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AI Glossary
Explainability
Explainability is the ability to understand and communicate how an AI system reached a particular decision or recommendation.
Explainability
Definition
Explainability describes how easily humans can understand the reasoning behind an AI system’s outputs or decisions.
Some AI models are highly transparent, while others operate in ways that are much more difficult to interpret.
Why It Matters
Explainability helps build trust, supports accountability, and enables organizations to validate AI-assisted decisions.
Related Concepts
- Transparency
- AI Governance
- Human Oversight
- Responsible AI