Explainable AI (XAI) refers to techniques used to make artificial intelligence and machine learning models more transparent and interpretable, enabling users to understand the reasoning behind their predictions and decisions. As AI becomes increasingly pervasive in various industries, XAI is gaining importance in the tech community, allowing developers to build trust in AI systems, identify biases, and improve model performance, ultimately driving the adoption of AI in high-stakes applications such as healthcare, finance, and transportation.