Instructs education departments to integrate AI education in primary and secondary curricula, develop resources, and ensure teacher training. Sets 2030 as the target for universal AI education in schools. Encourages collaboration with enterprises and research institutions and prioritizes resource access in rural areas.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has minimal coverage of AI risk domains, focusing primarily on educational equity (6.2) and briefly addressing safe AI use (5.1), human-technology relationships (5.2), and AI ethics (7.1). The primary focus is on AI education policy rather than AI system risk mitigation.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
All other sectors had no coverage in this document.
Sectors Summary
This document primarily governs the Educational Services sector, establishing comprehensive requirements for AI education in primary and secondary schools across China. While it mentions collaboration with entities in Information, Scientific Research, and Professional Services sectors, these are support mechanisms rather than governed activities.
Hard Law
Legislative Status Summary
This is a binding administrative directive from China's Ministry of Education with mandatory language throughout, establishing enforceable requirements on subordinate education departments with monitoring and evaluation mechanisms.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
This document primarily addresses AI education and literacy rather than AI system development or deployment. The lifecycle coverage focuses on the use of existing AI tools by students in educational contexts, particularly generative AI tools. The document does not substantively cover AI system design, data collection, model building, validation, or deployment stages.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document mentions AI technologies, AI tools, and specifically generative AI tools in the context of education. It does not define AI models or AI systems technically, nor does it mention frontier AI, GPAI, foundation models, compute thresholds, or open-weight models. The focus is on AI as an educational subject rather than technical AI development.
Document data from AGORA, CSET Emerging Technology Observatory.