Ivy League college students are, by definition, intelligent. They don’t need to use generative AI to cheat on exams; they could just learn the material. But they also tend to be competitive, ambitious, and overscheduled, so AI can look like an easy shortcut that makes more time in their lives for things that can’t be done by a chatbot. When the pressure is on, which approach do they choose?
A new scandal at Brown University reveals that huge numbers of these students are likely to cheat.
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A recent survey of Princeton students found that 29.9 percent admitted to cheating with AI on at least one exam or assignment. But the recent situation at Brown gives us a better sense of what this kind of cheating looks like in one particular class—and just how much it may be substituting for actual learning. And we know all this because the blind economics professor at the center of it all, Roberto Serrano, is not letting it go.
