{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Explainability — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"

AI Glossary — gaks.ai

Explainability

The degree to which the reasoning behind an AI system's outputs can be communicated in terms understandable to users, affected individuals, or regulators. Explainability is distinct from interpretability: an interpretable model is transparent by design, while an explainable model may be a black box internally but provides post-hoc explanations of its decisions. Both matter for trust, accountability, and regulatory compliance. See also: interpretability, explainable AI, algorithmic accountability.

Source: gaks.ai/glossary/explainability →
"}