AISM AI Risk Assessment

AI risk assessment identifies and evaluates risks associated with AI-enabled services.

AI risks can emerge from autonomy, data limitations, hidden assumptions, weak explainability, poor deployment controls, supplier dependencies, insufficient human oversight, inaccessible interfaces, biased outputs, or unclear accountability. AISM makes those risks manageable by attaching them to services, owners, controls, evidence, measures, and management review.

This topic connects AISM to Risk, AI Workforce Risk, Control, Evidence Object, AISM AI Risk Treatment, AISM AI System Impact Assessment, AISM Statement of Applicability, and AISM Management Review.

A Management Advisor should prompt risk assessment when an AI service lacks a current assessment, affects workforce decisions, uses sensitive or low-quality data, changes human roles, influences access or opportunity, or has incidents, drift, complaints, or audit findings.