Explainability
nounverified·updated Aug 28, 2026
A characteristic of an AI system in which there is provision of accompanying evidence or reasons for system output in a manner that is meaningful or understandable to individual users (as well as to developers and auditors) and reflects the system’s process for generating the output (e.g., what alternatives were considered, but not proposed, and why not).
MWENational Security Commission on Artificial Intelligence: The Final Report
Senses
Comptroller's Handbook: Model Risk Management, Version 1.0
Within the context of AI, the extent to which AI decisioning processes and outcomes are reasonably understood.
A Taxonomy and Terminology of Adversarial Machine Learning
The ability to provide a human interpretable explanation for a machine learning prediction and produce insights about the causes of decisions, potentially to line up with human reasoning.
Classifications
Entity Type
Capability82%llm-generatedllm:claude-haiku-4-5
?unassignedlast reviewed —
Sensitivity
unclassified
Information Class
unclassified
Variants
- synonym
- interpretability
- plural
- Explainabilities
- possessive
- Explainability's
- pluralpossessive
- Explainabilities'