Global AI Governance Action Plan
China · Strategy · Ministry of Foreign Affairs of the People's Republic of China
Our summary
This action plan sets out a comprehensive framework for global artificial intelligence development and governance to maximize AI's benefits while managing associated risks. It calls on governments, international organizations, enterprises, research institutions and civil society to collaborate across 13 key areas, including AI innovation, industrial applications, digital infrastructure, data sharing, safety governance, and capacity building. The plan aims to create an inclusive, safe, and fair AI ecosystem aligned with sustainable development goals and United Nations commitments.
Written by the Index in our own words. It is not legal advice; the official text is the authority.
Inside this policy
Every section of this policy in order. Our notes summarise each one in plain language and do not quote the official text, which is the authority.
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5 sections
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Overview and principles
This action plan is introduced as calling for global solidarity to develop AI safely and fairly in service of humanity, respecting national sovereignty and inclusive development. It invites participation from governments, organizations, enterprises, research institutions and citizens to accelerate digital infrastructure, explore AI innovations, and maximize AI's potential for sustainable development and addressing global challenges.
Innovation and application
Encourages bold experimentation, establishment of international platforms for scientific cooperation, and fostering innovation-friendly policies to advance AI technology breakthroughs. Calls for promoting AI applications across industrial, health, education, agriculture and other sectors through cross-border cooperation, including autonomous driving and smart cities, and construction of shared intelligent infrastructure.
Data, environment and standards
Advocates for facilitating lawful data flow, creating data-sharing mechanisms and high-quality datasets while safeguarding privacy and reducing bias. Promotes sustainable and green AI development, and calls for dialogue among standard-setting bodies and international organizations to establish a scientific, transparent and inclusive framework for AI standards and norms.
Public sector leadership and safety governance
Urges public sectors to lead in deploying reliable AI for healthcare, education and transport with regular safety assessment and intellectual property respect. Calls for timely risk assessment, categorized governance approaches, data security standards, secure development practices, enhanced AI interpretability and transparency, traceability systems, and international cooperation on safety governance.
Capacity building and multi-stakeholder governance
Emphasizes international cooperation to support developing countries through infrastructure collaboration, joint laboratories, education programs and high-quality datasets. Supports inclusive governance platforms involving governments, enterprises, research organizations and forums to enable dialogue on AI application practices, innovation and ethics across different countries and domains.
Controls
What this policy requires, forbids, grants or penalises, one control at a time and in our own words. Each control links to the official text, which is the authority. This is not legal advice.
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Themes covered 0 of 35
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Risk and scope 0 of 4
- Risk classification, not covered
- Prohibited practices, not covered
- Risk management system, not covered
- Impact assessment, not covered
Data and privacy 0 of 4
- Data governance and quality, not covered
- Data subject rights and consent, not covered
- Cross-border data transfer, not covered
- Copyright and training data, not covered
Transparency and records 0 of 4
- Transparency and disclosure to users, not covered
- Labelling of synthetic content, not covered
- Technical documentation, not covered
- Record keeping and logging, not covered
Technical safeguards 0 of 4
- Human oversight, not covered
- Accuracy, robustness and cybersecurity, not covered
- Bias and non-discrimination, not covered
- Testing and evaluation, not covered
Assurance and lifecycle 0 of 4
- Conformity assessment and certification, not covered
- Registration and notification, not covered
- Incident and breach reporting, not covered
- Post-market monitoring and corrective action, not covered
Rights and protected groups 0 of 4
- Automated decision-making rights, not covered
- Children and vulnerable groups, not covered
- Biometric identification and surveillance, not covered
- Whistleblowing, complaints and redress, not covered
Roles and organisation 0 of 6
- Supply chain and provider-deployer duties, not covered
- General purpose and foundation models, not covered
- Accountability and governance roles, not covered
- Training and AI literacy, not covered
- Public sector use and procurement, not covered
- Innovation support and sandboxes, not covered
Enforcement and sectors 0 of 5
- Enforcement, penalties and regulators, not covered
- Sector rules: health, not covered
- Sector rules: finance and insurance, not covered
- Sector rules: employment, not covered
- Sector rules: education, not covered
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Change history
No changes recorded since we began monitoring this policy.