The biggest risk of AI in higher education is not fraud, but the erosion of learning itself

The public debate about artificial intelligence in higher education largely revolves around a familiar concern: fraud. Will students use chatbots to write essays? Can instructors say that? Should universities ban the technology? Embrace?

These concerns are understandable. But focusing so much on cheating ignores the larger change that is already underway and that extends far beyond student misbehavior and even the classroom.

Universities are using AI in many areas of institutional life. Some applications are largely invisible, such as systems that help allocate resources, flag “at-risk” students, optimize course scheduling, or automate routine administrative decisions. Other uses are more noticeable. Students use AI tools to summarize and learn, teachers use them to create assignments and curricula, and researchers use them to write code, scan literature, and condense hours of tedious work into minutes.

People may use AI to cheat or skip work assignments. But the many possible uses of AI…