AI Detection in Classrooms: Why FairProcess Beats Surveillance

This article argues that detection-first approaches fail on their own terms, and that institutions will protect academic integrity far more effectively by building a fair process, clear expectations, disclosure, evidence of student work, and human judgment. The goal is not to abandon technology. It is to stop treating a statistical score as proof of misconduct.