Regulates AI-related activities, requiring ethics reviews for research involving human-computer fusion systems and automated decision-making systems impacting safety or health. Directs entities to establish ethics review committees. Governs algorithmic data handling, mandating transparency and ethical risk assessments.
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 10-12 subdomains, with strong focus on privacy compromise (2.1), AI system security (2.2), overreliance and unsafe use (5.1), loss of agency and autonomy (5.2), governance failure (6.5), goal misalignment (7.1), dangerous capabilities (7.2), lack of robustness (7.3), and lack of transparency (7.4). Coverage is concentrated in privacy/security, human-computer interaction, governance, and AI safety domains.
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 the Scientific Research and Development Services sector, with significant coverage of Health Care and Social Assistance, Educational Services, and Information sectors. It applies to research institutions, universities, medical facilities, and enterprises conducting S&T activities in areas such as AI, life sciences, and medicine.
Hard Law
Legislative Status Summary
This is a binding regulatory instrument with mandatory language throughout, explicit enforcement mechanisms including penalties and sanctions, and formal administrative oversight structures. The document uses mandatory terms like 'shall' extensively and establishes legal consequences for non-compliance.
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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 the Plan and Design, Verify and Validate, Deploy, and Operate and Monitor stages. It establishes ethics review requirements that span 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, algorithmic models, and automated decision-making systems. It does not use terms like 'frontier AI', 'general purpose AI', 'foundation models', or 'generative AI' but focuses on functional descriptions of AI capabilities and risks. There is no mention of compute thresholds or open-weight models.
Document data from AGORA, CSET Emerging Technology Observatory.