瞭望 | AI广告植入边界如何确定

Group 1 - The core viewpoint is that AI is becoming a new battleground for brand marketing, where businesses are influencing AI algorithms to prioritize specific brands in responses, blurring the line between knowledge and marketing [1] - The practice of "reverse training" by businesses to feed large amounts of product information into AI models can distort consumer rights and erode trust in AI technology [1] - When AI responses are influenced by commercial interests rather than pure facts and data, it shifts from being a tool that empowers individuals to a channel that manipulates perceptions, potentially darkening the industry's future [1] Group 2 - To regulate "invisible advertising" in AI, a collaborative effort is needed among platforms, regulators, and users [2] - Platform providers must utilize technical means to identify and limit businesses' reverse training, and they should clearly label any content that may contain advertisements [2] - Regulatory bodies should proactively develop policies and standards to include advertising behavior in AI-generated content within the existing advertising law framework, establishing clear boundaries and penalties [2] - Users need to enhance their digital literacy and maintain a cautious approach to AI outputs, understanding the underlying logic to avoid blind trust [2] Group 3 - Clarifying the boundary between information services and commercial promotion is essential to safeguard the credibility of AI and better protect the digital future [3]