经济观察报记者陈姗 "当前，教育行业正处在变革的十字路口。全球教育市场规模持续扩大，新技术正深刻重塑教育模式， 但同时，地缘政治、经济波动、人口结构变化等因素也带来严峻考验。"中欧国际工商学院院长汪泓在8 月21日召开的"2025第十一届WWEC教育者大会暨第二届中欧教育论坛"上表示，AI技术的发展为教育 行业带来了前所未有的机遇与挑战。 据统计，全球教育市场规模在2025年将达到7.3万亿美元，并有望在2030年增长至近10万亿美元。汪泓 表示，人工智能、大数据、量子信息、云计算、区块链等新一代信息技术加速突破，产业链、创新链对 接着学科链、知识链的融合，正以前所未有的速度推动教育的发展，人口结构的变化也对教育行业发展 带来深刻影响。汪泓强调，在多重压力下，教育行业提前布局、主动引领、把握机会，打通教育隐性壁 垒具有重要性和迫切性。 会上，来自教育、科技、投资等领域的专家学者，进一步聚焦人工智能在教育垂直领域的深度融合与创 新落地，探讨AI如何赋能教育企业发展。 教育部规建中心原主任陈锋发表了题为"AI时代的学校和校长"的主题演讲。他指出，人工智能带来的变 革速度远超预期，将影响所有行业，未来90%的现有工 ...

Group 1: Core Concepts of Machine Emotion - Machine emotion refers to the external manifestation of human-like emotions by AI systems, relying on emotional intelligence and emotional computing as the main technological pathway [3][5][6] - The concept of machine emotion is interdisciplinary, involving cognitive science, emotional philosophy, psychology, computer science, and sociology [5][6] - Emotional intelligence is the foundational capability for machine emotion, encompassing emotional recognition, expression, experience, and control [6][9] Group 2: Construction and Characteristics of Machine Emotion - Machine emotion is characterized by its constructiveness, mimetic nature, embodiment, and computational aspects, emphasizing the generation logic and operational mechanisms of machine emotion [5][12] - The realization of machine emotion depends on emotional computing, which captures human emotional data through various sensors and builds a personalized computational system for emotional understanding and response [7][12] - Machine emotion is limited in its ability to mimic human emotional recognition and expression but lacks genuine emotional experience and control [12][16] Group 3: Human-Machine Emotional Interaction - Human-machine emotion is fundamentally a projection of human emotions onto machines, lacking true intersubjectivity and emotional sharing [13][15] - The construction of human-machine emotion is influenced by psychological mechanisms, such as anthropomorphism and social cultural factors, which shape human emotional responses to machines [15][16] - The emotional interaction between humans and machines can lead to risks such as emotional deception, emotional monitoring, emotional degradation, and emotional manipulation [17][18] Group 4: Ethical Considerations and Development of Machine Emotion - To mitigate risks associated with machine emotion, it is essential to construct machine emotions that serve human needs and enhance interaction [18][19] - The development of machine emotion should adhere to a limited approach, ensuring the appropriateness of emotional capabilities and avoiding exaggerated claims [19][20] - Transparency, authenticity, and rigor should guide the promotion of machine emotions, ensuring users are aware of the simulated nature of emotional responses [20][21]

图片来源： No Priors Z Highlights 李飞飞，著名的人工智能专家和斯坦福大学计算机科学与电子工程系的教授，因其在计算机视觉和深度学习领域的开创性工作而广受认可，被誉为 "AI 教 母 " ，后创办了 World Labs ，专注于空间智能领域。本次访谈由 No Priors 发布于 2025 年 6 月，她剖析了 World Labs 背后的人文和技术动机，还讨论了 3D 世界建模面临的挑战、她组建卓越团队的策略等等。 创业初心：点燃空间智能新火种 Sarah ： 听众们大家好，欢迎回到《 No Priors 》播客。今天的嘉宾是李飞飞，她是计算机视觉和深度学习领域的先驱。她创建了具有开创性的 ImageNet 数据集，帮助点燃了深度学习革命。李飞飞是斯坦福大学教授、 Stanford HAI （ Institute for Human-Centered AI ）的联合主任。她曾领导 Google Cloud AI ，为国际政策制定者提供建议，并最近共同创立了 World Labs 公司，致力于开发具备空间智能的 AI 。飞飞，非常感谢你今天加入我们。 李飞飞 ： 谢谢邀请，这将会很有趣。 ...