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Which testing technique is BEST for determining how an AI model makes decisions?
Correct Answer: C
AAISM indicates that white-box testing allows evaluators full visibility into: * internal logic * weights * decision pathways * model architecture This makes it ideal for understanding how decisions are made. Black box (B) provides no internal visibility. Red/blue team tests (A, D) focus on security, not decision mechanics. References: AAISM Study Guide - AI Testing; Explainability Through White-Box Analysis.