The GenAI Measures require service providers to employ effective measures to increase the transparency in generative AI services and to improve the accuracy and reliability of generated content, based on the types and characteristics of the services.

The Deep Synthesis Provisions require deep synthesis services providers to develop and disclose their management rules and platform conventions.

The Recommendation Algorithms Provisions specify that to comply businesses must formulate and disclose the relevant principles, purposes and key operation mechanisms for recommendation algorithm-based services. Users have the right to opt out of the algorithm recommendation services or request the service provider to provide services not targeting their personal characteristics. Service providers must provide users with a convenient option to switch off the algorithmic recommendation services. If users choose to switch off algorithmic recommendation services, the algorithmic recommendation service provider must immediately cease providing the services.

Under the AIGC Labelling Measures, AI-generated content shall be marked with explicit labels and/or implicit labels, depending on the functionality of the underlying AI services and how the AI-generated content can be used:

• "Explicit labels" refer to"visible indicators—such as text, audio, or graphics—added to the AI-generated content or interactive interface, which can be clearly perceived by users."
• "Implicit labels" refer to "technical markers embedded in the data of AI-generated content files, which are not easily perceived by users."

Implicit labels should be embedded in the metadata of generated content files. Explicit labels should be added to AI-generated dialogue simulating natural human interaction, synthetic voices significantly altering personal characteristics, human face images generated or altered by AI, and immersive scenes, as well as other high-risk use cases.