Explainable and Trustworthy AI focuses on developing artificial intelligence systems that are transparent, reliable, and understandable to users. Explainable AI aims to provide clear insights into how AI models make decisions and generate outcomes. Trustworthy AI emphasizes fairness, accountability, privacy, and ethical considerations throughout the AI lifecycle. These principles help reduce bias, improve user confidence, and support responsible deployment of intelligent systems. As AI becomes increasingly integrated into critical sectors such as healthcare, finance, and public services, ensuring explainability and trustworthiness is essential for promoting safe and effective use of the technology.