坚持以人民为中心的价值取向，是金融工作的出发点和落脚点。今年初，中国证监会主席吴清在调研投 资者教育基地中指出，"投资者是市场之本，保护投资者合法权益是证券监管的首要任务"。近年来，在 监管部门持续深入推动下，投教工作内容与形式不断创新，投教服务方式更加丰富，但投教的精准触达 率与长效影响力仍有提升空间。在一年一度的"5·15全国投资者保护宣传日"来临之际，南都湾财社推 出"对话投教护航人"系列报道，以深度展现行业机构在投教领域的创新实践、典型经验。 广东博众智能科技投资有限公司（以下简称"广东博众"）作为一家证券投资咨询机构，一直深耕在投教 一线。今年，该公司将人工智能技术引入投教工作，通过AI生成内容、算法推荐和智能投教助手，为 投资者提供个性化、智能化、陪伴式投教服务。AI投教有哪些优势和劣势？AI投教与人工投教如何协 同互补？如何平衡投教内容的专业性和传播性？围绕上述问题，近日，南都湾财社记者专访了广东博众 党支部书记兼分管投教负责人蔡永嘉。 广东博众党支部书记兼分管投教负责人蔡永嘉。受访者供图 总的来说，人工智能技术的跃迁，为投教行业带来了全新的机遇和变革。我们也将继续探索和深化人工 智能在投教领域 ...

Core Insights - The rise of AI technology is significantly transforming the landscape of cognitive warfare, making it increasingly difficult to discern truth from falsehood, lowering operational thresholds, and enhancing dissemination efficiency [1][5][11] Group 1: AI's Impact on Information Production and Dissemination - The number of websites generating false articles increased by over 1000% from May to December 2023, covering 15 languages [1][5] - AI's self-learning and optimization capabilities have led to the intelligent and customized spread of misinformation, making it harder to distinguish between true and false information [5][6] - AI-generated false images spread on social media at a rate six times faster than real content, demonstrating the destructive chain reaction of rapid misinformation dissemination [8] Group 2: Changes in Cognitive Warfare Dynamics - Cognitive warfare is evolving into a "big market" model where non-state actors, social media, and individuals can participate, shifting the dynamics of influence [7][15] - The operational threshold for engaging in cognitive warfare has decreased, allowing individuals to conduct large-scale information attacks with minimal resources [6][7] - The efficiency of information dissemination has increased dramatically, with AI's exponential capabilities enabling rapid global engagement on specific topics [7][8] Group 3: Systemic Risks and Challenges - AI's deep involvement in data collection, content production, and distribution creates a more systemic and covert value penetration model, posing multidimensional impacts on societal value systems [1][11] - The reliance on biased AI models can mislead users and distort their value judgments, as seen in the training data of AI models that may reflect inherent biases [12][13] - The recommendation algorithms can reinforce "information echo chambers," leading to a loss of awareness of diverse information and increasing societal fragmentation [12][14] Group 4: Governance and Regulatory Frameworks - Experts suggest the need for a comprehensive governance framework addressing technical defenses, talent reserves, legal regulations, and international collaboration to safeguard against AI-related risks [2][15] - The establishment of a "cognitive immune system" is essential to counteract the rapid spread of false information, with recent regulations mandating identification for AI-generated content [18][19] - International cooperation is crucial for creating a unified AI governance framework, which is not only a matter of technical ethics but also a strategic opportunity for enhancing global influence [19]

技术进步日新月异，但人类的整活能力总在领先一步。 2025年至今简中互联网最火的流行语，一是"国运论"，这篇透过deepseek看未来的雄文，后来被证实是AI生 成的内容； 二是"手机爹又把我干哪来了"，表达一种下滑刷到陌生内容的诧异感，延伸出来还有大量表情包，甚至短视 频滤镜。 每一条火爆全网的内容下，都有一群仿佛走错房间的网友，拘谨又嚣张地带着"手机爹"的迷茫表情包，光速 加入互动：上一秒还在看中科院院士讲解黑洞合并，下一秒就被甲亢哥带着欣赏广场舞；刚看了两集《450 分钟深度解读红楼梦》，转头就迷失在修驴蹄子的白噪音中。 硅基大脑能俯仰古今畅聊国运，但将"手机"和"爹"排列组合到一起，是只有碳基大脑能整出的绝活。这背 后，是技术与人的关系正在悄然改变。 当快速更迭的推荐算法，向我们展现出一个更多面的世界，大部分人都愿意放下刻板成见，借助代码踏进 未曾想象过的广阔天地。 贝索斯在后来给股东的信中写道：" 我们的愿景是，让世界上每一本书，无论语言如何，都能在60秒内获取 [1]。 " 这位前世界首富的出发点显然没那么简单。对电商平台来说，图书是不可多得的标品品类，电子书更完美 解决了唯一不足的库存负担。 但 ...

