A familiar scene is unfolding in classrooms: laptops open, AI prompts are refined, and paragraphs appear — polished, plausible, and often impressively composed. Students are using the tools available to them, as any professional-in-training would. The question facing educators is not whether these tools should exist or if students should use them. The question is how educators adapt to tools including AI so that reasoning, judgment, and communication remain central and observable.
One of the enduring propositions of higher education is that learning collectively is different from learning alone. If graduate education were only about acquiring facts, students could increasingly do that work independently at home, given the abundance of information available to them. What a graduate school education offers is the opportunity to learn in relationship with peers with diverse experiences and backgrounds.
Students do not come to the Yale School of Public Health as blank slates. They arrive with lived experiences, having studied different things in college, and with distinct ways of seeing the world. A classroom that treats those differences as background noise misses its greatest asset — but a classroom that is structured so that students encounter, test, and build on those differences becomes something more than a course. It becomes a community of learning.