AI Glossary
XAI (Explainable AI)
What is XAI (Explainable AI)?
A set of methods and techniques designed to make AI model decisions understandable to human users. XAI is particularly important in regulated industries — finance, healthcare, legal — where decision-makers must be able to justify AI-assisted outcomes. Key XAI approaches include feature attribution, attention visualisation, and counterfactual explanations.
Example in practice
A credit underwriter who can tell an applicant "your application was scored lower because of your debt-to-income ratio and short credit history" — using output from an XAI feature attribution tool — has made a black-box decision explainable and legally defensible.
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See XAI (Explainable AI) applied in a professional context through this free course.
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