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AI正在批量制造含冤的店小二
虎嗅APP· 2025-11-01 02:47
Core Viewpoint - The article discusses the challenges faced by customer service representatives in the e-commerce industry due to the misuse of AI-generated images, which are being used to fraudulently claim refunds without returning products [4][5][13]. Group 1: AI Misuse in E-commerce - AI image editing technology has led to fraudulent activities where buyers create fake damage images to claim refunds [4][12]. - The prevalence of AI-generated images has made it difficult for customer service to contest fraudulent claims, as the system often favors the buyer [10][13]. - A report indicates that the user base for generative AI products in China has reached 515 million, with 33% using it for image and video generation [12]. Group 2: Customer Service Challenges - Customer service representatives are often unable to effectively dispute fraudulent claims due to the automated systems prioritizing image evidence over verbal explanations [10][18]. - The article highlights specific cases where customer service representatives recognized AI-generated images but were still forced to issue refunds due to system biases [14][16][30]. - The emotional toll on customer service staff is significant, as they feel powerless against algorithmic decisions that undermine their expertise [18][41]. Group 3: Systemic Issues - The current refund mechanisms on e-commerce platforms are designed to protect consumers but are being exploited due to the lack of robust verification processes for images [13][32]. - There is a growing community among sellers who share experiences and strategies to combat AI-generated fraud, indicating a systemic issue within the industry [20][35]. - The reliance on image recognition technology has created a gap where algorithms are seen as the ultimate authority, often leading to unjust outcomes for sellers [32][34].
外卖平台频现AI假图,小作坊用虚假排队图骗你下单?
Nan Fang Du Shi Bao· 2025-08-07 06:42
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].