College and K-12 stakeholders are reacting to AI as both an academic tool and a classroom risk factor. Recent reporting points to students booing prominent AI references at commencements even while using AI in coursework at high rates, creating a mismatch between public attitudes and day-to-day behaviors. Faculty are also moving to contain AI-driven cheating. Coverage highlights cases such as Princeton University rescinding a long-standing honor code approach and moving to proctoring for in-person exams, while other universities and instructors report exam anomalies they associate with AI misuse. The emerging picture for higher education is not simply “AI adoption” but governance: schools are adjusting integrity policies, assessment formats, and supervision strategies to match a new baseline where students encounter generative AI tools throughout their academic cycle.