Measures for Labeling of AI-Generated Synthetic Content

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.

  • Authority: Chinese central government
  • Jurisdiction: China
  • Collections: Chinese law and policy;Editors' Picks
  • Most recent activity: Enacted
  • Most recent activity date: 2025-03-07

Risk subdomain coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.

  • False or misleading information
  • Governance failure
  • Lack of transparency or interpretability

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

  • AI system security vulnerabilities
  • Pollution of information ecosystem
  • Disinformation, surveillance, and influence at scale
  • Fraud, scams, and targeted manipulation

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.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

  • Information

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

  • Arts, Entertainment & Recreation
  • Public Administration (excl. National Security)

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).

Legislative Status

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.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Summary: The document is drafted by government authorities based on existing PRC laws and regulations, representing central government regulatory authority over AI-generated content.

Target

  • Entity Types: AI_Developer, AI_Deployer, AI_Infrastructure_Provider
  • Summary: The measures explicitly apply to service providers offering AI generation/synthesis services, platforms transmitting AI-generated content, and application distribution platforms. These entities develop, deploy, and provide infrastructure for AI systems.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Summary: Multiple government regulatory departments are explicitly designated to enforce compliance with these measures through existing legal frameworks.

Monitor

  • Entity Types: AI_Governance_Actor
  • Summary: The document establishes monitoring through platform-level reviews during application distribution and ongoing regulatory oversight through filing and safety assessment procedures.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

  • Verify and Validate
  • Deploy
  • Operate and Monitor

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.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

  • AI Systems
  • Generative AI

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.

https://www.chinalawtranslate.com/en/ai-labeling/
https://agora.eto.tech/instrument/2096
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Document data from AGORA, CSET Emerging Technology Observatory.