AI Policies, Regulations, and Governance

About this session

Learn the foundations of responsible AI by exploring the critical role of AI policies, regulations, and governance in modern organizations. This session explains how internal policies, legal frameworks, and continuous oversight work together to ensure AI systems remain secure, transparent, and accountable. Through real-world case studies, including incidents involving Samsung and Air Canada, you'll understand the risks of improper AI usage, data exposure, and organizational accountability. The video also covers major regulatory frameworks such as the EU AI Act and India's DPDP Act, highlighting their impact on AI development and deployment. You'll also gain insights into best practices for building responsible AI, including fairness testing, model documentation, red teaming, and human oversight. Whether you're developing AI solutions or implementing them within your organization, this session provides practical guidance for creating AI systems that are both powerful and trustworthy.