Core Viewpoint - The rise of AI-generated images has led to a new form of fraud in e-commerce, where consumers use these images to falsely claim refunds, creating significant challenges for sellers and platforms [2][5][15]. Group 1: Consumer Fraud - Consumers are using AI tools to create fake images of products, such as spoiled goods, to request refunds without returning items [2][5]. - Instances of consumers sending AI-generated images of damaged products have been reported, leading to confusion and disputes with sellers [3][6]. - Some consumers have even manipulated videos to support their refund claims, further complicating the verification process for sellers [6][15]. Group 2: Seller Challenges - Many sellers are facing difficulties as they receive AI-generated images that appear convincing, leading to unwarranted refunds or compensation [5][6]. - Sellers have reported that even when they request video verification, consumers can still provide AI-generated content, making it hard to distinguish between genuine claims and fraudulent ones [5][6]. - The issue has escalated to the point where sellers are now required to ask consumers to destroy products and provide proof, which has become another avenue for fraud [6][15]. Group 3: AI Usage by Sellers - Some sellers are also using AI-generated images for product listings, leading to discrepancies between advertised and actual products, which frustrates consumers [7][11]. - Notable brands have faced backlash for using AI-generated images that misrepresent their products, leading to consumer distrust [11][14]. - The prevalence of AI-generated images in product listings has raised concerns about the authenticity of online shopping experiences [11][15]. Group 4: Regulatory Response - Regulatory bodies have begun to address the issue, with guidelines requiring clear identification of AI-generated content to protect consumers and uphold seller integrity [14][15]. - E-commerce platforms are being urged to implement stricter measures to combat the misuse of AI-generated images and ensure accurate product representation [15].