Key Points
- China’s Cyberspace Administration (Zhongyang Wangxinban 中央网信办) launched a four-month “Clear and Bright” campaign to regulate the AI industry.
- The campaign has a two-phase strategy: Phase One focuses on the “source code and foundation of AI systems” (e.g., proper filing of large models, data integrity), while Phase Two targets “output and content AI generates” (e.g., misinformation, illegal content, digital swill).
- Key issues targeted in Phase One include failure to file large models properly, weak security, and AI data poisoning attacks, with some tutorials for poisoning being sold on platforms like Taobao 淘宝 and Douyin 抖音.
- Phase Two addresses problems like AI-generated misinformation and fake news, identity theft/impersonation (deepfakes), and the use of AI for “Internet Water Armies” (Wangluo Shuijun 网络水军) and other illegal activities.
- The campaign underscores that compliance is mandatory for AI companies, content platforms, and MCN institutions in China, with penalties ranging from account suspension to platform bans for non-compliance.
China just launched a massive regulatory push to clean up its AI industry.
The Cyberspace Administration of China (Zhongyang Wangxinban 中央网信办) rolled out a four-month special campaign called “Clear and Bright: Rectification of AI Application Chaos” to tackle everything from sketchy training data to AI-generated misinformation.
Here’s what you need to know about why this matters, what’s being targeted, and what it means for the AI ecosystem in China.
Why China Is Cracking Down on AI Right Now
The regulatory push has three core goals:
- Regulate AI services and applications across the board
- Promote healthy and orderly development of the industry
- Protect citizens’ rights and interests online
Translation: AI is moving fast in China, and the government wants to make sure platforms aren’t cutting corners on security, ethics, or compliance.
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The Two-Phase Strategy: From Source to Output
This isn’t a one-size-fits-all regulation.
The campaign splits into two distinct phases, each targeting different parts of the AI supply chain:
Phase One: “Special Action on Typical Violations in AI Application Services”
Focus: The source code and foundation of AI systems.
Phase one is all about what happens before an AI model hits the public.
This includes scrutinizing how companies build, train, and secure their large language models (LLMs) and AI applications.
Phase Two: “Special Action to Rectify AI Information Content Chaos”
Focus: The output and content AI generates.
Phase two tackles what happens after AI creates content—specifically, how that content is used, distributed, and whether it violates laws or ethical standards.
Think of it this way: Phase One polices the factory, Phase Two polices what leaves the factory.
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Phase One Deep Dive: Seven Technical and Structural Issues
- Legal Filing: Compulsory registration of LLMs with authorities.
- Security Assets: Implementation of safety barriers and value-alignment.
- Data Hygiene: Preventing use of copyrighted or illegal training corpora.
- Attack Mitigation: Counteracting data poisoning and malicious SEO.
- Labeling Standards: Enforcing clear watermarks on synthetic content.
Here are the seven major problems the first stage is targeting:
1. Failure to File Large Models Properly
Companies must register their large language models with cyberspace departments under China’s “Interim Measures for the Management of Generative Artificial Intelligence (Rengong Zhinen 人工智能) Services.”
Many haven’t complied.
The campaign is cracking down on anyone who skipped this step.
2. Weak Security and Audit Capabilities
Some AI platforms are shipping without proper safety features.
Common problems include:
- Biased value orientations baked into the model during design
- Missing safety barriers that should prevent harmful outputs
- Generated content containing illegal links or references
Regulators want platforms to prove they’ve audited their systems for these issues.
3. Training Data Integrity Issues
What goes in is everything.
The campaign is scrutinizing training corpora for:
- Illegal data sources – Including unauthorized use of copyrighted text, images, and audio/video
- Harmful information – Making sure training data doesn’t contain illegal or dangerous content
- Source verification – Ensuring all training data was legally acquired
4. AI Data Poisoning Attacks
Bad actors are tampering with training data in sneaky ways.
