Global AI Governance Initiative

Calls for global cooperation to enhance AI governance, prevent risks, and ensure equitable access. Opposes AI misuse, disinformation, and sovereignty violations. Promotes ethical principles, legal frameworks, and equal rights in AI development. Encourages international collaboration, especially supporting developing countries.

  • Authority: Chinese central government
  • Jurisdiction: China
  • Collections: Chinese law and policy
  • Most recent activity: Enacted
  • Most recent activity date: 2023-10-18

Risk subdomain coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.

  • Disinformation, surveillance, and influence at scale
  • Cyberattacks, weapon development or use
  • Power centralization and unfair distribution
  • Competitive dynamics
  • Governance failure

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

  • Unfair discrimination and misrepresentation
  • Unequal performance across groups
  • Compromise of privacy
  • AI system security vulnerabilities
  • False or misleading information
  • Pollution of information ecosystem
  • Fraud, scams, and targeted manipulation
  • Overreliance and unsafe use
  • Loss of human agency and autonomy
  • Environmental harm
  • AI pursuing its own goals
  • AI possessing dangerous capabilities
  • Lack of capability or robustness
  • Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 10-12 subdomains, with strong focus on malicious actors (4.1, 4.2), AI system security (2.2), misinformation (3.1, 3.2), discrimination (1.1), privacy (2.1), governance failure (6.5), competitive dynamics (6.4), and AI safety concerns (7.1, 7.3, 7.4). Coverage is concentrated in security, misuse prevention, governance, and fairness domains.

Sector coverage

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

  • Scientific Research & Development Services
  • Public Administration (excl. National Security)
  • National Security

All other sectors had no coverage in this document.

Sectors Summary

This is a cross-sectoral international governance initiative that does not target specific economic sectors. Instead, it establishes broad principles for AI governance applicable across all sectors globally. The document explicitly mentions military applications and references general societal impacts, but does not regulate specific industries.

Legislative Status

Soft Law

Legislative Status Summary

This is a non-binding international declaration that uses voluntary language ('should', 'call on', 'welcome') and lacks formal enforcement mechanisms, penalties, or sanctions. It represents principles and recommendations for global AI governance cooperation.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Summary: The document is explicitly identified as being issued by the Chinese central government authority in the document metadata. It represents a state-level initiative calling for global AI governance cooperation.

Target

  • Entity Types: AI_Governance_Actor, AI_Developer, AI_Deployer
  • Summary: The document explicitly addresses multiple stakeholder types including governments, companies, research institutes, and R&D entities. It calls for participation from all countries and various organizational types in AI governance.

Enforcer

  • Summary: No specific enforcement body or mechanism is designated in this document. It is a voluntary, non-binding declaration without formal enforcement provisions.

Monitor

  • Entity Types: AI_Governance_Actor
  • Summary: The document proposes the establishment of an international institution within the UN framework to coordinate AI governance efforts, which would serve a monitoring and coordination function.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

  • Plan and Design
  • Collect and Process Data
  • Build and Use Model
  • Verify and Validate
  • Deploy
  • Operate and Monitor

AI Lifecycle Summary

The document addresses multiple AI lifecycle stages with emphasis on development practices (Build and Use Model), deployment considerations, and ongoing monitoring. It covers the entire lifecycle from design principles through operational oversight, with particular focus on governance frameworks that span all stages.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

  • AI Systems
  • Open Weight / Open Source

Technical Scope Summary

The document uses general terminology referring to 'AI technologies' and 'AI systems' broadly without defining specific technical categories. It does not explicitly mention frontier AI, general purpose AI, foundation models, generative AI, or compute thresholds. The focus is on AI governance principles applicable across all AI types.

https://www.cac.gov.cn/2023-10/18/c_1699291032884978.htm
https://agora.eto.tech/instrument/1144
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Document data from AGORA, CSET Emerging Technology Observatory.