在本页4 分钟阅读
概述
The Deep Synthesis Provisions took effect in January 2023. The Measures for Labeling AI-Generated Synthetic Content, in force since September 1, 2025, require both visible labels and hidden metadata labels on AI-generated text, images, audio, video and virtual scenes. Together they make China one of the first jurisdictions to require AI content labeling across the whole distribution chain, from the tools that generate content to the platforms that spread it.
深入探讨
The Provisions on the Administration of Deep Synthesis Internet Information Services were issued in late 2022 by the Cyberspace Administration of China (CAC), the Ministry of Industry and Information Technology and the Ministry of Public Security, and took effect on January 10, 2023. They define deep synthesis broadly as technology that uses deep learning or virtual reality to generate or edit text, images, audio, video or virtual scenes. Providers must verify users' real identities, set management rules, review content, and keep mechanisms for dispelling rumors. When they offer tools for editing biometric information such as a face or voice, they must prompt users to obtain the separate consent of the person being edited. They must also file their algorithms with the CAC. Content that could confuse or mislead the public, such as synthetic faces, cloned voices or realistic scenes, must carry a conspicuous label, and no one may remove or conceal these labels. The 2025 Labeling Measures, issued by the CAC with three other agencies and accompanied by a mandatory national standard, GB 45438-2025, make labeling more specific. Explicit labels are visible or audible cues such as text notices, audio prompts or graphic marks. Implicit labels are embedded in file metadata and include information such as the provider's name and a content ID. Distribution platforms must check uploads for metadata. They display a notice when AI generation is confirmed, and they apply possible or suspected labels when the user declares it or detection suggests it. App stores must check that apps comply. Western approaches are narrower or newer. The EU AI Act's Article 50 imposes transparency and marking duties on AI-generated content and deepfakes, but they apply later than China's. In the United States, deepfake rules are mostly state laws on election ads and intimate imagery, while standards such as C2PA content credentials are voluntary. Labels do not solve detection: metadata can be stripped by screenshots or re-encoding, which is why China layers platform detection and user declarations on top.
战略影响
风险与安全
灾难性和日常的人工智能危害都取决于谁了解风险以及谁能够采取行动。
更清晰的判决
公众和专业素养决定强有力的安全政策在政治上是否可行。
打破炒作
清晰的解释可以减少炒作、实验室公关和模糊道德剧场的影响。
The Future of China's Deep Synthesis Rules and AI Content Labeling
Enforcement of the 2025 Labeling Measures is still new, and it is not yet clear how consistently platforms will detect unlabeled content or how regulators will treat false positives. Watermarking technology keeps improving, but no method yet survives every edit, so labeling will probably continue to rely on several signals together. As the EU's transparency obligations take effect and more countries consider labeling rules, technical interoperability between China's metadata standard and schemes like C2PA may become a practical question for global platforms.
现实世界的实施
A face-swap app must add a conspicuous label to its output videos and require users to obtain consent from the person whose face is being edited. It must also verify its users' real identities.
An AI image generator must embed hidden metadata in each file, such as the provider's name and a content identifier. Text generation tools must show visible cues, such as notices at the start or end of generated text or in the interface.
A short-video platform that detects AI-generation metadata in an upload must show a label telling viewers the content is AI-generated. If there is no metadata but its systems detect signs of synthesis, it adds a suspected label.
A creator uploading an AI-made voiceover to a Chinese platform is expected to declare it as AI-generated using the platform's labeling tool, and must not strip existing labels.
风险与防护栏
将存在风险视为科幻小说，同时能力复合。
混淆了表面产品安全与高度自治下的对准。
只给非英语和非专业观众留下低质量的资源。
实施路线图
单独的产品危害、误用和失控/失调风险。
询问哪些证据会改变您对时间表和严重性的看法。
比起营销主张，更喜欢主要来源和具体评估。
确定一条行动路径：职业、政策、资金或技能——而不仅仅是意识。
不断探索
Free newsletter
Get the daily AI briefing
Three verified AI stories every weekday morning, written in plain English. Free forever, no ads.
One email each weekday. Unsubscribe in one click. We never sell or share your address.
Test yourself
Take the China's Deep Synthesis Rules and AI Content Labeling quiz
Instant feedback on every answer, and a shareable certificate with a verifiable ID once you pass a course.
Support free AI education. AI Understanding is a 501(c)(3) nonprofit — no ads, no paywall, ever. Make a donation
常见问题
What is China's Deep Synthesis Rules and AI Content Labeling?
China regulates deepfakes and other synthetic media through two layers of rules. The Deep Synthesis Provisions took effect in January 2023. The Measures for Labeling AI-Generated Synthetic Content, in force since September 1, 2025, require both visible labels and hidden metadata labels on AI-generated text, images, audio, video and virtual scenes. Together they make China one of the first jurisdictions to require AI content labeling across the whole distribution chain, from the tools that generate content to the platforms that spread it.
When did China's Deep Synthesis Provisions take effect?
The Deep Synthesis Provisions were issued in late 2022 and took effect on January 10, 2023, before the generative AI Interim Measures.
When did the Measures for Labeling AI-Generated Synthetic Content take effect?
The Labeling Measures, together with the mandatory national standard GB 45438-2025, took effect on September 1, 2025.
What is an implicit label under China's labeling rules?
Implicit labels are embedded in metadata and are not directly visible. Explicit labels are the visible or audible cues shown to users.
What should a platform do when an upload has no AI metadata but its detection suggests synthesis?
Platforms use tiers. Confirmed content with metadata gets a clear AI-generated notice, and content flagged by detection gets a possible or suspected label.
Under the Deep Synthesis Provisions, what must be obtained before a user edits another person's face or voice?
Providers offering biometric editing tools must prompt users to obtain the separate consent of the person whose face or voice is being edited.
继续学习
相关指南
为此主题精选的更多指南