最脏的一幕，出现了！

Core Viewpoint - The article discusses the rise of AI-generated fake images used for fraudulent refund claims in the e-commerce sector, highlighting the negative impact on trust and the operational challenges faced by merchants [4][5][24]. Group 1: AI Fraud in E-commerce - E-commerce businesses are facing a surge in fraudulent refund requests, where individuals use AI-generated images to falsely claim product defects [6][21]. - Merchants report that these fake images are often obvious, with some even containing AI watermarks, yet they still lead to successful refund claims [7][11]. - The food sector is particularly vulnerable, with AI-generated images making it difficult to discern real product quality issues [13][14]. Group 2: Impact on Merchants - The "only refund" policy, initially designed to simplify returns, has become a burden for merchants as they now have to scrutinize refund requests more closely [21][22]. - Merchants are increasingly forced to raise prices to offset losses from fraudulent refunds, which ultimately affects consumers [27][29]. - Small businesses, especially those in lower-tier cities, are significantly impacted by these fraudulent activities, threatening their daily operations and livelihoods [28][30]. Group 3: Legal and Platform Responses - The government has begun implementing measures to combat AI misuse, including regulations against the malicious use of AI-generated content [33][34]. - E-commerce platforms are enhancing their verification systems to protect merchants' rights and prevent fraudulent activities [34]. - The article emphasizes the need for a collective effort from legal frameworks, platforms, and a culture of integrity to restore trust in the e-commerce ecosystem [32][34]. Group 4: Trust and Ethical Considerations - The article argues that the misuse of AI for fraud represents a significant breach of trust, which is essential for the functioning of e-commerce [39][42]. - It calls for a return to basic ethical principles in transactions, emphasizing honesty and transparency between buyers and sellers [43][44].