Requires clear labeling of AI-generated synthetic content in China through both explicit user-facing indicators and implicit metadata, mandates service providers and platforms to verify, disclose, and preserve such labels, and ensures compliance through regulatory oversight.
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 primarily addresses misinformation risks (3.1, 3.2) through mandatory labeling requirements for AI-generated content. It has good coverage of governance mechanisms (6.5) through regulatory oversight and compliance requirements. There is minimal coverage of malicious actor risks (4.1, 4.3) through provisions preventing label manipulation and fraud. The document focuses narrowly on transparency and disclosure rather than broader AI safety or discrimination concerns.
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 Information sector, specifically online information services, content platforms, and application distribution platforms. It applies broadly to any service provider offering AI-generated content across multiple media types (text, audio, video, images, virtual scenes).
Hard Law
Legislative Status Summary
This is a binding regulatory measure issued by the Chinese central government with mandatory language throughout, explicit enforcement mechanisms, and penalties for non-compliance administered by multiple regulatory departments.
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 focuses primarily on the Deploy and Operate and Monitor stages of the AI lifecycle, with comprehensive requirements for labeling AI-generated content at the point of deployment and ongoing monitoring of compliance. There is minimal coverage of earlier stages like planning, data collection, or model building.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly covers AI-generated synthetic content and generative AI services. It addresses both AI systems (through service providers) and the outputs of AI models. There is no mention of frontier AI, general purpose AI, foundation models, or compute thresholds. The focus is on generative AI capabilities across multiple modalities.
Document data from AGORA, CSET Emerging Technology Observatory.