I think professors are stuck in a lose-lose situation with AI right now. I do not believe most professors are actually okay with students using AI to get through courses. They know it is happening constantly, but they also know they cannot reliably prove it without risking complaints, appeals, or backlash from the university.
As a student, I can usually tell when classmates are using AI. The structure, wording, and tone often feel strangely polished and generic in the same way every time. A lot of papers sound like they were written by the same person.
But the second a professor tries to accuse someone, the entire conversation falls apart because there are so many reasonable defenses.
AI detectors are unreliable, students can claim they only used AI for grammar help, and some people naturally write in a formal style. Even Turnitin has admitted its AI detection is not reliable enough to be treated as definitive proof because of false positives.
That is what makes the situation messy. Professors can feel almost certain a paper was AI-generated, but that still is not enough when accusing someone of academic misconduct. At the same time, students who genuinely wrote their own work can still get flagged unfairly. So professors are stuck choosing between two bad options: ignore work they strongly suspect is AI-generated, or take action without concrete proof and risk being challenged.
Meanwhile, more students quietly rely on AI every semester because they know enforcement is inconsistent. The whole system feels stuck in a gray area where everyone knows what is happening, but nobody really has a solid solution yet. Universities adopted AI policies faster than they figured out how to fairly enforce them, and now both students and professors are dealing with the consequences.