AI Summary: China AI Content Labeling Rules is an effective AI regulation
in CN
focused on content_labeling.
Maximum penalty: CAC enforcement measures.
Nerq has assessed 41,734 agents against applicable risk classifications.
AI Agent Compliance: China AI Content Labeling Rules
China AI Content Labeling Rules is a currently effective regulation focused on content_labeling in CN. It establishes a risk-based framework for AI systems with penalties up to CAC enforcement measures for non-compliance.
Overview
| Status | effective |
| Effective Date | 2025-09-01 |
| Region | CN |
| Country | CN |
| Focus Area | content_labeling |
| Max Penalty | CAC enforcement measures |
| Per Violation | Content removal + penalties |
| Source | Official text |
Risk Model
sector_specific
Risk Classes
- ai_content_provider
- ai_content_distributor
High-Risk Criteria
- {'ai_generated_content': ['text', 'image', 'audio', 'video', 'vr'], 'triggers': ['content_generation', 'content_distribution']}
Requirements
- Explicit AI content labels (text, audio, image indicators)
- Implicit labels (metadata, provider ID, content ID)
- Platform detection mechanisms
- Label reinforcement by distributors
Agent Risk Distribution
41,126
minimal
401
high
207
limited
Top Agents by Compliance Score
| Agent | Compliance | Risk Class | Trust Score |
|---|---|---|---|
| openagents | 100.0 | minimal | 90.0 |
| manaflow-ai/cmux | 100.0 | minimal | 87.0 |
| auth0/auth0-mcp-server | 100.0 | minimal | 85.3 |
| donaldfilimon/abi | 100.0 | minimal | 81.4 |
| mcp-sequentialthinking-tools | 100.0 | minimal | 81.2 |
| atelier | 100.0 | minimal | 80.0 |
| attune-ai | 100.0 | minimal | 79.2 |
| gizmax/Sandcastle | 100.0 | minimal | 77.7 |
| hivemoot/hivemoot | 100.0 | minimal | 77.6 |
| coo-quack/calc-mcp | 100.0 | minimal | 76.8 |
Frequently Asked Questions
What are the compliance requirements under China AI Content Labeling Rules?
China AI Content Labeling Rules requires AI systems to meet specific regulatory standards focused on content_labeling. Nerq automatically checks AI agents against these requirements.
How does China AI Content Labeling Rules classify AI risk?
China AI Content Labeling Rules uses a risk-based classification: sector_specific. Nerq maps each agent to the applicable risk class.
What are the penalties under China AI Content Labeling Rules?
Non-compliance with China AI Content Labeling Rules can result in penalties up to CAC enforcement measures. Use Nerq to identify compliance gaps before enforcement.