As AI agents become more autonomous and widespread, comprehensive governance frameworks are emerging to ensure safe, beneficial deployment while supporting innovation.

Why Governance Matters

• Unprecedented autonomy of AI agents raises new regulatory questions
• High-stakes decisions increasingly influenced by autonomous systems
• Cross-border nature of AI requiring international coordination
• Rapid advancement outpacing traditional regulatory approaches

Global Regulatory Landscape

• European Union: Pioneering comprehensive AI regulation through the AI Act
• United States: Sector-specific approach with executive actions
• China: Proactive regulations focusing on content and social stability
• International Bodies: UN, OECD, and others developing frameworks

Key Governance Dimensions

1. Risk-Based Governance - Tailoring oversight to potential harm
2. Transparency Requirements - Ensuring users know when interacting with AI
3. Accountability Mechanisms - Establishing who's responsible when things go wrong
4. Technical Standards - Developing industry norms for safety and quality

This presentation examines how these regulatory frameworks are evolving and what organizations must prepare for as autonomous AI agents become mainstream.