AAIA: Advanced in AI Audit

Explainability testing assesses whether the AI system’s mechanisms and decisions can be meaningfully explained to users, operators, and auditors. This directly supports transparency by making how the system reaches its outputs understandable. NIST identifies explainability as representing the mechanisms underlying AI-system operation and notes that transparency and explainability support each other.