Group 1 - The core idea of the article is the implementation of legal education activities for youth in Congtai District, Handan City, through engaging formats like "Police Micro Theater" and "Legal Script Murder" [1][9] - The activities aim to enhance legal awareness and self-protection skills among students, addressing issues such as campus bullying and AI fraud [9] - Over 3,000 youth have participated in these legal education initiatives this year, significantly improving their legal literacy and providing a protective legal framework for their healthy development [9]

转自：北京日报客户端 近日，《2025年北京地区学生网民网络安全感满意度调查分析报告》发布会暨北京网络空间安全协会教 育分会年会在北京召开。本次大会聚焦北京地区学生网民网络安全现状，汇聚各方智慧共商网络安全防 护治理之策。 《2025年北京地区学生网民网络安全感满意度调查分析报告》由北京网络空间安全协会教育分会联合中 国人民公安大学、北京航空航天大学、北京联合大学、北京政法职业学院、北京工商大学等30余家高等 院校，深入高校、职业院校开展系统性调研后形成，聚焦"学生视角"，精准捕捉学生网络安全需求与痛 点。 来源：北京日报客户端 据了解，2025年北京地区学生网民对网络空间总体安全感受正面评价率为65.25%。51.92%的学生认为 安全感较去年提升，75.05%对未来网络安全感持乐观态度，说明治理工作获得学生群体广泛认可，信 心持续增强，多数学生对网络安全未来持乐观态度。但对比2024年，2025年学生网络安全感满意度有所 下滑，下降趋势与全国平均水平基本一致。 北京网络空间安全协会教育分会会长高学金表示，网络已深度融入学生成长轨迹，但网络诈骗、隐私泄 露等问题仍如"隐形暗礁"威胁其健康成长，本次发布的调查 ...

AI生成美女视频引流，包装温柔悲情人设拉近距离，伪造病历证件获取信任，分工运作流水线骗钱， 虚拟货币转移赃款……这是杨某甲团伙精心设计的套路网恋诈骗的"五步走"套路。短短一年间，15名男 性被害人深陷"甜蜜陷阱"，累计被骗171万余元。经闵行区检察院提起公诉，法院以诈骗罪、帮助毁灭 证据罪、非法利用信息网络罪、帮助信息网络犯罪活动罪、伪造身份证件罪等依法判处6名成员相应刑 罚。 "完美恋人"甜蜜与崩塌 2024年5月，郭先生在短视频平台刷到一位名为"王女士"的女子发布的交友视频。画面中的她容貌姣 好、气质温柔，配文写着"寻真诚伴侣，共度余生"。郭先生关注后不久，便收到了对方的私信，两人随 即添加微信。 聊天中，"王女士"自称父母双亡，由小姨带大，经营一家服装店，渴望寻找踏实伴侣。日常的嘘寒问 暖、生活点滴的分享，让独居的郭先生逐渐心动。更让他感动的是，两人确认恋爱关系后，"王女士"特 意寄来一串"寺庙开光"的手串，"我特地求来开光保平安的。戴着它，就像我陪着你"。 然而，甜蜜并未持续太久。"王女士"很快以"小姨重病急需手术费""特效药费用高昂"等理由频频求助。 心软的郭先生先后转账超过20万元。但当他提出见面 ...

在一个"有图有真相""有视频有真相"的时代，当AI越来越聪明，你还能分得出真假吗？近来AI成为已经 成为"羊毛党"新工具——随着图片造假产业化，AI诈骗开始入侵电商领域。 技术热潮之下，生成式AI正在挑战并重建新秩序，但其被滥用的风险也在随之提升。从深度伪造引发 的内容失真，再到AI情感陪伴所触发的伦理困境，一系列典型案例不断进入公众视野，揭示了技术滥 用的现实隐患。 2025年12月18日下午，由南方都市报社、南都数字经济治理研究中心主办的第八届啄木鸟数据治理论坛 在北京举行。会上，南都发布了一份四万字的重磅报告《生成式AI落地应用：透明度测评与案例分析 报告（2025）》。 报告回顾了近些年118起生成式AI风险案例，聚焦生成式AI带来的社会信任挑战以及人机交互伦理争议 和治理痛点，并尝试提出切实可行的政策建议。 AI造假冲击个人权利、行业秩序和社会信任机制 司法场景中，海内外均出现律师利用AI生成虚假判例的情形。2025年10月北京通州法院披露，一名律 师在代理意见中引用了不存在的"（2022）沪01民终12345号"判决。法官因案号规律异常而识破，确认 该判例系AI凭空生成。该律师因未尽核实义务，被审 ...

