When AI-generated "fake grandson" videos make countless elderly people cry, and when young people use AI counter-matrimony videos to outwit their elders, this era full of magical realism has finally seen a strong regulatory crackdown. On September 1st, the "Artificial Intelligence Generated Synthetic Content Identification Measures" came into effect, officially launching a nationwide campaign on identifying the authenticity of AI content.
The core requirement of this new regulation is extremely clear: all AI-generated content, whether text, images, audio, or video, must be clearly labeled. This is not a suggestion, but a mandatory requirement. From DeepSeek, Tencent to ByteDance, major domestic AI model manufacturers have actively responded, beginning to fully implement this "labeling" action.
The technical requirements of the new regulation are extremely strict. AI content generation platforms need to embed an invisible identifier when generating content, which is like implanting an unforgeable "ID card" in each AI work. More importantly, when users post content, platforms are strictly prohibited from deleting or concealing these AI identifiers. This means that any attempt to pass off AI content as genuine will be exposed.
This policy's introduction is not accidental, but a direct response to real needs. The dual nature of AI technology is showing completely different impacts across all age groups. For the elderly, AI-generated "obedient grandson" videos can easily break through their psychological defenses. These lifelike fake videos make the elderly believe they are real, even starting to form genuine emotional connections with virtual characters, leaving family members both heartbroken and helpless.
The younger generation faces another kind of trouble. Faced with various AI-generated marriage pressure videos sent by their elders, they have to use creativity to "fight back" with the same AI technology, forming a strange intergenerational AI battle. Although this kind of intellectual duel has a certain entertainment value, it also reveals the social issues caused by the proliferation of AI content.
The implementation of the new regulations will provide effective solutions to these problems. When every AI-generated content is labeled with "This content contains AI-generated material," users will gain an important judgment tool. This label is like the "nutritional information" of the content world, allowing people to make more rational judgments when consuming information.
For AI content creators and platform operators, this new regulation is both a challenge and an opportunity. Although the labeling requirements increase technical costs and compliance pressure, they also lay the foundation for the healthy development of the industry. Increased transparency will help build user trust and promote the reasonable application of AI technology in a broader range of scenarios.
From a technical implementation perspective, AI content labeling involves complex digital watermarking technology, content traceability mechanisms, and platform regulatory systems. Major manufacturers need to establish a complete labeling management system while ensuring user experience. This not only tests technical strength, but also examines the sense of social responsibility of companies.
The significance of this AI content labeling revolution goes far beyond that. It marks an important step forward for China in global AI governance, providing a reference model for other countries. In the context of rapid AI technological development, how to find a balance between promoting innovation and ensuring safety, China's practice is undoubtedly of significant demonstration value.
