This session explores the role of Explainable AI (XAI) in enhancing transparency and trust in Large Language Models (LLMs) like ChatGPT, Bard, and Gemini. Learn how XAI techniques uncover the reasoning behind LLM decisions, detect biases, and improve user trust. Through practical examples and cutting-edge research, we will show how XAI bridges the gap between complex AI models and human understanding, enabling more ethical and reliable AI applications.