What is China’s New AI Regulation, and How Does It Address Generative AI Risks?

China’s regulatory framework for generative artificial intelligence represents one of the world’s first comprehensive, state-led efforts to govern the rapid deployment of AI technologies. Spearheaded by the Cyberspace Administration of China (CAC) alongside six other central government ministries, these measures establish strict guidelines for companies developing and deploying AI models. The regulations were designed to address growing global concerns surrounding disinformation, the proliferation of deepfakes, and the ethical implications of machine-generated content.

Formally titled the Interim Measures for the Management of Generative Artificial Intelligence Services, the rules were jointly issued on July 10, 2023, and took effect on August 15, 2023. By enforcing a structured legal framework, the regulations aim to balance technological advancement with societal stability. Providers of generative AI services are held legally responsible for the outputs of their models, ensuring that AI tools are not misused to generate false information, violate intellectual property rights, or compromise individual privacy.

Core Objectives of the Regulation

The regulatory framework is built upon several foundational goals designed to ensure the safe and ethical use of artificial intelligence within the public sphere:

• Content Alignment: AI outputs must adhere to core societal values and avoid generating content that incites subversion, discrimination, violence, or disrupts economic and social order.
• Intellectual Property Protection: Developers must respect intellectual property rights during the training phase, ensuring that models do not unlawfully scrape or utilize copyrighted materials to build their datasets.
• Data Privacy: AI providers must protect the personal information of users, explicitly prohibiting the illegal collection, retention, or sharing of user input data.
• Transparency: Service providers are required to be transparent about the capabilities and limitations of their AI models, preventing users from over-relying on potentially inaccurate machine-generated data.

Addressing Generative AI Risks

To enforce these objectives and mitigate the specific risks associated with generative AI, the regulations mandate several strict operational protocols:

• Mandatory Watermarking and Labeling: To combat the threat of deepfakes and synthetic media, the regulations require all AI-generated content — whether text, image, audio, or video — to be clearly labeled or watermarked. This ensures the public can distinguish between human-created and machine-generated media. Labeling requirements have continued to evolve, with updated rules effective September 1, 2025 further defining how visible and hidden labels must be applied.
• Security Assessments and Algorithm Registration: Before a generative AI service can be made available to the public, it must undergo a security assessment. Developers must also register their algorithms and large language models with the CAC. As of December 2025, 748 generative AI services had completed the filing process at the national level.
• Real-Name Verification: AI service providers must require users to register with their real identities. This creates a chain of accountability, deterring individuals from using generative tools for malicious purposes such as fraud, identity theft, or coordinated disinformation campaigns.
• Rapid Takedown Protocols: If an AI model generates illegal or harmful content, the provider must immediately halt the generation of that content, refine the algorithm to prevent future occurrences, and report the incident to the relevant authorities.

Global Context and Impact

The implementation of these regulations occurs alongside a broader international push for AI governance. As deepfakes and synthetic media become increasingly sophisticated and difficult to detect, governments worldwide are grappling with the urgent need for ethical controls. China’s proactive approach provides a distinct regulatory model centered on state oversight, mandatory algorithm registration, and strict provider liability. This framework serves as a significant reference point in the ongoing global discourse on how best to regulate the frontier of artificial intelligence.

Summary

China’s AI regulations establish a rigorous compliance environment for generative AI developers and service providers. By mandating content labeling, algorithm registration and security assessments, real-name verification, and strict data governance, the framework directly addresses the critical risks of disinformation, deepfakes, and unethical AI use. This regulatory approach highlights a growing global consensus that advanced AI technologies require robust, enforceable oversight to ensure they are deployed safely and responsibly.