外卖平台频现AI假图，小作坊用虚假排队图骗你下单？

Core Viewpoint - The rise of AI-generated images in food delivery platforms has led to significant consumer dissatisfaction, as many restaurants use these images to misrepresent their actual offerings, creating a deceptive experience for customers [2][9][12]. Group 1: AI Image Usage in Food Delivery - Numerous food delivery platforms have been found to host restaurants that utilize AI-generated images for storefronts and menu items, leading to a stark contrast between the advertised and actual dining experience [7][9]. - Consumers have reported that many of these AI-generated images depict vibrant and bustling dining environments, while the reality is often a starkly different, less appealing setup [9][12]. Group 2: Consumer Reactions and Complaints - Many consumers have taken to social media to express their frustration over the discrepancies between AI-generated images and the actual food received, with some labeling these establishments as "takeout workshops" lacking proper dining facilities [2][9]. - Specific complaints include instances of receiving poorly prepared food that does not match the quality suggested by the AI images, leading to negative reviews and calls for better transparency [12][13]. Group 3: Emergence of an AI Image Industry - A burgeoning industry has emerged around the creation of AI-generated images for food delivery businesses, with services offering complete packages for restaurant branding, including storefront and menu images [13][15]. - Some platforms are providing tools for restaurant owners to generate these images, often requiring payment for each image created, which further incentivizes the use of misleading visuals [15][17]. Group 4: Regulatory and Legal Implications - Legal experts have indicated that restaurants using AI-generated images may be violating consumer rights, as these practices can mislead customers and infringe upon their right to accurate information [17][18]. - There are calls for food delivery platforms to enhance their image verification processes to prevent the proliferation of misleading AI-generated content, with potential legal repercussions for failing to do so [18][19].