What is XAI?

Explainable AI (XAI) refers to artificial intelligence models and techniques that produce understandable and transparent results. It contrasts with 'black box' AI, where the reasoning behind decisions is opaque. XAI aims to make AI decisions more interpretable, trustworthy, and accountable, allowing users to understand why a model made a particular prediction. It is used to improve model accuracy, fairness, and robustness, especially in high-stakes domains like healthcare, finance, and autonomous systems where understanding the reasoning behind a decision is critical.