调查|当AI学会造假:实测一张“魔改图”,如何打败商家
Bei Ke Cai Jing·2025-12-03 01:46

Core Viewpoint - The misuse of AI technology for generating fake damage images has emerged as a significant issue in e-commerce, leading to fraudulent refund requests and undermining trust in online transactions [1][11][20]. Group 1: Incidents of Fraud - A seller encountered a refund request accompanied by an AI-generated image of a damaged plush toy, which the buyer claimed was defective [2][4]. - The seller initially suspected misuse but later confirmed the image was AI-generated after using detection tools [4][10]. - Other sellers reported similar experiences, recognizing AI-generated images as fraudulent evidence for refund claims [7][9]. Group 2: Seller Responses and Strategies - Sellers have begun developing "anti-fraud" guidelines to identify AI-generated images, focusing on inconsistencies in damage representation and requesting multiple angles or videos as proof [10][18]. - Many sellers reported being able to visually identify AI-generated images due to their unrealistic characteristics [9][10]. Group 3: E-commerce Platform Reactions - Major e-commerce platforms like JD.com, Pinduoduo, and Taobao are aware of the issue and are implementing measures to combat fraudulent refund requests [20][21]. - JD.com is developing AI capabilities to identify fake images and plans to launch these features by the end of the year [20]. - Platforms are tightening refund policies and enhancing verification processes to protect sellers from fraudulent claims [21][22]. Group 4: Legal and Regulatory Context - The use of AI to create fake evidence for refunds is considered a form of fraud, potentially violating civil and criminal laws [19][23]. - New regulations are being introduced to address the misuse of AI-generated content, emphasizing the need for clear identification and penalties for fraudulent activities [19][23]. Group 5: Broader Implications for the Industry - The rise of AI-generated fraud is disrupting the balance of rights between consumers and sellers, leading to increased costs for businesses and potential price hikes for consumers [22][23]. - The ongoing challenge of distinguishing between real and AI-generated images may erode consumer trust in e-commerce platforms [18][23].