Explainability

Explainability is the ability to describe, in terms people can understand, why an AI system produced a particular output or decision, supporting trust, debugging and regulatory accountability.

Explainability sits in the Evaluation & safety part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.

Also called Explainable AI, XAI.