Academic integrity pressures are intensifying as universities and faculty adjust to AI-enabled cheating and new detection expectations. A report from Brown University says a professor suspects a majority of a class used AI to cheat, and faculty response has been criticized as “meek” by the instructor. The case adds to ongoing institutional discussions about how AI misconduct should be handled procedurally: which standards govern investigation, what evidence is required, and how penalties align with educational goals. It also highlights a practical challenge for faculty governance—consistent approaches across courses and departments. While the report centers on one campus incident, it illustrates the immediate compliance and culture work universities face as AI assessment becomes more common.