When AI gives a result, it can explain 'why.' Deep learning is often called a 'black box' — it gives answers without explaining how. Explainability aims to open this black box.
English Example:AI rejects your loan application — you need to know why. Insufficient income? Credit issues? That's the purpose of explainability.