Establishes a coordination mechanism to balance AI development and safety, promotes standardized industry development and public data sharing, encourages innovation through international cooperation, and mandates ethical AI usage principles. Implements tiered AI risk assessment and supervision strategies.
- Authority: Chinese provincial and local governments
- Jurisdiction: China
- Collections: Chinese law and policy
- Most recent activity: Enacted
- Most recent activity date: 2022-11-01
Risk subdomain coverage
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
- 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
- Disinformation, surveillance, and influence at scale
- Fraud, scams, and targeted manipulation
- Increased inequality and decline in employment
- Environmental harm
- 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 governance failure (6.5), competitive dynamics (6.4), privacy compromise (2.1), security vulnerabilities (2.2), false information (3.1), discrimination (1.1, 1.3), lack of transparency (7.4), and lack of robustness (7.3). Coverage is concentrated in governance, privacy/security, discrimination, and AI system safety domains.
Sector coverage
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
- Information
- Scientific Research & Development Services
- Educational Services
- Health Care & Social Assistance
- Public Administration (excl. National Security)
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
- Agriculture, Mining, Construction & Manufacturing
- Trade, Transportation & Utilities
- Finance & Insurance
- Real Estate, Rental & Leasing
- Professional & Technical Services
- Arts, Entertainment & Recreation
- National Security
All other sectors had no coverage in this document.
Sectors Summary
This regulation governs AI use across virtually all economic sectors in Shenzhen, with particularly strong coverage of Public Administration, Health Care, Educational Services, Information, and Scientific Research sectors. The document establishes comprehensive governance for AI applications in government services, healthcare, education, social services, finance, manufacturing, and infrastructure.
Legislative Status
Hard Law
Legislative Status Summary
This is a binding regulation adopted by the Standing Committee of the People's Congress of Shenzhen Municipality with mandatory language throughout and explicit enforcement mechanisms including penalties and legal consequences for violations.
Actors
Proposer
- Entity Types: AI_Governance_Actor
- Entities: Standing Committee of the 7th People's Congress of Shenzhen Municipality
- Summary: The regulation was formally adopted by the Standing Committee of the People's Congress of Shenzhen Municipality, which is the legislative body with authority to create binding local regulations.
Target
- Entity Types: AI_Developer, AI_Deployer, AI_Infrastructure_Provider
- Entities: Higher learning institutions, scientific research institutions, enterprises and other organizations engaged in AI research and applications; AI enterprises; Medical institutions; State organs; Public enterprises and institutions
- Summary: The regulation applies broadly to all organizations and individuals engaged in AI research, development, and application, including enterprises, research institutions, educational institutions, and government bodies that use AI products and services.
Enforcer
- Entity Types: AI_Governance_Actor
- Entities: Shenzhen Municipal People's Government; municipal industry and information technology authorities; municipal competent industry authorities; municipal AI ethics committee; municipal market supervision authorities; municipal scientific and technological innovation authorities; municipal authorities of development and reform, education, public security, finance, human resources and social security, planning and natural resources, ecological environment, housing and construction, transport, commerce, health, state-owned assets, statistics, urban management and comprehensive law enforcement, government service data administration
- Summary: Multiple municipal government authorities are designated with enforcement responsibilities, with the municipal competent industry authorities having primary coordination and supervision duties, supported by the AI ethics committee and various specialized municipal departments.
Monitor
- Entity Types: AI_Governance_Actor
- Entities: municipal AI ethics committee; municipal competent industry authorities; municipal scientific and technological innovation authorities; industry organizations
- Summary: The AI ethics committee has explicit monitoring and evaluation duties, while the municipal competent industry authorities must publish annual implementation reports. Industry organizations are encouraged to conduct self-discipline management and monitoring.
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 stages of the AI lifecycle, with particularly strong emphasis on Plan and Design (research planning, standards development), Build and Use Model (R&D support, innovation platforms), Deploy (application scenarios, market access), and Operate and Monitor (ongoing supervision, ethical review). It addresses the complete lifecycle from basic research through operational monitoring.
Technical Scope
Terms relating to technical scope that are mentioned or implicitly referenced in the document
- AI Models
- AI Systems
- Open Weight / Open Source
Technical Scope Summary
The document broadly refers to 'artificial intelligence' and 'AI' throughout without distinguishing between specific technical categories. It does not explicitly mention frontier AI, general purpose AI, foundation models, generative AI, predictive AI, or compute thresholds. The focus is on AI systems and applications generally, with some references to specific technologies like deep synthesis. There is implicit coverage of open-source through mentions of open-source platforms and communities.