International AI Governance Exchange

Why This Course

Artificial Intelligence has become a defining force in global competition, diplomacy, and development.

As nations, industries, and institutions adopt AI at scale, effective international governance and collaboration are essential to balance innovation, ethics, and societal well-being.

This program serves as a global knowledge and policy exchange, providing participants with a deep understanding of international AI frameworks, governance models, and cooperation mechanisms.

It empowers participants to engage in cross-border dialogue, contribute to international policymaking, and design strategies that foster trust, accountability, and equitable AI advancement worldwide.

What You’ll Learn and Practice

By joining this program, you will:

• Understand global AI governance frameworks, standards, and policy approaches.
• Explore international cooperation models and diplomatic mechanisms for AI.
• Learn how organizations can align with global AI regulations and best practices.
• Analyze ethical, economic, and geopolitical dimensions of AI governance.
• Engage in simulation exercises and forums to design global AI policy strategies.

The Program Flow

Day 1: The Global Landscape of AI Governance

• Evolution of global AI policy and the rise of governance initiatives.
• Comparative analysis: OECD AI Principles, UNESCO AI Ethics Recommendations, EU AI Act, U.S. AI Executive Order, China’s AI Policy Framework, and GCC AI Strategies.
• The need for harmonization and interoperability in global AI regulation.
• Case study: analyzing the governance models of the EU, U.S., and Asia-Pacific regions.
• Roundtable: “Is global AI governance possible in a fragmented world?”

Day 2: AI Diplomacy, Cooperation, and Multilateral Engagement

• The role of diplomacy in shaping AI ethics and global standards.
• Key institutions driving cooperation — UNESCO, OECD, G7, WEF, and ITU.
• Regional governance alliances and cross-border data governance initiatives.
• AI and international trade: implications of export controls and data localization.
• Simulation: designing a framework for international AI cooperation between regions.

Day 3: Standards, Regulation, and Cross-Border Compliance

• Overview of ISO/IEC 42001 (AI Management Systems) and NIST AI Risk Management Framework.
• Mechanisms for aligning AI systems across multiple regulatory jurisdictions.
• International data protection, privacy, and security standards (GDPR, cross-border data flows).
• Managing compliance and interoperability in multinational AI projects.
• Workshop: building a compliance roadmap for a global AI deployment.

Day 4: Ethics, Equity, and Human-Centric AI Governance

• Global perspectives on ethical AI — cultural and regional variations in values.
• Ensuring fairness, inclusivity, and accessibility in international AI policies.
• The impact of AI on human rights, democracy, and social justice.
• Balancing innovation and control in global AI ecosystems.
• Panel simulation: drafting an international declaration on “Ethical AI for Humanity.”

Day 5: Future of Global AI Policy and Governance

• The next frontier: governance for generative AI, autonomous systems, and AI agents.
• AI in global development — sustainability, education, and digital equity.
• Strategies for cross-border knowledge sharing and capacity building.
• Building resilient international AI governance frameworks for the future.
• Final Forum: presenting collaborative AI policy recommendations and governance models.

Individual Impact

• Gain comprehensive insight into international AI governance, policy, and cooperation.
• Strengthen strategic understanding of global regulatory trends and ethical standards.
• Develop confidence in contributing to international dialogues and policy design.
• Learn to analyze and navigate cross-border AI compliance and collaboration challenges.
• Build leadership skills for engaging with international organizations and policymakers.

Work Impact

• Strengthen global positioning in AI policy, compliance, and ethics.
• Build capacity for international collaboration and responsible innovation.
• Ensure regulatory alignment across jurisdictions and markets.
• Enhance reputation as a leader in global AI governance engagement.
• Support sustainable and equitable AI development through global partnerships.

Training Methodology

This program emphasizes strategic dialogue, global case analysis, and collaborative policy design.

Learning methods include:

• International case studies and comparative governance analysis.
• Expert-led discussions on policy harmonization and regulatory frameworks.
• Interactive forums and simulation exercises on cross-border collaboration.
• Group projects focused on drafting policy recommendations.
• Toolkits and frameworks for global AI governance implementation.

Beyond the Course

Upon completion, participants will be equipped to engage effectively in international AI governance dialogues and contribute to shaping global standards for ethical and responsible AI.

They will leave ready to foster cooperation, bridge regulatory gaps, and drive forward a shared global vision for AI that balances innovation, security, and human values.