當前許多年輕人面臨著由少數人工智慧公司主導未來職業發展的局面，而許多大學卻出於疑慮選擇在課堂上限制或禁用這些技術。然而，更好的應對方式是教導學生如何評估並掌控這些系統。微軟執行長提到的「循環」概念指出，組織應將自身專業與人工智慧結合，並持續評估其表現以確保符合自身目標，從而掌握主動權。

作者在史丹佛大學商學院的教學實驗中，鼓勵學生親自建立評估標準來測試主流人工智慧模型。學生們利用各自的專業與熱情，針對不同主題設計出多樣化的測試項目。這不僅培養了系統性測試技術的能力，也讓學生學會如何對強大的模型進行個人化的監督與問責。

儘管基礎知識仍然需要透過傳統禁止使用人工智慧的課程來培養，但教導學生主動評估人工智慧技術同樣不可或缺。作者期望未來每位大學生在畢業前都能親自建立至少一項評估標準。只有具備衡量並引導這些系統符合自身需求能力的人，才能在人工智慧時代中真正掌握自己的命運。

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.