Budget 2017) focused on building research capacity, recruiting international talent through the Canada CIFAR Chairs program, and strengthening three national AI institutes: Vector Institute, Mila, and Amii. In June 2022 the Government launched a second phase, committing additional funding for commercialization, standards development and compute capacity. The strategy functions as an enabling national framework that connects funding, institutions and policy work to support Canada’s research base and responsible adoption of AI. Key official descriptions and announcements are maintained by Innovation, Science and Economic Development Canada and the Department of Finance. (ISED June 22, 2022).

Definitions

PCAIS does not introduce new statutory definitions; instead, it uses commonly accepted terminology from Canadian policy documents: "artificial intelligence" (use of computer systems to perform tasks normally requiring human intelligence), "national AI institutes" (Mila, Vector, Amii), "Canada CIFAR AI Chairs" (endowed research positions funded through CIFAR), "commercialization" (translation of research into marketable products/services), and "standards/conformity assessment" (work led by the Standards Council of Canada). For regulatory terms (e.g. "high-impact AI systems") the PCAIS references companion documents and consultations published by ISED and related work on the proposed Artificial Intelligence and Data Act (AIDA).

Governance and Institutional Framework

PCAIS is a federally-funded strategy coordinated through a combination of government departments and third‑party implementers. The Government of Canada (Finance; ISED) provides funding and policy direction; CIFAR acts as the principal program administrator for many talent and research streams. The national AI institutes (Amii, Mila, Vector) are principal delivery partners for training, research chairs and commercialization programming. The Standards Council of Canada (SCC) was funded under the second phase to lead AI standardization and conformity assessment pilots. PCAIS also works through Canada’s Global Innovation Clusters and other industry‑facing programs to reach SMEs. Implementation relies on formal contribution agreements and memoranda of understanding between the Crown and implementing organizations; CIFAR’s role has been documented in departmental planning and press releases. See official program pages on the PCAIS portal maintained by ISED for governance details. (Pan-Canadian AI Strategy – ISED) and (CIFAR).

Key Focus Areas

PCAIS organizes activity across a cluster of interrelated priorities: (1) Talent & Research – funding Canada CIFAR AI Chairs, graduate and post‑doctoral training, and national research programs to recruit and retain leading researchers; (2) National AI Institutes – supporting Mila, Vector and Amii to function as research and training hubs; (3) Commercialization & Adoption – programs and funding channels (including Global Innovation Clusters) to help firms adopt AI and to translate research into market solutions; (4) Standards & Conformity – funding given to the Standards Council of Canada to develop AI-related standards and conformity assessment pilots that will later support regulatory compliance or voluntary certification; (5) Compute & Infrastructure – investments in dedicated compute for researchers (e.g., Digital Research Alliance partnerships); and (6) Responsible AI & Ethics – supporting research and convening to study social, ethical and legal implications of AI. The second phase (Budget 2021/Budget 2024 follow‑on investments) deliberately extends PCAIS from research into commercialization and standards to ensure responsible diffusion of AI in the economy. These pillars are described in government releases and CIFAR program pages. (Budget 2017 – Finance) and (ISED June 22, 2022).

Implementation Framework

Rather than imposing regulatory obligations on private actors, PCAIS directs public investments and allocates program responsibilities. Implementation instruments include contribution agreements, competitive grants, chair appointments, and program delivery partnerships. CIFAR implements national research, training and knowledge mobilization programs, distributing funds to the AI institutes and host institutions. The Standards Council of Canada convenes stakeholders to develop standards, pilot accreditation and conformity programs, and recommend best practices to industry and government. The Digital Research Alliance and other compute providers coordinate access to dedicated computing resources. ISED and other departments coordinate cross‑government policy, public consultations, and codes of practice (for example on generative AI) to bridge the interregnum between strategy and sectoral regulation. Implementation timelines and program milestones are published in ISED and departmental planning documents. (ISED AI Strategy).

Monitoring and Evaluation

PCAIS monitoring is conducted through program reporting by CIFAR and the national institutes, departmental evaluations and public progress statements. Key indicators tracked include number of Canada CIFAR AI Chairs, graduate and post‑doctoral trainees trained, researcher recruitment metrics, commercialization projects supported, standards delivered or piloted by SCC, and investments in compute resources. ISED and CIFAR publish periodic updates and “quick facts” summarizing outputs (e.g., number of chairs appointed, trainee totals). Evaluation frameworks emphasize both quantitative outputs (research chairs, trainees, projects) and qualitative outcomes (ecosystem cohesion, international reputation and responsible AI research). Program-level audits and departmental performance reports provide accountability to Parliament and the public. (CIFAR program reporting) and (ISED reporting).

Penalties, Liability, and Appeals

PCAIS is a funding and policy strategy; it does not itself create criminal or administrative penalties applicable to private firms or individuals. Instead, PCAIS funds standards development and supports consultation on regulatory frameworks (notably the proposed Artificial Intelligence and Data Act — AIDA — introduced as part of Bill C‑27). Where legal liability, enforcement and appeals are relevant, those mechanisms would derive from separate legislation or contractual agreements (e.g., contribution agreements with CIFAR and funding recipients contain standard audit/repayment and dispute resolution clauses). In short: PCAIS does not set enforcement penalties, but it funds work (standards, codes of practice and consultations) that informs regulatory proposals that may include penalties. For details on regulatory instruments that may follow PCAIS, see ISED companion documents and AIDA materials. (ISED) and companion documents on AIDA.

