Global AI Governance Action Plan
The Global AI Governance Action Plan is a comprehensive framework published at the 2025 World Artificial Intelligence Conference. It outlines thirteen actionable areas for global cooperation, including seizing AI opportunities, promoting innovation, advancing cross-industry applications, building digital infrastructure, and enhancing safety governance. The plan calls on governments, international organizations, enterprises, and research institutions to work together through the United Nations to bridge the digital divide and ensure inclusive, safe, and reliable AI development.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Governments, international organizations, enterprises, and researchers looking for guidance on international cooperation and multilateral governance for artificial intelligence.
What the document contains
The document addresses thirteen strategic areas for global AI development and governance, covering innovation, cross-industry deployment, digital infrastructure, open-source ecosystems, data quality, energy efficiency, technical standards, public sector adoption, safety risk management, and international capacity building.
The document does not contain binding legal enforcement mechanisms, specific penalties for non-compliance, or domestic legislative statutes.
- The action plan calls for global solidarity to unleash AI potential while ensuring safety, reliability, and fairness.
- It emphasizes supporting the Global South in accessing digital infrastructure and AI technologies to bridge the digital divide.
- The plan advocates for open-source ecosystems, high-quality data sharing, and resource accessibility to lower technological barriers.
- It promotes sustainable AI development by establishing energy and water efficiency standards and green computing technologies.
- It positions the United Nations as the main channel for global digital governance and supports frameworks like the Independent International Scientific Panel on AI.
· 1. Jointly seizing the opportunities of AI. · 2. Promoting the innovative development of AI. · 3. Advancing AI empowerment across industries. · 4. Accelerating digital infrastructure construction. · 5. Creating a diverse, open, and innovative ecosystem. · 6. Actively promoting the supply of high-quality data. · 7. Effectively addressing energy and environmental issues. · 8. Promoting common understanding on standards and norms. · 9. Spearheading deployment and application by the public sector. · 10. Advancing the governance of AI safety. · 11. Jointly implementing the Global Digital Compact. · 12. Strengthening international cooperation on AI capacity building. · 13. Building an inclusive multi-stakeholder governance model.
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
0/5Clear responsibility for AI outcomes
screening score · 2026-10-23
Fairness
3/5Non-discrimination and equitable treatment
eliminate discrimination and bias, and promote, protect, and preserve the diversity of the AI ecosystem
6
screening score · 2026-10-23
Human Dignity
2/5Respect for the inherent worth of persons
with special attention to safeguarding and strengthening the digital and intelligent rights and interests of women and children
12
screening score · 2026-10-23
Human Oversight
0/5Humans remain in control of consequential decisions
screening score · 2026-10-23
Privacy
3/5Protection of personal data and private life
We need to strictly enforce data and privacy protection, actively explore lawful and orderly transactions of training data
9
screening score · 2026-10-23
Transparency
3/5Openness about how AI systems work and are used
enhance the interpretability, transparency, and safety of AI
10
screening score · 2026-10-23
Enforcement
1/5Consequences and compliance mechanisms with real force
We need to strictly enforce data and privacy protection
9
screening score · 2026-10-23
Impact Assessment
3/5Required assessment of an AI system's risks/impacts before or during use
At the same time, assessment of the safety of the aforementioned AI systems should be conducted regularly
9
screening score · 2026-10-23