AI at Parent-Teacher Night

At parent-teacher conferences across the country, a new authority has entered the room: the algorithm. Conversations about a child's progress are increasingly mediated by a glowing screen, where color-coded dashboards and predictive trajectories replace human observation. But what happens when these systems are wrong? From the International Baccalaureate's devastating grading crisis to a Florida school district feeding student data into a police database, the illusion of objective measurement is quietly weaponizing information against children. These tools are not neutral; they are trained on historical data, enforcing statistical norms at the expense of individual potential. AI at Parent-Teacher Night is an urgent exposé and a practical guide for the modern parent. It provides a clear framework for interrogating the software governing the classroom, revealing the critical questions to ask about training data, optimization metrics, and override protocols. This investigation empowers parents to pierce the veneer of technological infallibility and reclaim their role as their child's most important advocate.