Relationship to Other Instruments

PCAIS complements budgets, departmental directives and proposed AI legislation. It sits alongside — and feeds into — other federal initiatives including the Treasury Board Secretariat’s Directive on Automated Decision‑Making (for public service use), Canada’s Digital Charter work, the Standards Council of Canada’s AI standards activity, and the proposed Artificial Intelligence and Data Act. PCAIS funds and supports institutions that will participate in standards development and in regulatory consultations. It also links to provincial programs, academic research funding by tri‑agencies, and the Global Innovation Clusters program. PCAIS is therefore a central organizing policy that interfaces with many instruments (budgetary authorities; departmental directives; standards development; and legislative/regulatory proposals). See ISED and departmental pages for cross-references. (ISED AI Strategy).

International Alignment

From the outset PCAIS positioned Canada as a global leader in AI research and responsible AI development. The strategy’s investments in talent and institutes have been linked to Canada’s active participation in international fora (e.g., the Global Partnership on Artificial Intelligence, G7 discussions and other multilateral engagements). PCAIS-sponsored programs and CIFAR-led convenings aim to ensure Canadian values — human rights, fairness, inclusion — inform international standards and policy coordination. The Standards Council of Canada’s AI standards work also engages international standards bodies to align conformity assessment approaches. PCAIS therefore operates both domestically and as an instrument of international policy alignment and soft-power in AI governance. (ISED).

Implementation Timeline

Year / DateEvent
2017-03-22Federal Budget 2017 announcement and public reporting of CAD$125M for the PCAIS (initial launch and CIFAR implementation). (Finance release)
2017–2018CIFAR begins implementation of Phase I programs (chairs, coordination with Amii, Mila, Vector).
2018–2021Program rollout, Canada CIFAR AI Chairs appointments, training & research activities.
2021-04-19Budget 2021 tabled (commits funding for renewal and expansion of PCAIS components in subsequent years).
2022-06-22Government announces second phase of PCAIS (Budget 2021 funding details; commercialization, standards, compute). (ISED)
2021–2031Multi‑year funding envelope and program delivery window for certain PCAIS commitments (CIFAR & institutes).
2023–2025Standards and code of practice consultations; companion documents for proposed AIDA and voluntary codes for generative AI.

Sources and References

SourceType
Growing Canada's Advantage in Artificial Intelligence (Budget 2017 announcement)Primary Source
Government of Canada launches second phase of the Pan-Canadian Artificial Intelligence Strategy (ISED, 2022-06-22)Primary Source
Canadian Institute for Advanced Research (CIFAR) – Pan-Canadian AI Strategy materialsPrimary Source / Implementer
Budget 2017: Budget Plan (PDF)Primary Source

Requirements for a company

What an organisation has to do under Canada - National AI Strategy, at a glance. Not legal advice — the table below gives the provision and deadline for each item.

Must do

10
  • Maintain all required program reporting.Funding recipients (CIFAR, national AI institutes).
  • Meet all terms specified in contribution agreements.Funding recipients (CIFAR, national AI institutes).
  • Support program evaluation activities as required.Funding recipients (CIFAR, national AI institutes).
  • Implement knowledge mobilization activities.Funding recipients (CIFAR, national AI institutes).
  • Deliver training and commercialization programs.National AI institutes (Amii, Mila, Vector).
  • Report program outcomes.National AI institutes (Amii, Mila, Vector).
  • +4 more in the table below

Must not do

0

Nothing in this category.

Should do

2
  • Participate in commercialization programs and pilots.Industry partners and SMEs.
  • Adopt voluntary codes of practice and standards as available.Industry partners and SMEs.

Should not do

0

Nothing in this category.

Who must do what

The obligations under Canada - National AI Strategy, most serious first. Not legal advice — verify against the official text before relying on it.

#WhoRequirementBy whenWhereSeverity
1Funding recipients (CIFAR, national AI institutes).Maintain all required program reporting.
Maintain required reporting
Compliance ChecklistImportant
2Funding recipients (CIFAR, national AI institutes).Meet all terms specified in contribution agreements.
meet contribution agreement terms
Compliance ChecklistImportant
3Funding recipients (CIFAR, national AI institutes).Support program evaluation activities as required.
support program evaluation
Compliance ChecklistImportant
4Funding recipients (CIFAR, national AI institutes).Implement knowledge mobilization activities.
implement knowledge mobilization activities
Compliance ChecklistImportant
5National AI institutes (Amii, Mila, Vector).Deliver training and commercialization programs.
Deliver training & commercialization programs
Compliance ChecklistImportant
6National AI institutes (Amii, Mila, Vector).Report program outcomes.
report outcomes
Compliance ChecklistImportant
7National AI institutes (Amii, Mila, Vector).Coordinate with CIFAR and SCC for standards pilots.
coordinate with CIFAR and SCC for standards pilots
Compliance ChecklistImportant
8Standards Council of Canada.Lead stakeholder processes for AI standards.
Lead stakeholder processes
Compliance ChecklistImportant
9Standards Council of Canada.Develop AI standards and conformity assessment pilots.
develop standards & conformity pilots
Compliance ChecklistImportant
10Standards Council of Canada.Publish guidance documents related to AI standards.
publish guidance documents
Compliance ChecklistImportant
11Industry partners and SMEs.Participate in commercialization programs and pilots.
Participate in commercialization programs and pilots
Compliance ChecklistRecommended
12Industry partners and SMEs.Adopt voluntary codes of practice and standards as available.
adopt voluntary codes of practice and standards as available
Compliance ChecklistRecommended

© Regulations.AI · updated on 21-Jul-2026