Explainable AI (XAI) is a field dedicated to making artificial intelligence models transparent and their decisions comprehensible to humans. It seeks to illuminate the "black box" nature of complex Machine Learning systems, fostering trust and enabling critical analysis. By revealing an AI's reasoning, XAI aims to improve reliability and identify biases within AI systems.