AI has moved from classroom assistance into high-stakes misconduct decisions, and institutions are increasingly being asked how they define evidence, adjudicate appeals, and protect students’ rights. The reporting underscores that even when courts uphold sanctions, universities can still face exposure if procedures are incomplete or if evidence handling fails basic fairness standards. The combined record across cases emphasizes that institutions need a defensible process rather than relying on detection outputs alone—especially when decisions can trigger immigration consequences, visa outcomes, and long-term academic harm. Campuses also face a practical governance question: whether misuse of AI should be treated as a grading dispute versus academic misconduct under institutional policy.