Group 1 - The rise of AI-generated images has led to increased instances of fraud in e-commerce, where customers use AI to create fake evidence of product defects for refunds [1][2][6] - A notable case involved a customer using a video to request a refund for a product, which displayed clear signs of manipulation, such as the presence of two right hands [2][5] - The ease of creating convincing fake images with AI tools has lowered the barrier for fraudulent activities, making it easier for individuals to exploit refund policies [8][13] Group 2 - The introduction of AI-generated content (AIGC) has sparked discussions about the blurred lines in refund policies and the need for balance between technology and regulations [2][14] - Previous methods of fraud required significant skill in image editing software, but AI has simplified the process to a few easy steps, increasing the scale of potential fraud [11][12][13] - The legal implications surrounding AIGC, particularly regarding copyright and the definition of original works, remain contentious and unresolved [14][19] Group 3 - E-commerce platforms are facing challenges as some consumers exploit the "no reason for return" policy using AI-generated images, leading to a rise in fraudulent refund requests [8][12] - The ability to generate realistic images with AI has made it difficult for both consumers and businesses to discern authenticity, raising concerns about the integrity of online transactions [20][27] - Industry professionals are calling for comprehensive standards and regulations to manage the use of AI in e-commerce and prevent fraudulent activities [31]

Group 1 - The core issue highlighted is the prevalence of various scams targeting students and parents after the college entrance examination, exploiting their anxiety and desire for educational success [1] - Scammers utilize psychological tactics, creating a sense of urgency and fear around the college application process, which leads parents to fall for fraudulent services [1] - New technologies such as AI face-swapping and voice synthesis are being employed by scammers, increasing the difficulty of distinguishing between real and fake communications [1] Group 2 - A multi-faceted approach is necessary to combat post-examination scams, involving collaboration between educational departments, law enforcement, and social media platforms [2] - Social media platforms are encouraged to enhance their monitoring systems, combining algorithms with human oversight to issue timely fraud alerts [2] - Parents and students are advised to remain vigilant and rely on publicly available information regarding admission scores and university programs, rather than seeking expensive services from dubious organizations [2]

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