College students now balance personalized learning gains against the risks of algorithmic bias. This generation's familiarity with digital tools makes them essential contributors to AI policy development. They must move beyond passive usage to active oversight. Practitioners should integrate student feedback loops into governance frameworks to ensure tools align with actual educational needs.