Glossary
Algorithmic Impact Assessment
A structured review of an algorithmic system’s intended use, risks and affected communities, often required before public-sector deployment.
Last reviewed 2026-08-22
In plain language
Algorithmic impact assessments (AIAs) adapt environmental and human-rights impact-assessment practice to automated decision-making. Designs vary: some are internal checklists; others involve public consultation or independent review. Canada’s Directive on Automated Decision-Making is a frequently cited public-administration example of a risk-tiered assessment process. An AIA is a process, not a one-time score.
Why it matters for AI governance
Impact assessment is a practical lever for civil servants and advocates when new AI tools enter public services. Its value depends on timing, independence, publication and whether findings can stop or alter a deployment.
Authoritative sources
- Directive on Automated Decision-Making (opens in a new tab) — Government of Canada