Since April 2019, Canada's Directive on Automated Decision-Making has required every federal automated decision system to complete a public Algorithmic Impact Assessment …
Ottawa, Canada
Good practice
Evidence: Descriptive / self-reported
Top 13%80/100
Canada's signals-intelligence agency runs Assemblyline, an open-sourced ML malware triage platform, plus a separate classifier flagging threats commodity antivirus misses across ~900,000 …
Canada's Drug Agency ran a peer-reviewed, 7-project comparison of Lens.org, SpiderCite and Microsoft Copilot against manual systematic-review search for drug-reimbursement evidence, finding …
Ottawa, Canada
Good practice
Evidence: Observational / pre–post
Top 13%80/100
Since 2018 Canada's immigration department has used predictive-analytics models to triage visa applications, fast-tracking routine cases and flagging complex ones for officer …
Ottawa, Canada
Good practice
Evidence: Observational / pre–post
Top 24%73/100
Canada's Translation Bureau built GCtranslate, trained on an 8-billion-word bilingual corpus; a departmental pilot translated 60M+ words in 3 months, reaching 300M+ …
Canada Revenue Agency uses ML and AI-powered analytics to detect unwarranted GST/HST refund claims. Since 2017–18, over C$1.1 billion in carousel-scheme fraud …
Since April 2019, Canada's Directive on Automated Decision-Making has made federal departments score AI risk and publish Algorithmic Impact Assessments before go-live; …
Canada's National Research Council built open speech and 'ReadAlong' tools for 27 Indigenous languages, guided since 2018 by an Indigenous advisory committee, …
Launched November 2025 by the Treasury Board Secretariat, Canada's AI Register publicly lists AI systems across federal institutions — consolidating impact assessments …
Ottawa, Canada
Good practice
Evidence: Descriptive / self-reported
Top 75%47/100
ISED's 30-day consultation on Canada's next AI strategy drew 11,300 respondents and 64,600 answers, the largest in the department's history, then used …