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New AI Content Labeling Rules Take Effect September 1

China Implements Strict AI Content Labeling Standards

A significant regulatory change is coming to China's artificial intelligence sector as the national standard GB45438-2025, "Methods for Identifying Artificial Intelligence Generated and Synthesized Content," takes effect on September 1, 2025. This mandatory regulation will fundamentally alter how AI-generated content (AIGC) is identified and managed throughout the digital ecosystem.

Dual Identification System

The standard establishes a comprehensive dual identification framework:

Explicit Identification Requirements

  • Text content: Must display "Artificial Intelligence" or "AI Generated" at beginning/end in clearly visible font
  • Images: Require corner labels with font size ≥5% of shortest image side
  • Video: Initial screen must show label for minimum 2 seconds
  • Audio: Must include voice prompt "AI Generated" or specific Morse code rhythm (short-long-short-short)
  • Interactive applications: Continuous display of "Provided by AI" in interface

Image

Implicit Technical Standards

The regulation mandates embedded metadata in JSON format containing:

  • AI generation confirmation status
  • Service provider information
  • Dissemination platform details
  • Unique identification numbers
  • Digital signatures/hash verification

The metadata fields must include the "AIGC" identifier for machine readability.

Expanded Accountability Framework

The standard creates a chain of responsibility that extends beyond content creators to include:

  1. AI generation service providers
  2. Content dissemination platforms
  3. Distribution channels
  4. End-user interfaces

Platforms of all sizes must implement identification management systems or face potential consequences including traffic restrictions, mandatory rectification, or service suspension.

Compliance Consequences

Non-compliant organizations risk:

  • Rejection during industry entry/filing processes
  • Automated risk control flags limiting content distribution
  • Legal liabilities for fraudulent/misleading content
  • Potential offline removal of services

The most severe penalties apply to cases involving deepfake technology, face-swapping, or misleading virtual human representations where complete content provenance cannot be established.

Industry Implementation Challenges

The regulation presents fundamental technical challenges requiring:

  • Architectural redesigns to support structured identification
  • Front-end display logic modifications
  • Back-end metadata writing systems
  • Content tracking throughout distribution chains

Existing products may require significant upgrades to meet the September 1 deadline.

Key Points:

  1. Mandatory compliance begins September 1, 2025 for all AI-generated content in China
  2. Dual labeling system combines human-readable tags with machine-readable metadata
  3. Chain of responsibility extends from creators through distribution channels
  4. Strict formatting rules vary by content type (text, image, video, audio)
  5. Non-compliance risks include operational restrictions and legal consequences

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