AI培训坑老乱象该休矣

Core Viewpoint - The rise of fraudulent AI training schemes targeting the elderly highlights the exploitation of technology for profit rather than empowerment [2][3][4] Group 1: Nature of the Fraud - Fraudulent AI training programs lure elderly individuals with promises of easy income and quick learning, often using tactics like "free trial classes" and "limited spots" to create urgency [2][3] - Many elderly participants are misled into believing they will receive personalized instruction, only to find themselves in large group sessions with minimal actual training [2][3] - The portrayal of AI as a means to achieve high income is misleading, as actual earnings from AI-generated content are significantly lower than advertised [3] Group 2: Psychological Manipulation - The schemes exploit the psychological vulnerabilities of the elderly, who desire to remain relevant and fear being left behind by technological advancements [3][4] - Language used in marketing, such as "second career" and "active thinking," exacerbates feelings of anxiety among older adults, making them more susceptible to scams [3] Group 3: Platform Responsibility - The lack of accountability from online platforms allows these fraudulent activities to flourish, as they often fail to enforce regulations regarding the verification of trainers and the content they promote [3][4] - Customer service responses to refund requests are often dismissive, citing "private transactions" as a reason to evade responsibility for the fraudulent claims made by training institutions [3] Group 4: Need for Protective Measures - A multi-faceted approach is necessary to combat these scams, including legal measures to classify fraudulent AI training as a crime and the establishment of a blacklist for offending institutions [4] - Platforms should implement specialized review mechanisms for courses targeting the elderly, particularly those promising high returns with little effort [4] - Community initiatives should focus on educating the elderly and their families about digital fraud, using real-life examples to dismantle deceptive marketing tactics [4]