当前许多年轻人面临著由少数人工智慧公司主导未来职业发展的局面，而许多大学却出于疑虑选择在课堂上限制或禁用这些技术。然而，更好的应对方式是教导学生如何评估并掌控这些系统。微软执行长提到的「循环」概念指出，组织应将自身专业与人工智慧结合，并持续评估其表现以确保符合自身目标，从而掌握主动权。

作者在史丹佛大学商学院的教学实验中，鼓励学生亲自建立评估标准来测试主流人工智慧模型。学生们利用各自的专业与热情，针对不同主题设计出多样化的测试项目。这不仅培养了系统性测试技术的能力，也让学生学会如何对强大的模型进行个人化的监督与问责。

尽管基础知识仍然需要透过传统禁止使用人工智慧的课程来培养，但教导学生主动评估人工智慧技术同样不可或缺。作者期望未来每位大学生在毕业前都能亲自建立至少一项评估标准。只有具备衡量并引导这些系统符合自身需求能力的人，才能在人工智慧时代中真正掌握自己的命运。

Currently, many young people are facing a future dominated by a handful of artificial intelligence companies, while many universities are responding with suspicion by restricting or banning these technologies in classrooms. However, a better approach is to teach students how to evaluate and control these systems. The concept of the loop mentioned by Microsoft's CEO suggests that organizations should combine their own expertise with AI and continuously evaluate its performance to ensure it serves their goals, thereby maintaining sovereignty.

In a teaching experiment at the Stanford Graduate School of Business, the author encouraged students to build their own evaluation criteria to test leading AI models. Drawing on their personal passions and expertise, students designed diverse tests on various topics. This not only cultivated their ability to systematically test the technology but also taught them how to personally hold powerful models accountable.

While foundational knowledge still needs to be built through traditional courses where AI is prohibited, teaching students to actively evaluate AI technology is equally essential. The author hopes that every university student will build at least one evaluation before graduating. Only those who have the ability to measure these systems and bend them to their own purposes will truly remain in charge of their destiny in the age of AI.