As Large Language Models (LLMs) like ChatGPT, Bard, and Gemini reshape industries with their ability to generate human-like text, the demand for transparency and trust in their outputs grows. This session delves into the transformative role of Explainable AI (XAI) in making these advanced systems more interpretable. Learn how XAI techniques reveal the reasoning behind LLM decisions, detect biases, and enhance user trust. Through practical examples and cutting-edge research, we will explore how XAI bridges the gap between complex AI models and human understanding, paving the way for more ethical and reliable AI applications.