Explainable AI (XAI) refers to methods and techniques in artificial intelligence that make the outputs of AI systems understandable to humans, ensuring transparency and trust. It is crucial for the deployment of AI in sensitive areas where decisions need to be interpretable, such as healthcare, finance, and autonomous vehicles.