Establishes the National Science and Technology Ethics Commission to guide S&T ethics governance. Requires entities like universities and businesses to form ethics committees, focusing on AI. Emphasizes AI ethical risk assessment, transparency, and compliance. Strengthens AI ethics education and regulatory frameworks.
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 good coverage of approximately 8-10 subdomains, with strong focus on governance structures (6.5), AI system safety and ethics (7.1, 7.3, 7.4), privacy protection (2.1), and malicious use prevention (4.2). Coverage is concentrated in governance, AI safety, and ethical oversight domains, with particular emphasis on establishing review mechanisms and preventing ethical violations.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
The document primarily governs Scientific Research and Development Services, Educational Services, and Health Care sectors, with explicit requirements for institutions engaged in life sciences, medicine, and AI research. It also applies to all sectors through general S&T ethics requirements for universities, research institutions, medical institutions, and enterprises conducting S&T activities.
Soft Law
Legislative Status Summary
This is a draft guidance document ('Draft for Feedback') using primarily voluntary and recommendatory language ('shall' in aspirational context), establishing principles and frameworks rather than binding legal obligations with enforcement 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
The document covers the entire AI lifecycle with particular emphasis on the Plan and Design, Verify and Validate, and Operate and Monitor stages. It establishes comprehensive ethics review requirements before, during, and after S&T activities, with strong focus on risk assessment, ongoing monitoring, and emergency response mechanisms.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI systems and AI activities multiple times, with specific focus on artificial intelligence as a key field requiring ethics governance. It does not define specific AI subcategories like frontier AI, general purpose AI, or foundation models, nor does it mention compute thresholds or open-weight models.
Document data from AGORA, CSET Emerging Technology Observatory.