Canadian AI Transparency Evidence Registry
Canada is actively determining how AI systems and AI-generated outputs should be made more transparent, leaving organisations with a moving set of expectations around system disclosures, provenance and public explanation. Operational consequences: Teams that wait for final obligations may have to reconstruct model purpose, data/provenance decisions, user disclosures and change history retrospectively. Smaller firms rarely maintain this information in one auditable record.