China - AI Standardization Guidance

Overview

The Guidance on Building the National New Generation Artificial Intelligence Standardization System (国家新一代人工智能标准体系建设指南) is a strategic policy framework published on July 27, 2020 and circulated across national and provincial administrations to guide the construction of an AI standardization ecosystem in China. It was issued jointly by the National Standardization Administration Commission together with the Cyberspace Administration of China, the National Development and Reform Commission, the Ministry of Science and Technology, and the Ministry of Industry and Information Technology, and appears as a publicly released attachment in the central government policy repository. The Guidance sets out a layered standard architecture (basic, foundational, application and management standards), prioritizes standardization tasks (terminology, data quality, model evaluation, security, testing and conformity assessment), and requires the establishment of testbeds and verification platforms to provide public services for standard validation and certification. It also mandates inter-departmental coordination and regional pilot programs to accelerate the standardization process and to align domestic standards activity with international engagement. For the official notice and the full text in China’s central policy repository see Government Notice (gov.cn) and the attached PDF 国家新一代人工智能标准体系建设指南 (PDF). ([gov.cn](https://www.gov.cn/zhengce/zhengceku/2020-08/09/content_5533454.htm))

Definitions

The Guidance defines the standardization system as a hierarchical and interoperable framework composed of: (1) basic standards — shared terminology, reference models and metadata schemas; (2) foundational technical standards — core algorithms, data formats, model training and evaluation methods; (3) application standards — sector- and scenario-specific specifications (e.g., medical imaging AI, financial risk assessment systems); and (4) management standards — testing, certification, safety assurance, security and lifecycle governance. It distinguishes between national, industry and local standards and highlights ‘standard testbeds’ and ‘verification platforms’ as institutions providing conformity assessment support. The document frames standardization as both a technical and governance activity that supports innovation while protecting public interests.

Governance and Institutional Framework

The Guidance establishes roles for central standardization authorities and for line ministries in coordinating an AI standards agenda. The National Standardization Administration Commission leads overall planning and coordination, while the Cyberspace Administration contributes policy direction for algorithm governance and security, the National Development and Reform Commission aligns standards with industrial planning, and the Ministry of Science and Technology and the Ministry of Industry and Information Technology support technical research, testbed construction and industrial uptake. The Guidance calls for specialized standardization technical committees and expert working groups to be established or empowered to draft prioritized standards, and asks provincial authorities to run pilot programs and local test platforms. It further requires clear division of responsibilities for drafting, review, validation and promotion of standards, and encourages collaboration between government, industry, academia, research institutes and conformity assessment bodies to operationalize standard development and testing activities. For the original issuing agencies and formal notice, see the central publication Government Notice (gov.cn). ([gov.cn](https://www.gov.cn/zhengce/zhengceku/2020-08/09/content_5533454.htm))

Key Focus Areas

The Guidance highlights several prioritized domains for immediate standardization work. These include: (1) terminology and reference architecture to reduce ambiguity and enable interoperability across systems; (2) data quality, labeling, and dataset specifications to ensure reliable training and evaluation; (3) model performance metrics, benchmarks and evaluation methodologies to support fair, reproducible assessment; (4) robustness, adversarial resilience, and model security to protect systems and data; (5) privacy-preserving techniques and measures to ensure personal information protection in line with applicable laws; (6) conformity assessment procedures and testbeds to operationalize verification and certification; and (7) sector-specific standards for healthcare, finance, transportation and public services with scenario-based requirements for safety, traceability and accountability. The Guidance further encourages development of open benchmarks and shared test datasets under controlled conditions, the creation of public standard testbeds offering verification services, and the promotion of voluntary industry standards that can be proposed for national adoption. These focus areas are intended to balance technological development with safety, fairness and legal compliance. ([gov.cn](https://www.gov.cn/zhengce/zhengceku/2020-08/09/5533454/files/bf4f158874434ad096636ba297e3fab3.pdf))

