College students now balance personalized learning gains against the systemic risks of automation. This generation's digital fluency makes them essential architects for future AI policy. They must move beyond using tools for efficiency to defining ethical guardrails. Practitioners should integrate student feedback into governance frameworks to ensure tools serve human learners, not replace them.