In the age of AI, building systems that are not only innovative but also ethical and reliable is paramount. This session delves into the concept of Responsible AI, with a focus on the critical role of data groundedness in ensuring that AI outputs are accurate, reliable, and trustworthy. We will explore Microsoft’s approach to Responsible AI, discuss the importance of groundedness in AI models, and provide practical techniques for testing and validating data to ensure it meets high standards of quality and relevance. Through case studies and hands-on demonstrations, participants will gain actionable insights into building AI systems that are both responsible and robust.