AI cheating is creating a second job for professors
I’ve been looking into what is happening with AI and academic cheating lately, and the problem seems to be going far beyond students simply using AI on assignments. Professors are now spending huge amounts of time investigating suspected AI use, collecting evidence, meeting with students, writing reports, attending academic misconduct hearings, and dealing with appeals. Some are redesigning assignments around in-class work, oral explanations, process evidence, and assessments tied directly to course material. Others are starting to question whether it is even worth spending hours trying to prove every suspected case. I was wondering how much this is changing the professor’s actual workload? Teaching was already a demanding job and very enjoyable, but now some instructors feel like they are expected to become investigators on top of everything else. And honestly, if catching AI cheating takes so much time that professors are burning out, maybe universities need to rethink the whole approach instead of leaving individual professors to fight this battle case by case.