Requires AI-generated content in China to meet a series of criteria, including accuracy, intellectual property protection, and respect for individual privacy; also requires AI developers to perform security assessments on their generative AI systems and submit those assessments to regulators.
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 12-14 subdomains, with strong focus on toxic content (1.2), privacy compromise (2.1), security vulnerabilities (2.2), false information (3.1), disinformation/surveillance (4.1), fraud/manipulation (4.3), overreliance (5.1), power centralization (6.1), competitive dynamics (6.4), governance failure (6.5), and lack of robustness (7.3). Coverage is concentrated in content safety, privacy protection, misinformation prevention, and system reliability 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
This is an external regulation that applies horizontally across all sectors where generative AI services are provided to the public in China. The document does not target specific industries but rather regulates the provision of generative AI services regardless of sector. The primary sector governed is Information (technology companies providing AI services), but the regulations apply to any organization providing generative AI services in any sector.
Hard Law
Legislative Status Summary
This is a binding regulatory instrument with mandatory obligations, enforcement mechanisms, and specific penalties for non-compliance. The document uses mandatory language throughout and establishes clear legal responsibilities for AI service providers.
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 comprehensively covers all AI lifecycle stages from planning through operational monitoring. It addresses design requirements (Article 4), data collection and processing (Articles 7-8), model building (Articles 3, 7), verification and validation (Article 6), deployment (Articles 6, 9-10), and ongoing operation and monitoring (Articles 11-19). The emphasis is particularly strong on the deployment and operational monitoring stages.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly focuses on generative AI, defining it in Article 2 as 'technologies generating text, image, audio, video, code, or other such content based on algorithms, models, or rules.' It does not distinguish between frontier AI, general purpose AI, or task-specific AI, nor does it mention foundation models, compute thresholds, or open-weight models. The scope is broad, covering all generative AI products and services provided to the public in China.
Document data from AGORA, CSET Emerging Technology Observatory.