单纯美化商品图可能还说得过去，毕竟那些素材就相当于广告，这种做法未必合规，但很多消费者会有 相应的心理预期，所以通常不会产生太大的纠纷。更让人吃惊的是，报道还提到，有的商家明明是无堂 食门店，但却用AI生成图伪装成有堂食的餐厅。对于这样的做法，不少消费者可能会心生反感，这种 心理不难理解，商家有堂食门店，意味着就餐环境、卫生条件都有一定的保障，毕竟线下消费的时候大 家会在意这些条件，不过关的商家就没有吸引力。有堂食门店的商家，似乎在告诉消费者自己的线下生 意也不错，虽然这种状况未必就是事实，但确实会产生积极的消费心理，线上的消费者下单的意愿因此 也更强烈。 如今问题被曝光，的确给平台提了个醒。在AI技术渗透到各个行业的今天，虚假宣传也获得新的技术 支持，对此平台必须重视。 事实上，外卖商家的合规问题一直存在，有的可能已经非常严重。近日，广州市南沙区市场监管局在日 常监督检查中就发现，某外卖平台入驻商家公示的"食品经营许可证"存在多处疑点：经营地址、签发人 等与实际不符，经营项目不符合发证惯例，公章的颜色和位置错误。执法人员调查后发现，涉事商家通 过非法渠道找到所谓的"代办人员"，花钱伪造了食品经营许可证。经进 ...

Group 1 - The article emphasizes the potential of the AI identification system in addressing the challenges of misinformation, highlighting its role as a crucial front-end support in content governance [1][4] - It points out that over 20% of the 50 high-risk AI-related public opinion cases in 2024 were related to AI-generated rumors, indicating a significant issue in the current content landscape [1][3] - The article discusses the three main challenges posed by AI-generated harmful content: lower barriers to entry, the ability for mass production of false information, and the increased realism of such content [3][4] Group 2 - The introduction of a dual identification mechanism, consisting of explicit and implicit identifiers, aims to enhance the governance of AI-generated content by covering all stakeholders in the content creation and dissemination chain [5][6] - The article notes that explicit identifiers can reduce the credibility of AI-generated content, as studies show that labeled content is perceived as less accurate by audiences [6][8] - It highlights the limitations of the AI identification system, including the ease of evasion, forgery, and misjudgment, which can undermine its effectiveness [8][9] Group 3 - The article suggests that the AI identification system should be integrated into the existing content governance framework to maximize its effectiveness, focusing on preventing confusion and misinformation [11][12] - It emphasizes the need to target high-risk areas, such as rumors and false advertising, rather than attempting to cover all AI-generated content indiscriminately [13][14] - The responsibilities of content generation and dissemination platforms should be clearly defined, considering the challenges they face in accurately identifying AI-generated content [14]