Explore the critical intersection of Responsible AI (RAI) and Explainable AI (XAI) in this 39-minute sponsored session by Intel at the Linux Foundation. Delve into the journey from RAI to XAI, examining their roles as essential tools for building ethical and trustworthy AI systems. Discover how RAI emphasizes fairness, transparency, accountability, and privacy in AI development, while XAI techniques unravel the "black box" of AI decision-making. Learn about use cases, open source frameworks, and a recent approach to human-focused XAI. Gain insights into addressing risks associated with unchecked AI systems, uncovering biases, improving fairness, enhancing accountability, and fostering trust in AI technologies.