National New Generation AI Standards System Construction Guide

• Authority: Chinese central government
• Jurisdiction: China
• Collections: Chinese law and policy
• Most recent activity: Proposed
• Most recent activity date: 2020-08-05

Risk subdomain coverage

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

• Compromise of privacy
• AI system security vulnerabilities
• Governance failure
• Lack of capability or robustness

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

• Overreliance and unsafe use
• Competitive dynamics
• Environmental harm
• Lack of transparency or interpretability
• Multi-agent risks

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 8-10 subdomains, with strong focus on AI system security (2.2), privacy protection (2.1), lack of transparency (7.4), governance structures (6.5), and sector-specific safety considerations (7.3). Coverage is concentrated in security, privacy, system reliability, and standardization domains, with minimal coverage of discrimination, misinformation, or malicious actor risks.

Sector coverage

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

• Agriculture, Mining, Construction & Manufacturing
• Trade, Transportation & Utilities
• Information
• Finance & Insurance
• Educational Services
• Health Care & Social Assistance
• Arts, Entertainment & Recreation
• Public Administration (excl. National Security)

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

• Professional & Technical Services
• Scientific Research & Development Services
• Accommodation, Food & Other Services
• National Security

All other sectors had no coverage in this document.

Sectors Summary

The document governs AI applications across 16 explicitly named sectors with comprehensive coverage. Primary focus areas include manufacturing, healthcare, finance, transportation, and education. The document provides detailed standardization requirements for each sector, making this a cross-sectoral AI governance framework.

Legislative Status

Soft Law

Legislative Status Summary

This is a guidance document that establishes a framework for AI standardization using predominantly voluntary language ('should', 'focus on', 'standardize') without binding legal obligations, enforcement mechanisms, or penalties. It provides recommendations and guidelines for standards development rather than mandatory requirements.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is formulated to implement decisions of the Party Central Committee and State Council on AI development. It represents government-led standardization guidance for the AI industry.

Target

• Entity Types: AI_Developer, AI_Deployer, AI_Infrastructure_Provider
• Summary: The document targets entities involved in AI development, deployment, and standardization across multiple industries. It applies to those developing AI systems, algorithms, platforms, and applications in various sectors.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The document references government guidance and standards implementation/supervision but does not name specific enforcement agencies. Enforcement appears to be through standards adoption and government oversight.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The document establishes plans for monitoring through a standards testing and verification platform and references evaluation and assessment mechanisms throughout the standards system.

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 monitoring. It emphasizes standards development across the entire lifecycle, with particularly strong focus on Build and Use Model (machine learning, algorithms), Verify and Validate (testing and evaluation standards), and Operate and Monitor (security, performance monitoring). The document addresses both development and deployment phases systematically.

Technical Scope

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

• AI Models
• AI Systems
• General Purpose AI
• Generative AI
• Open Weight / Open Source
• Predictive AI
• Task-specific AI

Technical Scope Summary

The document extensively covers AI models, AI systems, and various technical components. It does not explicitly mention frontier AI, general purpose AI, or specific compute thresholds. It addresses both generative capabilities (through VR/AR, computer vision, speech synthesis) and predictive capabilities (through pattern recognition, machine learning). No explicit mention of open-weight/open-source models or compute thresholds.