As Artificial Intelligence increasingly influences critical decisions and systems, ensuring security and trustworthiness is paramount. This session examines the challenges and solutions in building AI systems that are robust, transparent, and resistant to adversarial attacks. Topics include secure model training, privacy-preserving techniques, explainability, ethical AI, and methods to detect and mitigate biases and vulnerabilities. Attendees will gain practical insights into designing AI systems that not only deliver high performance but also uphold integrity, reliability, and user trust. Ideal for AI developers, security professionals, and policymakers committed to advancing safe and ethical AI technologies.