近期，部分电商买家利用AI生成商品破损、瑕疵图片，低成本申请仅退款甚至批量牟利，导致中小商家陷入高成本维权困境 1。湖南衡山县人民法院审结一起相关案件，一名男子利用AI伪造榴莲等高价水果腐烂、发霉图片申请仅退款，恶意退款100余单，货值1.6万余元，因诈骗罪获刑 1。
北京桦天律师事务所律师王佳琳指出，图片上传平台后往往会被压缩，原始信息可能丢失，商家申诉时常面对程序化客服和机械审核，缺少有效的人工复核通道 1。北京师范大学法学院教授吴沈括建议平台建立分层审核机制，对正常、小额售后可由系统初审，对高频退款、新注册账号或大额订单应转入人工复核，以维护电商市场信任根基 1。
A growing number of e-commerce buyers are exploiting artificial intelligence to generate fake images of damaged or flawed products, allowing them to secure low-cost refunds or even profit in batches, thereby plunging small and medium-sized merchants into a high-cost rights protection dilemma 1. Highlighting this issue, the Hengshan County People's Court in Hunan Province recently concluded a fraud case in which a man used AI to forge pictures of rotten and moldy high-value fruits, such as durians, to maliciously apply for refund-only orders 1. The perpetrator fraudulently processed more than 100 orders with a total value exceeding 16,000 yuan and was ultimately sentenced for the crime of fraud 1.
To address these vulnerabilities, Wu Shenkuo, a professor at the Law School of Beijing Normal University, suggested that platforms establish a tiered review mechanism, where normal and small-amount after-sales requests can be initially reviewed by automated systems, while high-frequency refunds, newly registered accounts, or large orders should be transferred to manual review 1. Additionally, Wang Jialin, a lawyer at Beijing Huatian Law Firm, pointed out that images uploaded to platforms are often compressed, which may lead to the loss of original information 1. She noted that merchants appealing such disputes frequently face programmed customer service and mechanical reviews, leaving them without effective channels for manual verification 1.
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