AISM AI System Impact Assessment

AI system impact assessment evaluates how AI services affect people, work, organizational outcomes, and interested parties.

AI systems can affect people who never see the model, understand the automation, or participate in the design process. AISM requires impact assessment so the organization can identify affected parties, prevent hidden exclusion, preserve human oversight, and adjust controls before harm becomes embedded in service operation.

This topic connects AISM, DISM AI Impact Interface, DISM AI Bias Governance Interface, AISM Human Oversight, AISM AI Risk Assessment, AI Service Evidence, Evidence Quality, Interested Parties, and Management Review.

A Management Advisor should recommend impact assessment when an AI service affects opportunity, access, employment, learning, performance, compensation, service eligibility, evidence quality, safety, or customer and community outcomes.