Every time a student submits work that doesn’t reflect what you know about them, you face the same impossible task: proving something that was designed to be unprovable. AI detection tools offer a number, not an answer. Formal academic integrity processes demand evidence that, in most AI-related cases, simply doesn’t exist. Faculty are left spending time on a process that rarely produces a useful outcome and does nothing to answer the question that actually matters in a course: Did this student learn?
