Publish a Government of Canada Artificial Intelligence (AI) Register (CA0091)
Overview
At-a-Glance
Action Plan: Not Attached
Action Plan Cycle: 2025
Status:
Institutions
Lead Institution: Treasury Board of Canada Secretariat (TBS)
Support Institution(s):
Policy Areas
Automated Decision-Making, Algorithms, and Artificial Intelligence, Digital Governance, Participatory Approaches, Public ParticipationIRM Review
IRM Report: Pending IRM Review
Early Results: No IRM Data
Design i
Verifiable: Pending IRM Review
Relevant to OGP Values: No Data
Ambition (see definition): No Data
Implementation i
Completion: Pending IRM Review
Description
3.3 Publish a Government of Canada Artificial Intelligence (AI) Register that would include information about what and how data is being used, how the AI model was trained, and what quality assurance, accountability, success metrics, bias identification and mitigation, and privacy and security measures are in place
Note: This commitment is part of a commitment cluster in the original action plan and has been disaggregated by the OGP Support Unit. See the action plan for details.
Issue to be addressed
Concerns about unethical practices, opaque decision-making and misuse of public resources are straining public trust. Corruption undermines democratic accountability and economic fairness, and limited corporate transparency allows misconduct to go unchecked. All of this erodes confidence in institutions meant to serve the public good and support strong, competitive economies.
Addressing this issue calls for coordinated efforts to promote integrity through anti-corruption measures and transparent governance. Canadians need assurance that public and private organizations operate with fairness, openness and accountability. Building trust requires not only preventing corruption but also creating systems that make financial and operational information accessible and understandable. When institutions are transparent and accountable, people are more likely to engage, invest and believe in the legitimacy of decision-making processes.
Problem statement
Persistent concerns about unethical conduct, opaque decision-making, and the misuse of public resources are eroding public trust in both government and the private sector. Corruption undermines democratic accountability and economic fairness. Without coordinated efforts to strengthen anti-corruption measures and promote transparent governance, Canadians cannot be assured that institutions are acting in their best interest. The lack of openness threatens civic engagement, economic stability and the legitimacy of decision-making processes in all sectors.
Commitment
The Government of Canada commits to strengthening public trust through transparent governance and rigorous anti-corruption measures. It will foster a culture of integrity and accountability that deters misconduct and empowers Canadians to engage confidently with institutions that serve the public good. By prioritizing openness and fairness, it aims to reinforce democratic accountability, promote economic equity, and uphold the legitimacy of decision-making processes.
What will we do? | How will we know we succeeded? | What is our deadline? | Department
3.3 Publish a Government of Canada Artificial Intelligence (AI) Register that would include information about what and how data is being used, how the AI model was trained, and what quality assurance, accountability, success metrics, bias identification and mitigation, and privacy and security measures are in place |
3.3.1. Research to identify existing sources of data, information and good practices from other jurisdictions, researchers and organizations. | By fall 2025 | TBS
3.3.2. Publication of minimum viable product (MVP) register using existing data and information. | By November 2025 | TBS
3.3.3. Engagement of internal and external stakeholders to further develop and refine MVP content, format and functionality, and to identify where needed data and information can be sourced. | By early 2026 | TBS
3.3.4. Development and publication of second version of register incorporating user feedback. | By end of 2026 | TBS