AAISM Study App

The AAISM™ exam tests your understanding of fundamental AI and machine learning concepts. Master the terminology in this section — these definitions appear throughout all three domains.

• Supervised learning — Uses labeled data to predict known targets (classification and regression).
• Unsupervised learning — Finds patterns with no labels (clustering, anomaly detection).
• Reinforcement learning — Agent learns by trial-and-error with rewards in an environment.

• Mature IT governance processes covering stakeholder needs and compliance monitoring
• Appropriate governance structures: board of directors, IT strategy committee, risk/audit committees
• The governing body is ultimately responsible and accountable — this cannot be delegated

• Unacceptable Risk — Prohibited (social credit scoring, behavioral manipulation)
• High Risk — Strict oversight required (healthcare, law enforcement)
• Limited Risk — Transparency obligations (chatbots must disclose they are AI)
• Minimal Risk — No specific obligations (spam filters)

• GOVERN — Establishes risk policies and accountability structures
• MAP — Identifies AI system characteristics and risk areas
• MEASURE — Analyzes, assesses, and benchmarks AI risks
• MANAGE — Prioritizes and addresses identified risks; responds and recovers