This hybrid half-day workshop will explore key advancements in explainable AI (XAI) at the intersection of AI, Mathematical Sciences, Engineering, and Economics. Experts will discuss both theoretical foundations and practical applications, focusing on making AI models more transparent and interpretable, which is essential for building trust in complex AI systems.