The campaign targets:
- Tampering with training datasets to manipulate model behavior
- Forging authoritative data to game systems
- Using GEO (Generative Search Engine Optimization) for malicious marketing purposes
- Selling “poisoning” tutorials on e-commerce platforms like Taobao (Taobao 淘宝) and Douyin (Douyin 抖音)
5. Missing or Improper AI Content Labels
China requires AI-generated synthetic content to be clearly labeled under the “Measures for Labeling of Artificial Intelligence (Rengong Zhinen 人工智能) Generated Synthetic Content.”
But many creators are:
- Not labeling content at all
- Making labels too small to read
- Placing labels in hard-to-notice spots
The crackdown wants compliance fixed across the board.
6. Abuse of AI for Criminal Activities
This covers serious misuses like:
- Using AI for network attacks or hacking
- Unauthorized deepfakes for financial gain or fraud
- “Digital humans” (AI avatars) impersonating professionals—doctors, financial advisors, etc.
- Voice cloning and face-swapping without consent
7. Poor Management in Open-Source AI Communities
Open-source platforms are breeding grounds for security issues.
Regulators are pushing for better:
- Identity authentication requirements
- Security management of datasets and model code
- Monitoring of who can contribute and download models
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Phase Two Deep Dive: Seven Content-Related Issues
Once AI models are live, what they produce matters just as much as how they were built.
Phase two targets seven categories of harmful content:
1. “Digital Swill” and Cultural Distortion
Low-quality, mass-produced AI content is flooding platforms.
This includes:
- Distortions of traditional Chinese culture or historical figures
- Logically incoherent, worthless content
- Cheap knock-off content designed purely for engagement farming
2. AI-Generated Misinformation and Fake News
AI is making it easier to spread rumors.
Targets include:
- False claims about public policy or government announcements
- Fabricated international relations or geopolitical news
- Fake emergency alerts or crisis information
- Impersonation of government agencies or media outlets
3. Identity Theft and Impersonation
Deepfakes are a major concern.
The campaign targets:
- Face-swapping or voice-cloning to impersonate public figures for profit
- Using AI to “resurrect” deceased people inappropriately
- Impersonation scams using synthetic media
4. Violent and Sexually Explicit Content
AI is being used to generate:
- Bloody or terrifying images and videos
- Sexually suggestive or pornographic content
- Gore and extreme violence
5. Exploitation and Cyberbullying of Minors
This is particularly serious.
Violations include:
- AI-generated images used to cyberbully children
- “Cult-style” videos created using popular children’s characters
- Sexual content involving minors
6. AI-Powered “Internet Water Armies” (Wangluo Shuijun 网络水军)
Automated inauthentic behavior is spreading online.
This includes:
- Using AI to batch-register fake accounts
- Simulating human interaction to manipulate engagement metrics
- Coordinated campaigns to artificially boost posts or manipulate public opinion
- Fake comment generation at scale
7. Illegal AI Applications and Scams
The campaign is hunting down:
- “Shell” AI websites that are fronts for illegal services
- AI fortune-telling (which falls under illegal divination services)
- “One-click undressing” deepfake tools
- Other illicit AI-powered services
What This Means for the AI Ecosystem
This isn’t just regulatory theater.
The Cyberspace Administration of China (Zhongyang Wangxinban 中央网信办) is putting real pressure on:
- AI companies – Must conduct immediate self-inspections and fix compliance gaps
- Content platforms – Need better governance systems to catch AI-generated violations
- MCN institutions – Multi-Channel Network content creators face scrutiny too
- Local regulators – Must actively enforce the campaign
Companies that don’t comply face penalties ranging from account suspension to platform bans.
The Bottom Line
China is serious about making sure AI works for citizens, not against them.
The “Clear and Bright” campaign represents a comprehensive approach to AI governance—policing both the technical layer (how models are built) and the content layer (what they produce).
For founders and companies building AI products in China, the message is clear: compliance isn’t optional, and the government is watching how you build and deploy AI applications.
References
- Cyberspace Administration of China Deploys “Clear and Bright: Rectification of AI Application Chaos” Special Action – Xinhua News Agency (Xinhua She 新华社)
- Official Website – Cyberspace Administration of China (Zhongyang Wangxinban 中央网信办)
- Interim Measures for the Management of Generative Artificial Intelligence Services – State Council of the People’s Republic of China
