Core Viewpoint - The rise of AI technology has led to an increase in fraudulent refund claims in the e-commerce sector, with some consumers exploiting the "refund without return" policy to gain products without payment [1][2][3]. Group 1: E-commerce Refund Mechanism - The "refund without return" policy was initially designed to protect consumers in specific scenarios, but it has been misused by some buyers, leading to significant losses for merchants [2][3]. - Major e-commerce platforms have recently adjusted their "refund without return" policies, allowing merchants to handle refund requests autonomously [2][5]. - A report indicated that 50.36% of complaints from merchants on e-commerce platforms were related to "refund without return" issues, highlighting the prevalence of this problem [2]. Group 2: AI Technology and Fraud - Some consumers are using AI tools to create fake images of products to claim refunds, which has resulted in losses of 5% to 8% of revenue for affected merchants [1][2]. - Experts suggest that the misuse of AI for fraudulent activities could hinder public acceptance of new technologies and disrupt market rules [3][5]. - Recommendations include implementing AI image recognition technology and a tiered evidence submission system for refund claims to mitigate fraud [3][5]. Group 3: Legal Implications - The use of AI-generated fake content for refund claims can lead to legal consequences, including potential fraud charges if the amount involved is significant [4][5]. - The Civil Code allows merchants to demand returns or compensation for breaches of the "refund without return" agreement [4]. - New regulations regarding the identification of AI-generated content are set to take effect in September 2025, aiming to curb misuse [4][5]. Group 4: Recommendations for Improvement - A multi-faceted approach involving rule enhancement, technological countermeasures, and legal deterrents is necessary to address the issues surrounding "refund without return" fraud [5]. - E-commerce platforms are urged to establish a rapid response mechanism for AI fraud cases and to collaborate on data sharing to combat fraudulent activities effectively [5].

Core Viewpoint - The article discusses the increasing prevalence of misinformation generated by AI, highlighting the challenges posed by AI hallucinations and the ease of feeding false information into AI systems [3][10][21]. Group 1: AI Misinformation - AI hallucination issues lead to the generation of fabricated facts that cater to user preferences, which can be exploited to create bizarre rumors [3][10]. - Recent examples of widely circulated AI-generated rumors include absurd claims about officials and illegal activities, indicating a trend towards sensationalism over truth [5][6][7][8]. Group 2: Impact of Social Media - The combination of AI's inherent hallucination problems and the rapid dissemination of information through social media creates a concerning information environment [13][14]. - The article suggests that the current state of information is deteriorating, likening it to a "cesspool" [15]. Group 3: Recommendations for Improvement - AI companies need to enhance their technology to address hallucination issues, as some foreign models exhibit less severe problems [17]. - Regulatory bodies should improve their efforts to combat the spread of false information, although the balance between regulation and innovation remains delicate [18]. - Individuals are encouraged to be cautious with real-time information while relying on established knowledge sources [20].