Global AI Governance Initiative
全球人工智能治理倡议
The Global AI Governance Initiative sets forth principles for international AI development, security, and governance, emphasizing a people-centered approach and respect for state sovereignty. It calls for international cooperation, risk prevention, ethical frameworks, and the bridging of the digital divide for developing countries. The initiative encourages multi-stakeholder participation and support for discussions within the United Nations framework to coordinate global AI governance.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Policymakers, international organizations, researchers, and industry stakeholders seeking guidance on international AI governance norms.
What the document contains
The document addresses global AI governance principles, calling for international cooperation, risk management, data security, ethical guidelines, and equitable participation for developing nations.
The text lacks binding enforcement mechanisms, specific penalties for violations, and detailed technical definitions for AI risk levels.
- AI development should adhere to a people-centered approach focused on human wellbeing and social security.
- Countries must respect national sovereignty and laws when providing AI products and services across borders.
- The initiative promotes AI for good, urging a responsible approach to military applications and opposing the misuse of AI by criminal groups.
- Global collaboration and open-source practices should be encouraged, while opposing technological monopolies and exclusive blocs.
- Robust risk-testing, agile governance, data security, and ethical review systems must be established to ensure AI remains under human control.
· People-centered approach and sustainable development · Respect for national sovereignty and laws · AI for good, human values, and military prudence · Mutual respect, equality, and opposition to technological monopolies · Risk-level testing, assessment, and agile governance · Legal systems, data security, and privacy protection · Fairness, non-discrimination, and bias prevention · Ethics-first approach and accountability mechanisms · Wide participation, consensus, and international cooperation · Technical capability development for AI governance · Enhancing developing countries' representation and UN framework discussions
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
4/5Clear responsibility for AI outcomes
建立并完善人工智能伦理准则、规范及问责机制，形成人工智能伦理指南，建立科技伦理审查和监管制度，明确人工智能相关主体的责任和权力边界
为此，我们倡议
screening score · 2026-10-24
Fairness
4/5Non-discrimination and equitable treatment
坚持公平性和非歧视性原则，避免在数据获取、算法设计、技术开发、产品研发与应用过程中，产生针对不同或特定民族、信仰、国别、性别等偏见和歧视。
为此，我们倡议
screening score · 2026-10-24
Human Dignity
4/5Respect for the inherent worth of persons
发展人工智能应坚持“以人为本”理念，以增进人类共同福祉为目标，以保障社会安全、尊重人类权益为前提
为此，我们倡议
screening score · 2026-10-24
Human Oversight
4/5Humans remain in control of consequential decisions
确保人工智能始终处于人类控制之下，打造可审核、可监督、可追溯、可信赖的人工智能技术。
为此，我们倡议
screening score · 2026-10-24
Privacy
4/5Protection of personal data and private life
逐步建立健全法律和规章制度，保障人工智能研发和应用中的个人隐私与数据安全，反对窃取、篡改、泄露和其他非法收集利用个人信息的行为。
为此，我们倡议
screening score · 2026-10-24
Transparency
4/5Openness about how AI systems work and are used
研发主体不断提高人工智能可解释性和可预测性，提升数据真实性和准确性，确保人工智能始终处于人类控制之下，打造可审核、可监督、可追溯、可信赖的人工智能技术。
为此，我们倡议
screening score · 2026-10-24
Enforcement
1/5Consequences and compliance mechanisms with real force
逐步建立健全法律和规章制度，保障人工智能研发和应用中的个人隐私与数据安全
为此，我们倡议
screening score · 2026-10-24
Impact Assessment
4/5Required assessment of an AI system's risks/impacts before or during use
推动建立风险等级测试评估体系，实施敏捷治理，分类分级管理，快速有效响应。
为此，我们倡议
screening score · 2026-10-24