If AI Can Teach, What Becomes the Role of Faculty?
A student uses AI to get unstuck on a difficult reading. That can help—but a clear explanation alone doesn’t guarantee learning. As AI takes on more instructional tasks, faculty’s judgment, course design, and support for students’ deeper understanding matter even more.
Knowing When Human Oversight Is Necessary
“Keep a human in the loop” sounds reassuring, but the presence of a person does not guarantee meaningful oversight. A reviewer can investigate an AI recommendation, compare it with other evidence, and stop a harmful outcome—or simply glance at it and click approve. Both workflows include a human. Only one preserves human judgment.
As AI moves from generating information to taking actions across workplace systems, we need to ask a more useful question: What must the human be able to see, understand, decide, and stop?
Working With AI Without Losing Professional Expertise
AI can improve a novice’s performance without building the expertise needed to work, evaluate, and recover independently. As AI takes on more entry-level tasks, educators and employers need to ask which capabilities people must retain—and how learning experiences can help them develop those capabilities before efficiency becomes the only goal.
AI Is Changing Tasks Before It Changes Jobs
AI is changing work, but not simply by replacing entire jobs. More often, it is reshaping the individual tasks, decisions, and responsibilities within them. Preparing students for this future means helping them understand what AI can support, what still requires human judgment, and where accountability remains.
Ethical Reasoning: Not Just Can We, But Should We?
AI can generate content, automate tasks, and offer recommendations, but capability is not the same as responsibility. Students need opportunities to ask not only whether AI can be used, but whether its use supports learning, protects trust, respects others, and preserves human judgment.