Interpretability
Also called: Model Interpretability
The ability to understand how an AI model or system arrives at its predictions, decisions, or outputs by examining its internal mechanisms, decision-making process, or contributing factors.
Explore more about Risk & Compliance
Related terms
ExplainabilityXAI
The ability of an AI system to provide understandable reasons or evidence for how it produced a prediction, recommendation, or decision, enabling humans to interpret and trust its behavior.
TransparencyThe degree to which an AI system's inner workings, decision logic, training data, and operations are visible and understandable.
AI GovernanceThe framework of policies, processes, and oversight that ensures AI systems are developed, deployed, and operated responsibly, safely, and in compliance with regulations.