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China's AI filings approach 1,200 as governance splits into two tracks

The Cyberspace Administration of China reports 1,112 generative AI services have completed filing as of August 31, 2026. Meanwhile, the AI Safety Governance Framework 3.0 was released during National Cybersecurity Awareness Week.

AI & modelsAnalysisRachel NwosuPublished: 25 September 20266 min readSources 3
China's AI filings approach 1,200 as governance splits into two tracks

China is advancing generative AI governance along two lines. The first is the implementation of filings and registrations. The second is the iteration of the safety governance framework. One is hard, the other soft; together they outline the rules for the sector.

Start with filings. In a notice published on September 14, the Cyberspace Administration of China stated that 124 new generative AI services completed filing between July and August 2026 under the Interim Measures for the Administration of Generative AI Services. Seven of these provide on-device generative AI services for mobile phones. Applications or features that directly invoke already filed model capabilities via API or other methods are registered by local cyberspace authorities. Another 133 completed this registration.

The cumulative numbers show the scale. As of August 31, 1,112 generative AI services had completed filing, and 731 generative AI applications or features had completed registration. The notice also requires that live applications or features display the status of the filed or registered generative AI services they use in a prominent location or on the product details page, specifying the model name and filing number or launch number.

On-device models are a new growth area. On September 23, cyberspace authorities issued a separate notice announcing filing information for three newly added on-device generative AI services for mobile phones, including YOYO Claw. These models feature local inference and keep data on the device, extending filing coverage from the cloud to the terminal.

The framework side is evolving too. On September 14, at the opening ceremony of the 2026 National Cybersecurity Awareness Week, the National Technical Committee for Cybersecurity Standardization released the AI Safety Governance Framework 3.0. It maintains the core logic of risk classification, technical response, and comprehensive governance. The update revises the risk classification and optimizes technical response and governance measures. Versions 1.0 and 2.0 were released in 2024 and 2025, respectively.

International discussions are heating up as well. Reuters reported that Chinese AI firms, including DeepSeek and Moonshot AI, were invited to address the UN Security Council on AI and international security. On September 25, Microsoft co-founder Bill Gates publicly urged the US Congress to legislate on AI development, stating that no one believes industry self-regulation is sufficient. Tightening regulation and dense filing activity are becoming a common backdrop for the global AI industry.

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Sources

3
  1. 01关于发布生成式人工智能服务已备案信息的公告(2026 年 7 月至 8 月)ZH
  2. 02《人工智能安全治理框架 3.0》发布ZH
  3. 03消息称 DeepSeek 本周参加联合国安理会,讲解 AI 安全风险ZH

All figures and quotations in this text come from the sources listed below.

Content prepared by the editorial team with AI assistance.

Rachel Nwosu

Rachel Nwosu

AI, models and technology

Rachel Nwosu covers AI, models and technology for FLASH24, working from public model documentation, benchmark releases and repository histories rather than press summaries, and she skips announcements that arrive without reproducible numbers. She checks training-data claims against dataset cards and reruns reported metrics where code is available. She spends much of her week interviewing researchers and engineers, tracking model launch calendars, and comparing vendor benchmarks with independent evaluations. Outside the desk she runs 3D printers, restores old computers, and tests how models learn from internet junk. She does not publish benchmark figures she cannot trace to a source.

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