This session explores the critical role of explainable AI in regulated industries, particularly for meeting compliance and governance standards. Saloni, our speaker, will highligh use cases in finance, healthcare, and environmental sectors, where explainability supports decisions in diagnostics, fraud detection, and resource management, and then outlines implementation methods such as post hoc techniques, model-specific interpretability, and visualizations. Saloni will conclude by addressing key challenges, including data privacy, interpretability vs. accuracy trade-offs, and organizational readiness for deploying transparent AI systems.