This session aims to provide a comprehensive understanding of the foundational principles of trustworthy AI and how these principles can be effectively translated into practical implementations. It focuses on foundations of Trust , exploring key principles and challenges in implementing trustworthy AI, delves into the principles beyond Responsible AI that impact the trust in AI and adoption . The session also focusses on practical approaches to building trustworthy AI, future directions, and emerging trends. We will discuss practical examples on how trust principles can be implemented across the model lifecycle.