Ethical Governance & Risk in Agentic AI

Ethical Governance & Risk in Agentic AI is an intermediate-level course designed for professionals who need to navigate the complex landscape of autonomous AI systems while ensuring ethical compliance and responsible deployment. As AI systems become increasingly autonomous, traditional governance approaches break down, creating new categories of risk and accountability challenges. This course equips learners with practical frameworks to assess AI autonomy levels, design adaptive compliance strategies, and build scalable governance structures. Through real-world case studies from IBM, UC Berkeley, and Harvard Business Review, learners explore both the opportunities and risks of agentic AI systems. The course emphasizes practical implementation, providing tools and templates that can be immediately applied in organizational settings. By the end, learners will be able to build comprehensive governance frameworks that balance innovation with responsibility, ensuring AI systems serve human values while driving competitive advantage

• Build governance frameworks balancing innovation and responsibility
• Assess AI autonomy levels and design compliance strategies
• Develop scalable governance structures
• Analyze real-world case studies of agentic AI systems

• Basic familiarity with AI concepts at intermediate level
• Readiness to engage in applied exercises or case studies