Innovation, Science and Economic Development Canada is consulting through September 23, 2026 on measures to increase AI transparency.

The consultation focuses on five areas: detecting and identifying AI-generated content; enabling individuals to know when they are interacting with AI; improving consistent and understandable information about AI system development, capabilities and limitations; tracking serious AI incidents; and tracking the activity and interactions of AI agents.

The discussion paper asks what actions government should consider, including potential regulatory measures, guidance, codes, standards, technical solutions, research, literacy and procurement tools. This is a policy consultation and does not yet establish mandatory labeling, incident-reporting or conformity requirements.

Impact

Impact assessment: Medium.

Key reasons: the consultation may shape future Canadian AI transparency obligations, including content identification, disclosure, incident tracking and agent accountability, but no final requirement has been adopted.

Who is affected?

AI developers, providers, deployers, digital platforms, enterprises procuring AI and trust/privacy/compliance teams.

Conclusion:

stakeholders should assess likely transparency impacts and submit evidence or comments by September 23, while avoiding treatment of the discussion options as current legal requirements.