The new EU AI law is officially implemented: chatbots and deep fake content must be clearly labeled

The new regulations of the European Union AI Act (EU AI Act) will be officially implemented today, and the first batch of implemented obligations are directed to "transparency." There are two core requirements: when users interact with an AI chatbot, they must be clearly informed that the other person is an AI and must not pretend to be a real person; deepfake content (synthetic images, audio, video, etc.) generated or manipulated by AI must be clearly identified. Companies that violate the regulations will face severe penalties, with fines graded according to the severity of the violation.

Why "Transparency" was implemented first

The EU AI law adopts a "risk-based" hierarchical regulatory framework, and the transparency clause is one of the first core obligations to be implemented. The regulatory logic is straightforward: first use identification to establish trust, and then gradually promote hierarchical constraints on high-risk AI. This path of "transparency in exchange for trust" is essentially paving the way for more stringent general model obligations in the future.

The Brussels effect affects developers around the world

The EU market is huge, and any product aimed at European users must adapt to the labeling requirements - whether it comes from the United States or China, whether it is AI chat assistant, AIGC or video generation tool. This means that the compliance costs and design of AI products (such as generating content watermarks and AI identity claims) must be planned in advance, and regulatory standards are actually forming a "Brussels effect." For domestic AI products exported to Europe, chat assistants, AIGC and video generation tools all need to simultaneously implement AI identification and deepfake marking capabilities, and compliance adaptation is no longer optional.

For the market, this is a real compliance stress test: the demand for supporting technologies such as watermarking, content traceability, and deep forgery detection will increase accordingly, and a number of "compliance infrastructure" suppliers will also be spawned. It can be expected that once the regulatory benchmark for AI transparency is established, it is only a matter of time before policies in major markets such as the United States and China follow suit.

Several directions worth tracking in the future:

1. The implementation rhythm of high-risk clauses: when and how subsequent clauses such as general AI model obligations will be implemented.
2. Differences and convergence of regulations in various countries: The degree of convergence of AI labeling requirements on a global scale.
3. Compliance costs of China’s overseas products: The actual impact of watermarks and content traceability capabilities on product iteration.