Guide to Peer Review of Automated Decision Systems

Source: canada.ca/en/government/system/digital-governm… This episode explores the Canadian government's approach to ensuring accountability and transparency in automated decision-making systems. We break down the comprehensive peer review process required by the Directive on Automated Decision-Making for AI systems with impact levels of 2 or higher. Learn about selecting qualified reviewers with both technical and ethical expertise, managing conflicts of interest, establishing clear timelines, and the key areas reviewers must assess—from data quality and fairness to privacy, security and operational readiness. Discover how these reviews help departments validate their AI systems before deployment, ensuring they comply with administrative law principles while minimizing risks to Canadians. The contents and hosts of this podcast are AI generated.