Establishes ethics review committees for S&T activities, including AI, to assess ethical risks. Requires committees to follow principles of independence and transparency. Dictates emergency review procedures and mandates expert reconsideration for high-risk AI activities. Specifies penalties for violations.
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 failure (6.5), AI system security (2.2), privacy compromise (2.1), lack of transparency (7.4), goal misalignment (7.1), dangerous capabilities (7.2), and lack of robustness (7.3). Coverage is concentrated in governance structures, privacy/security, and AI safety domains, with minimal coverage of discrimination, misinformation, or socioeconomic impacts.
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 governs S&T activities across multiple sectors, with explicit coverage of Scientific Research and Development Services, Health Care and Social Assistance, Educational Services, and Information sectors. It applies to institutes of higher education, scientific research institutions, medical and health institutions, and enterprises engaged in life sciences, medicine, and artificial intelligence.
Hard Law
Legislative Status Summary
This is a binding regulatory instrument with mandatory language throughout ('shall', 'must'), explicit enforcement mechanisms including penalties and sanctions, and formal administrative oversight structures. The document establishes legally enforceable obligations for S&T ethics reviews with clear consequences for non-compliance.
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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 comprehensively covers all stages of the AI lifecycle, with particularly strong emphasis on Plan and Design (through ethical risk assessment requirements), Verify and Validate (through the detailed review procedures), and Operate and Monitor (through follow-up review requirements). It addresses the entire lifecycle from initial planning through ongoing operational monitoring.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI systems and activities, with specific focus on high-risk AI applications including algorithmic models, automated decision-making systems, and human-computer fusion systems. It does not use terms like 'frontier AI', 'general purpose AI', 'foundation models', or 'generative AI', but addresses AI broadly through references to 'artificial intelligence' and specific AI applications. No compute thresholds or open-weight model distinctions are mentioned.
Document data from AGORA, CSET Emerging Technology Observatory.