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Structured process to assess risks and impacts of automated decision- and recommendation-systems.
Algorithmic Impact Assessment (AIA) is a structured method for systematically evaluating social, legal, and technical impacts of automated systems. It helps governance teams identify risks, define mitigations and ensure accountability across an algorithm’s lifecycle. The approach combines assessments, stakeholder interviews and measurable metrics for impact evaluation.
Counts identified risks per assessment and their severity.
Time from identification to implementation of a mitigation.
Percentage of relevant stakeholders engaged in the assessment.
Use of an AIA to assess social effects before rollout.
AIA identified disadvantaged groups and proposed compensations.
Assessment highlighted need for additional verification mechanisms.
Define scope and objectives; identify stakeholders
Perform data and model analysis; prioritize risks
Derive mitigations, plan implementation and set up monitoring