法院经审理查明，2025年4月，被告人吴某通过他人介绍，得知前往全国各地收取诈骗资金可以赚 取高薪。为非法牟利，吴某添加了上线的联系方式，按照其指令上门收取诈骗资金。上门后，吴某拨通 上线语音电话并交给被害人，由其上线模拟被害人亲属声音取得被害人信任，吴某以此方式从三名被害 人处收取资金共计6万元，后在偏僻地点将诈骗资金交给他人，从中获利。 法院认为，被告人吴某以非法占有为目的，采取虚构事实的方法骗取多人财物共计6万元，数额巨 大，其行为已构成诈骗罪。法院综合被告人吴某到案后如实供述犯罪事实、向被害人退赔全部经济损失 并取得谅解以及认罪认罚等情形，作出上述判决。该判决现已生效。 法官提醒 随着仿声、换脸等AI技术的迭代，诈骗分子的诈骗手段也在不断升级。本案中，被告人实施诈骗 使用的AI拟声技术能高度还原人声音色，并实现实时对话交互，而老年人对现代AI技术较为陌生，往 往难以识别电话另一端的声音是否真实。此外，被告人对老年人心理的精准把握亦是诈骗得逞的关键。 一方面，被告人利用老人疼爱孙子的心理制造"紧急救场"的焦虑感，让老人没有充分时间核实事件真实 性。同时，被告人以"缝了12针"等细节增强真实感，虚构"派出 ...

央视网消息：近日，湖北省黄石市黄石港区人民法院审理了一起电诈案件。该案中，黄石市的三名老人，在接到以其孙子名义打来的求助电话 后陷入恐慌，被诈骗分子诱导骗取数万元现金，三名老人无一例外地声称，打来的求助电话里，确实传来的是自己孙子的声音。 "高薪工作"只需取钱 "车手"因诈骗罪获刑 近日，湖北省黄石市黄石港区人民法院审理案件并作出判决，依法判处该案中负责收取现金的"车手"吴某有期徒刑二年一个月，并处罚金人民 币15000元。 黄石市黄石港区人民法院刑事审判庭负责人 向淑青：吴某明知他人实施诈骗犯罪，仍然受上线的安排，到被害人处拿取诈骗资金，主观上具 有犯罪的故意，客观上为诈骗资金的转移提供了帮助，符合诈骗罪共犯的构成要件。我们根据《中华人民共和国刑法》第二百六十六条的规 定，认为其构成诈骗罪。 2025年4月，吴某的朋友给他介绍了一份所谓的"高薪工作"，只需"取钱"，每天就能获得至少1500元报酬。 今年4月，湖北黄石的丁奶奶接到一通来电，电话那头传来她"孙子"熟悉的声音，对方哭诉称在学校与同学发生冲突，不慎失手伤人。 听说孙子在学校出了事，丁奶奶顿时慌了神。电话那头的"孙子"就让奶奶准备好现金，说对方家长会 ...

Core Viewpoint - The article highlights the exploitation of elderly individuals in lower-tier cities by AI scammers, who take advantage of their limited understanding of technology and financial literacy, leading to significant financial losses for these vulnerable groups [6][20]. Group 1: AI Scams Targeting the Elderly - Scammers are targeting elderly individuals with various AI-related schemes, such as "AI financial literacy courses" and "AI digital grandchildren," which are prevalent on social media and short video platforms [6][21]. - Many elderly victims, like Song Yanyu, are lured into these scams by promises of easy income through AI-generated content, often leading to substantial financial losses [9][13]. - The scams are particularly effective in economically disadvantaged areas, where the elderly are more susceptible to misinformation and less likely to have access to protective resources [21][23]. Group 2: Psychological Manipulation - Scammers utilize emotional manipulation, creating a sense of companionship through AI-generated interactions, which makes elderly individuals more likely to trust and invest in these fraudulent schemes [26][28]. - The loneliness experienced by many elderly individuals exacerbates their vulnerability, as they seek connection and validation through digital means [27][28]. - The psychological impact of these scams extends beyond financial loss, affecting the victims' self-worth and mental health [28]. Group 3: The Role of Technology - The article discusses how the rapid advancement of AI technology has created a gap in understanding among older populations, making them prime targets for exploitation [20][23]. - Scammers employ sophisticated AI tools to create convincing content, including deepfake videos and AI-generated voices, which further complicates the ability of victims to discern fraud [27][28]. - Despite regulations aimed at identifying AI-generated content, many elderly individuals lack the knowledge to recognize these indicators, leaving them exposed to scams [27][28].

