As artificial intelligence continues to revolutionize industries, organizations must navigate the complexities of AI governance to ensure ethical, transparent, and responsible use. This presentation will explore the key components of AI governance, including risk management, regulatory compliance, data privacy, and accountability frameworks. Includes best practices for implementing governance structures that balance innovation with ethical considerations, enabling organizations to harness the power of AI while managing potential risks. The session will also address the role of continuous monitoring, stakeholder engagement, and strategic alignment in maintaining effective AI governance. Learning Objectives: • Understand the fundamentals of AI governance • Identify key risk factors and regulatory considerations • Explore best practices for implementing AI governance frameworks • Examine the role of continuous monitoring and compliance • Engage stakeholders in AI governance initiatives