我在富曼大学与教师及人工智能工作组会面时，被问了一个聪明而尖锐的问题：我希望文理学院教给学生哪些人工智能知识，才能帮助他们做好为我们工作的准备？
I met with faculty and the AI task force at Furman University and got a smart, provocative question: What do I wish liberal arts colleges taught students about AI to prep them to work for us?
换句话说，根据当今已经明确的AI能力，以及我们不断演变的预期，CEO们想要什么、需要什么？
In other words, what do CEOs want and need based on the known-knowns of AI capabilities today and our evolving expectations?
我的梦想是：每位大学生从入学第一天起，每学期都上一门名为“AI共生”的课程。课程内容 constantly 更新，讲解如何使用最新模型，以及如何应对其带来的伦理、哲学和现实影响。它可以融入一个三轨并行的培养体系：
My dream: Every college student, from Day 1, takes a course every semester called "Living AI." It's constantly updated — how to use the newest models and how to grapple with their ethical, philosophical and practical consequences. It fits into a three-track approach:
- 不借助AI思考。在大多数教室里，应大幅限制或禁止使用AI。以深化和拓展思维为核心的课程，应迫使学生独立阅读、推理和写作。我们需要的是思想家和问题解决者。
- Think without it. In most classrooms, greatly limit or ban AI. Courses built to deepen and widen thinking should force students to read, reason and write on their own. We need thinkers and problem-solvers.
在一个人工智能无处不在的世界里原创思维将成为你的差异化优势。如果你自己对这个世界一无所知，就无法掌控或判断AI的输出。
In an AI-saturated world, original thinking becomes your differentiator. You can't steer or judge AI's output if you don't know anything about the world yourself.
- 与AI协作。每个专业都应让学生在毕业时真正掌握如何将AI用于本专业。
- Work with it. Every major should graduate students with real expertise in using AI for that specific field.
营销专业的毕业生应能熟练运用AI开展营销。生物、金融、历史、护理等专业也应如此。这意味着教师要讲授AI在各自领域的具体应用，而不只是通用的入门教程。
A marketing grad should run AI like a pro for marketing. Same for biology, finance, history, nursing. This means faculty teaching field-specific application, not just the generic tutorial.
- 与AI共生。这就是面向所有人的“AI共生”课程理念。要聘用现实主义者。要寻找头脑清晰、务实的教师，他们会使用并持续追踪模型及其能力，而不是末日论者或盲目乐观者。他们会为AI的新能力感到惊叹，随后又冷静、严谨地评估其对现实世界的影响。
- Live with it. That's the Living AI course concept for everyone. Hire realists. Find clear-thinking, practical teachers who use and track the models and capabilities, not doomers or cheerleaders. People who marvel at its new capabilities, then clinically assess the real-world impact.
要让课程保持活力。它不能是一门静止不变的课程。模型 constantly 变化，能力呈指数级增长。因此，“共生”中的“活”至关重要：要把它当作一个不断演变的课题，努力让课程更新节奏跟上技术发展的步伐。这很难，但可以做到。
Keep it alive. This can't be a static course. The models change constantly, and capabilities grow exponentially. So the "Living" part is vital: treat it like an ever-evolving topic. Try to match the pace of the class with the pace of tech, which is hard but doable.
教学不能止于技术。这些学生将面对一系列极具挑战性的哲学和伦理问题：什么是意识？机器能成为朋友吗？什么才算自己的作品？人工智能智能体闯下祸祸时，谁来负责？借助每周的人工智能新闻，引出这些辩论。
Teach beyond the tech. These students will face wild philosophical and ethical questions: What is consciousness? Can a machine be a friend? What counts as your own work? Who is responsible when an AI agent screws up? Use each week's AI news to tee up those debates.
把它视为正在发生的历史。没有人能够置身事外。这是我们的“电力时刻”，也是一代人面临的挑战与机遇。课程应促使学生思考如何塑造人工智能，使其造福社会，而不只是满足个人需求。
Treat it as living history. No one gets to sit this one out. This is our electricity moment. It's a generational challenge and opportunity. The course should push students to think about shaping AI to benefit society, not just themselves.
值得一读：《纽约时报》深入探讨了人工智能对学生大脑影响的研究。
Worth a read: The New York Times dug into research on students' brains on AI.
这句话藏在报道中段，却应该被张贴在每一间教室的墙上：“迄今为止，这些研究得出的一致结论是：人工智能正在影响人们，尤其是年轻人，学习和记忆的方式。我们是否会因此变得更愚笨，可能取决于我们如何使用人工智能，而不取决于我们是否会使用人工智能。” 如果你是首席执行官，或供职于首席执行官团队：不妨申请加入吉姆新推出的《Axios》C-Suite每周通讯。
This, buried midway through the story, should be stamped on every classroom wall: "These studies so far agree: Artificial intelligence is affecting how people, especially the young, learn and remember. Whether we will be dumber as a result might depend on how — not if — we use A.I." If you're a CEO or on a CEO's team: Ask to join Jim's new weekly Axios C-Suite newsletter.