Measures for the Management of Generative Artificial Intelligence Services (Draft for Comment)

Requires AI-generated content in China to meet a series of criteria, including accuracy, intellectual property protection, and respect for individual privacy; also requires AI developers to perform security assessments on their generative AI systems and submit those assessments to regulators.

  • Authority: Chinese central government
  • Jurisdiction: China
  • Collections: Chinese law and policy
  • Most recent activity: Proposed
  • Most recent activity date: 2023-04-11

Risk subdomain coverage

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

  • Unfair discrimination and misrepresentation
  • Exposure to toxic content
  • Compromise of privacy
  • AI system security vulnerabilities
  • False or misleading information
  • Disinformation, surveillance, and influence at scale
  • Fraud, scams, and targeted manipulation
  • Governance failure
  • Lack of capability or robustness
  • Lack of transparency or interpretability

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

  • Pollution of information ecosystem
  • Cyberattacks, weapon development or use
  • Overreliance and unsafe use
  • Power centralization and unfair distribution
  • Competitive dynamics

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 12-14 subdomains, with strong focus on toxic content (1.2), privacy compromise (2.1), security vulnerabilities (2.2), false information (3.1), disinformation/surveillance (4.1), fraud/manipulation (4.3), overreliance (5.1), power centralization (6.1), competitive dynamics (6.4), governance failure (6.5), and lack of robustness (7.3). Coverage is concentrated in content safety, privacy protection, misinformation prevention, and system reliability domains.

Sector coverage

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

  • Information

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

  • Scientific Research & Development Services
  • National Security

All other sectors had no coverage in this document.

Sectors Summary

This is an external regulation that applies horizontally across all sectors where generative AI services are provided to the public in China. The document does not target specific industries but rather regulates the provision of generative AI services regardless of sector. The primary sector governed is Information (technology companies providing AI services), but the regulations apply to any organization providing generative AI services in any sector.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding regulatory instrument with mandatory obligations, enforcement mechanisms, and specific penalties for non-compliance. The document uses mandatory language throughout and establishes clear legal responsibilities for AI service providers.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Summary: The document is formulated by Chinese government authorities based on existing Chinese laws. Article 1 states it is formulated 'on the basis of the Cybersecurity Law of the People's Republic of China, the Data Security Law of the People's Republic of China, the Personal Information Protection Law of the People's Republic of China, and other such laws and administrative regulations.'

Target

  • Entity Types: AI_Developer, AI_Deployer
  • Summary: The document explicitly targets providers of generative AI services. Article 2 defines the scope as applying to 'research, development, and use of products with generative AI functions, and to the provision of services to the public.' Article 5 specifically defines the target entities as 'Organizations or individuals that use generative AI to provide services.'

Enforcer

  • Entity Types: AI_Governance_Actor
  • Summary: Multiple articles establish enforcement authority with the Cyberspace Administration of China and related government departments. Article 6 requires security assessments to be submitted to the state cyberspace and information department. Article 20 explicitly grants enforcement powers to impose penalties.

Monitor

  • Entity Types: AI_Governance_Actor, Affected_Stakeholder
  • Summary: The document establishes monitoring responsibilities for government departments and also empowers users to report violations. Article 17 requires providers to provide information to authorities. Article 18 grants users the right to report non-compliant content.

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 comprehensively covers all AI lifecycle stages from planning through operational monitoring. It addresses design requirements (Article 4), data collection and processing (Articles 7-8), model building (Articles 3, 7), verification and validation (Article 6), deployment (Articles 6, 9-10), and ongoing operation and monitoring (Articles 11-19). The emphasis is particularly strong on the deployment and operational monitoring stages.

Technical Scope

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

  • AI Models
  • AI Systems
  • Generative AI

Technical Scope Summary

The document explicitly focuses on generative AI, defining it in Article 2 as 'technologies generating text, image, audio, video, code, or other such content based on algorithms, models, or rules.' It does not distinguish between frontier AI, general purpose AI, or task-specific AI, nor does it mention foundation models, compute thresholds, or open-weight models. The scope is broad, covering all generative AI products and services provided to the public in China.

https://digichina.stanford.edu/work/translation-measures-for-the-management-of-generative-artificial-intelligence-services-draft-for-comment-april-2023/
https://agora.eto.tech/instrument/37
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Document data from AGORA, CSET Emerging Technology Observatory.