Somewhere between the winter of 2025 and this autumn, a large number of American schools stopped trying to catch their students. Not out of permissiveness, and not because the cheating had ended, but because the machines they had bought to police the cheating turned out to accuse the innocent at a rate no dean could defend. Turnitin's detector, the flurry of startups promising to sniff out synthetic prose, the browser plug-ins that scored an essay's "AI probability" like a weather forecast — these were, by the third quarter of the year, being quietly shelved. In their place rose a slogan that has since hardened into policy: stop detecting, start teaching. Do not ask whether the student used the machine; ask whether the student can think with it, around it, against it.
This is the tension the column takes up this week — between detection as a regime of enforcement and AI literacy as a regime of judgment, and the possibility that the second is being asked to do the work the first failed at, without anyone examining whether it can. The arc is not a simple conversion narrative, prohibition giving way to enlightenment. It is messier and more interesting: a discourse that spent early 2025 frightened of what AI was doing to student cognition, pivoted mid-year toward a confident language of empowerment and "human-centered" integration, and arrived in the fall still unable to say what, precisely, replaces the detector once the detector is gone.
What follows traces two lines that rarely touch. The first is what the education commentariat has been saying — the swing from banning to embracing, the vocabulary of prompt engineering and critical thinking. The second is what has actually been happening — the false-positive scandals, the adoption statistics, the emerging research on cognitive offloading. Where these lines meet, there is genuine insight. Where they miss, there is a vacuum being papered over with a phrase.