Implementation Framework

Implementation is described as a coordinated program involving national planning, technical committee activity, pilot projects and resource allocation for testing and infrastructure. The Guidance sets out steps including: setting up and prioritizing standard development projects; forming specialized working groups and national technical committees responsible for drafting standards; building public test and verification platforms and pilot zones; integrating standards research into national R&D projects and industry programs; encouraging enterprises and labs to participate in drafting and trial application; and establishing mechanisms for feedback, revision and continual improvement of standards. The document directs government agencies to support funding and administrative measures that accelerate draft-to-adoption timelines and recommends that conformity assessment bodies develop testing methods and certification schemes aligned to drafted standards. The Guidance also emphasizes interoperability by requiring harmonized data formats and protocols to facilitate system integration across sectors and geographies. ([gov.cn](https://www.gov.cn/zhengce/zhengceku/2020-08/09/5533454/files/bf4f158874434ad096636ba297e3fab3.pdf))

Monitoring and Evaluation

The Guidance requires periodic review and monitoring of standardization progress through reporting mechanisms coordinated by the leading national standardization body. Performance indicators include number of standards drafted and adopted, number of testbeds and verification services established, results from pilot demonstrations, industry uptake metrics and measures of international collaboration (e.g., participation in ISO/IEC technical committees). The Guidance further recommends establishing metrics to evaluate the effectiveness of standards in improving safety, reducing interoperability friction and supporting commercial deployment. It also encourages public summaries of standardization outcomes and regular revision cycles to keep pace with technical advances.

Penalties, Liability, and Appeals

As a non-statutory guidance document, it does not itself create new criminal penalties; however, it indicates that standardized requirements should be reflected in subsequent regulatory and conformity-assessment regimes, and that failure to meet required safety or certification conditions in regulated sectors may result in administrative actions under existing laws (for example those governing cybersecurity, data protection, consumer protection and product supervision). The Guidance contemplates that market supervision and conformity-assessment bodies will use standards to inform enforcement, labeling, and certification requirements; any penalties or appeals procedures will follow the existing administrative and judicial frameworks applicable to the sector concerned.

Relationship to Other Instruments

The Guidance is positioned within a broader policy architecture that includes China’s New Generation Artificial Intelligence Development Plan (2017), laws and regulations on cybersecurity, data security and personal information protection, industry-specific rules, and later policy documents and ethics guidance. It serves as a central coordination document to align standardization work with those instruments and to provide technical specificity where laws provide broad principles. The Guidance also anticipates that many standards will be referenced or incorporated into procurement rules, certification regimes and sectoral regulatory requirements.

International Alignment

The Guidance encourages participation in international standards organizations (including ISO/IEC and other multilateral bodies) and seeks to strengthen China’s ability to both adopt relevant international standards and to promote Chinese standards internationally. It calls for tracking global standardization trends, coordinating domestic drafting with international processes, and exploring mutual recognition or compatibility arrangements where feasible. The document therefore frames domestic standardization as part of a broader strategy to influence and align with global norms while protecting national security and sensitive technologies.

Implementation Timeline

Phase	Timeframe (indicative)	Key Actions
Kick-off	2020 (issuance)	Set priorities, form committees, begin drafting core standards
Pilot and testbed construction	2020-2022	Establish testbeds, run pilot standards in selected scenarios, develop benchmarks
Conformity & scaling	2022-2024	Develop certification schemes, scale standards adoption across regions and industries
Revision & internationalization	2024 onwards	Iterative revision and alignment with international standards

Compliance Checklist

Item	Action
Standards participation	Join relevant technical committees and working groups
Terminology & metadata	Adopt national reference terminology and data schemas where applicable
Testing & evaluation	Use accredited testbeds and conform to described evaluation metrics
Security & privacy	Implement required data handling, privacy-preserving measures and model security best practices
Certification	Undergo conformity assessment where standards are linked to certification requirements

Sources and References

Source	Type
Five Departments Notice: Issuing the Guidance on the National New Generation AI Standardization System (Government notice)	Primary Source
国家新一代人工智能标准体系建设指南 (PDF)	Primary Source
Ministry of Industry and Information Technology: Announcement of the Guidance	Primary Source