Core Viewpoint - The article discusses the increasing issue of fraudulent refund claims in e-commerce due to the misuse of AI technology, highlighting a case where a customer used AI-generated content to deceive a seller into issuing a refund. This situation reflects a broader trend where both consumers and sellers are caught in a cycle of deception facilitated by AI tools. Group 1: Fraudulent Activities - A case in Jiangsu involved a seller who faced a refund request for "6 dead crabs," which was later revealed to be a scam using AI-generated videos [6][10] - The rise of AI image editing has made it easier for consumers to create convincing fake evidence to support refund claims, leading to significant challenges for sellers [7][12] - The cost of creating fake images has become nearly zero, allowing consumers to exploit refund policies with minimal effort [12][14] Group 2: Seller Challenges - Many sellers report that even obvious fake images are often accepted by e-commerce platforms, leading to financial losses [8][16] - The rapid approval of refund requests, sometimes within minutes, has left sellers vulnerable to fraudulent claims [10][16] - Sellers are forming mutual aid groups to share experiences and strategies for identifying fake claims and protecting their businesses [25][26] Group 3: Consumer Experience - Consumers are also facing challenges as AI-generated images can misrepresent products, leading to dissatisfaction upon receiving items that do not match their expectations [18][20] - The use of AI digital models in marketing has created confusion among consumers regarding the actual quality of products [18][23] Group 4: Regulatory Response - A commitment has been made by major e-commerce platforms to establish guidelines for the ethical use of AI technology, aiming to address the issues of fraud and misrepresentation [24][26] - Despite existing regulations, enforcement remains a challenge, and sellers often find themselves needing to fight for their rights [25][26] - E-commerce platforms are beginning to develop AI detection capabilities to combat fraudulent activities, but these measures are still in the early stages [26]