What is explainable AI (XAI)?

Explainable AI refers to methods and tools that make an AI model's decisions understandable to people. Many powerful models work as black boxes, so explainability techniques reveal which factors drove a given prediction. This matters for trust, debugging, and compliance, particularly where regulations require organizations to justify automated decisions that affect individuals, such as loan or insurance approvals.