What Is Algorithmic Impact Assessment?
Algorithmic Impact Assessment is a structured, questionnaire-based assessment — originating in the Canadian federal government's Directive on Automated Decision-Making — that scores the impact level of an automated decision system and sets proportionate requirements.
Algorithmic Impact Assessment — a structured, questionnaire-based assessment — originating in the Canadian federal government's Directive on Automated Decision-Making — that scores the impact level of an automated decision system and sets proportionate requirements.
Canada's Algorithmic Impact Assessment (AIA) is one of the earliest operational impact-assessment tools for public-sector AI: a system's score (Level I–IV) drives obligations around notice, human intervention, explanation, and testing. It is a useful reference model alongside the EU AI Act's fundamental-rights impact assessment and ISO/IEC 42005, even for organisations outside Canada.
Source: Government of Canada, Directive on Automated Decision-Making
Plain-language explanation
Canada's Algorithmic Impact Assessment (AIA) is one of the earliest operational impact-assessment tools for public-sector AI: a system's score (Level I–IV) drives obligations around notice, human intervention, explanation, and testing. It is a useful reference model alongside the EU AI Act's fundamental-rights impact assessment and ISO/IEC 42005, even for organisations outside Canada.
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