Canada’s AI Strategy: The Case Against Government as AI Investor, Promoter, Buyer, and Referee
https://breaking-news.ca/canadas-ai-strategy-the-case-against-government-as-ai-investor-promoter-buyer-and-referee/
Canada should regulate artificial intelligence, audit high-risk systems, protect public data, and fund neutral public-interest research. However, the same government departments and ministers currently advancing AI adoption, subsidizing domestic firms, acting as an anchor customer, and deploying AI in public services are also responsible for protecting citizens from AI-related harms. This creates structural incentive conflicts that undermine the government’s ability to act as an impartial referee.
The public record shows a clear policy evolution from research support toward commercialization, compute infrastructure investment, champion-scaling, and public-sector adoption. At the same time, Canada’s binding statutory AI governance framework remains incomplete, in part because the proposed Artificial Intelligence and Data Act (AIDA) died on the order paper when Parliament was prorogued in early 2025.
The central governance question is whether one set of institutions can credibly perform promotional, investment, procurement, and protective roles simultaneously without those roles contaminating one another. While it is common internationally for governments to act as both promoter and regulator, critics contend this multi-role structure risks converting public resources and legitimacy into advantages for selected private firms without commensurate enforceable public safeguards or ownership stakes. Accelerating AI adoption in public services before establishing independent oversight, comprehensive auditability, and clear liability frameworks presents significant risks to public administration.
The Short Version Continue…