Core Insights - The financial black and gray market has shifted from traditional scams to algorithm-driven targeting of high-education and high-income groups, utilizing professional personas and AI-generated fake materials to lure victims with offers like "low-interest loans" and "debt negotiation" [1][2][5] Group 1: Evolving Scam Tactics - Current scams are no longer broad and indiscriminate but are now packaged to appear compliant and professional, making them more deceptive [2] - Scammers create fake investment research reports and impersonate financial experts to mislead victims on social media platforms [2][4] - The use of AI has significantly lowered the barrier for creating fake materials, allowing for rapid dissemination across multiple platforms [2][5] Group 2: Payment Schemes and Customer Interaction - Scammers offer various financial solutions with hidden fees, such as debt restructuring, charging between 6,000 to 8,000 yuan for services that promise to reduce interest payments [3][4] - Customer service representatives often downplay the fees, suggesting they are minimal compared to potential interest savings, and emphasize the legitimacy of their operations [3][4] Group 3: Regulatory and Institutional Responses - Regulatory bodies are actively conducting special operations to combat these scams, with significant actions taken against illegal financial intermediaries and fraudulent activities [8][9] - Companies like Qifu Technology and Xinye Technology are enhancing their anti-fraud technologies, implementing systems for fraud detection and case handling [6][7] - Collaborative efforts among various internet companies and regulatory agencies aim to establish a unified governance framework to combat financial misinformation and scams [9]

Core Viewpoint - The article discusses the rise of AI-generated fake images used for fraudulent refund claims in the e-commerce sector, highlighting the negative impact on trust and the operational challenges faced by merchants [4][5][24]. Group 1: AI Fraud in E-commerce - E-commerce businesses are facing a surge in fraudulent refund requests, where individuals use AI-generated images to falsely claim product defects [6][21]. - Merchants report that these fake images are often obvious, with some even containing AI watermarks, yet they still lead to successful refund claims [7][11]. - The food sector is particularly vulnerable, with AI-generated images making it difficult to discern real product quality issues [13][14]. Group 2: Impact on Merchants - The "only refund" policy, initially designed to simplify returns, has become a burden for merchants as they now have to scrutinize refund requests more closely [21][22]. - Merchants are increasingly forced to raise prices to offset losses from fraudulent refunds, which ultimately affects consumers [27][29]. - Small businesses, especially those in lower-tier cities, are significantly impacted by these fraudulent activities, threatening their daily operations and livelihoods [28][30]. Group 3: Legal and Platform Responses - The government has begun implementing measures to combat AI misuse, including regulations against the malicious use of AI-generated content [33][34]. - E-commerce platforms are enhancing their verification systems to protect merchants' rights and prevent fraudulent activities [34]. - The article emphasizes the need for a collective effort from legal frameworks, platforms, and a culture of integrity to restore trust in the e-commerce ecosystem [32][34]. Group 4: Trust and Ethical Considerations - The article argues that the misuse of AI for fraud represents a significant breach of trust, which is essential for the functioning of e-commerce [39][42]. - It calls for a return to basic ethical principles in transactions, emphasizing honesty and transparency between buyers and sellers [43][44].

Core Viewpoint - The rise of AI-generated fake images has led to a significant increase in fraudulent refund claims in the e-commerce sector, causing distress among merchants and undermining trust in the online shopping ecosystem [3][19][36]. Group 1: Impact on E-commerce - E-commerce platforms are facing a surge in fraudulent refund requests, where individuals use AI-generated images to falsely claim product defects [3][17]. - Merchants report that customers are submitting obviously fake images, sometimes with AI watermarks still visible, to justify their refund requests [5][8]. - The "only refund" policy, initially designed to streamline customer service, has become a burden for merchants as they now have to scrutinize refund requests more closely [17][22]. Group 2: Consequences for Merchants - Small businesses, particularly those in lower-tier cities, are severely affected by these fraudulent activities, with malicious refunds threatening their daily operations and livelihoods [23][24]. - The financial strain from these scams can wipe out the profits from multiple sales, pushing merchants into a precarious position where they must choose between accepting orders or risking losses [24][25]. - Merchants are increasingly raising prices to offset the risks associated with potential fraudulent refunds, which ultimately impacts consumers [22][36]. Group 3: Regulatory and Platform Responses - In response to the growing issue, regulatory bodies have begun implementing measures to combat AI misuse, including guidelines to prevent the malicious use of AI-generated content [29][30]. - E-commerce platforms are enhancing their verification systems to protect merchants' rights and prevent fraudulent activities [30][32]. - The establishment of an account integrity system aims to track and penalize users who engage in fraudulent refund practices [30][32]. Group 4: Trust and Ethical Considerations - The ongoing fraudulent activities are eroding the foundational trust that underpins the e-commerce ecosystem, leading to a situation where both consumers and merchants are increasingly suspicious of each other [19][36]. - The article emphasizes the importance of maintaining ethical standards in transactions, advocating for a return to simple, honest exchanges between buyers and sellers [38][39].