Kate Kaye (2024) Report (multilateral / development partner)

AI Governance on the Ground: Canada's Algorithmic Impact Assessment Process and Algorithm has evolved

World Privacy Forum

Ref: SRC-006-CAN-001

https://www.worldprivacyforum.org/2024/08/ai-governance-on-the-ground-series-canada/

Accessed: 3/30/2026

Summary

Independent analysis of Canada's Algorithmic Impact Assessment framework. Explicitly references the ESDC EI ML Workload AIA. Contextualises it within the broader landscape of 22 published federal AIAs and analyses the evolution of the AIA scoring algorithm and risk-level criteria under the Directive on Automated Decision-Making.

View Harvard reference

Kaye, K. (2024) 'AI Governance on the Ground: Canada's Algorithmic Impact Assessment Process and Algorithm has evolved', World Privacy Forum, 14 August. Available at: https://www.worldprivacyforum.org/2024/08/ai-governance-on-the-ground-series-canada/ (Accessed: 30 March 2026).

Linked Cases (1)

CAN-001 CAN Operational Deployment (Limited Rollout)

Employment Insurance (EI) Machine Learning Workload

Social insurance Classical ML