Core Viewpoint - Recent updates in apps like Xiaohongshu and Weibo allow users to visualize and adjust their content preferences, addressing concerns about algorithm transparency and user control over recommendations [1][4]. Group 1: User Control Features - Xiaohongshu introduced a "content preference adjustment" feature that displays a pie chart of users' browsing preferences over the past week, allowing them to adjust recommendation intensity across categories such as fashion, food, and travel [2][3]. - Users can choose from three levels of recommendation intensity: "reduce recommendation," "default intensity," and "increase intensity," and can also delete or add content tags [2][3]. - Similar features have been implemented in Weibo and Bilibili, where users can manage their content preferences through a pie chart and adjust recommendation settings [2][3]. Group 2: Algorithm Governance and Concerns - There are growing concerns about algorithmic issues such as "killing familiarity" and "information cocooning," prompting users to call for more control over algorithmic recommendations [4]. - The implementation of the "Internet Information Service Algorithm Recommendation Management Regulations" in 2022 mandates that platforms provide options for users to opt-out of personalized recommendations and manage their user tags [4]. - In response to these concerns, major platforms have introduced options for users to toggle personalized recommendations, aligning with regulatory requirements [5]. Group 3: Regulatory Actions - A joint initiative by four ministries launched in November aims to address issues like "information cocooning" and algorithmic manipulation, with a focus on user rights and algorithm transparency [5]. - The initiative requires platforms to conduct self-assessments and report on their compliance with the regulations, which has led to various governance measures being announced by platforms like Douyin, Weibo, and Xiaohongshu [5].

以下文章来源于笔记侠 ，作者苏德超 笔记侠 . 点我关注，与260万读者一起看透新商业本质。笔记侠，中国新商业知识干货共享社区，8000多篇干货 笔记，宏观趋势、组织管理、商业模式等28个主题可精准搜索。 来 源丨笔记侠（ID：Notesman） 作者丨苏德超，武汉大学哲学院教授 图源丨midjourney DeepSeek的爆红，仿佛一夜之间让我们全民都进入了AI时代。 在享受AI带来的生活便利和工作效率提升的同时，我们也发现了一些问题：例如AI会编造不存在的案 例、名人名言和数据，或者对回答张冠李戴甚至"胡说八道"。 这说明AI在价值观、道德能力和真假辨别上，还有完备空间，而我们又必然面对这个类人意识与类人智 能进入我们的工作和生活。 那么，我们要怎样适应AI时代？ 如果苏格拉底来到今天，他会怎样看待AI？ 我们怎样通过用好AI，来做好企业管理？ 为什么说梁文锋等企业家身上体现出的"近代精神"是非常可贵的？ 带着这些问题，笔记侠团队于2月27日邀请了武汉大学哲学院教授，知名哲学学者苏德超与中国人工智能 学会心智计算专委会副主任委员，武汉大学计算机学院教授蔡恒进进行了一次题为"AI时代，如何用哲学 提问和范 ...

以下文章来源于王智远 ，作者王智远 王智远 . 商业记录者，主持人、《复利思维》《自醒》图书作者；专注于市场营销、消费心理、AI新科技、精 神生活与商业探索。 本文来自微信公众号： 王智远 ，作者：王智远，原文标题：《搜索茧房，自由还是陷阱？》，题图来自： AI生成 事情是这样： 前几天，我在群里看到有人和AI互动，觉得挺有意思。我也打开DeepSeek，输入相同的问题：你认为人类 最伟大的地方是什么？请用四个字概括。 大家的答案五花八门：仁者见智、不断超越、爱与和平……而我的答案是：知行合一。为了对比，我又用 豆包、Kimi、腾讯元宝这几个工具试了试，发现答案都不一样。 大家玩得很开心，但我心里却冒出了疑问：为什么同一个问题，不同AI工具给出的答案会这么不一样？是 因为它们的模型不同，还是处理方式有差异呢？ 经过反复琢磨，我发现每个AI似乎都有自己独特视角，就像不同的人一样。它们会根据自己的"价值观"去 解释同一个问题。这种差异让我联想到了"信息茧房"。 一 以前，我们总说信息茧房是推荐算法造成的。 你搜什么、怎么提问，以及你愿意接受哪些答案，都会直接影响你看到的信息范围。这种新的茧房形式， 我们可以叫它" ...