This course provides a comprehensive guide to developing and implementing an AI governance model within an organization. Participants will explore the evolving regulatory landscape, understand the components of effective AI governance, and learn practical strategies for managing AI systems and their risks. Through a series of lectures and case studies, this course aims to equip business leaders, compliance officers, and technology managers with the knowledge and tools necessary to navigate the complexities of AI integration and regulation.

Key topics discussed:

• Evolving Regulatory Landscape
• AI Governance Components
• Client-Specific Considerations
• Internal Use and Product Development
• Defining AI and Related Terms
• Inventory and Risk Assessment
• Interdisciplinary AI Committees
• Policy Implementation and Compliance
• Third-Party and Vendor Management
• Continuous Monitoring and Adaptation