Teachers Pay Teachers will ban AI-generated teaching resources. But “AI-free” isn’t a quality standard. School leaders need a review standard: every resource checked and owned by a professional.
More than half of New York districts lack a board-adopted AI policy. But no policy is still a policy. Leaders need shared thinking staff can use, not just a document.
Teachers are using AI faster than systems are building shared understanding. AI professional learning has to start with leaders, name decision owners and become an ongoing system, not a one-time session.
AI teacher evaluations raise a trust question before a technology one. AI can help prepare an evaluation, but the ratings and judgment must be the leader’s own, and staff should know how AI is used.
Students mostly support in-class phone limits but oppose all-day bans. How leaders make this cellphone ban policy decision, by listening first, sets the pattern for AI policy next.
Teachers are redesigning assessment for AI one classroom at a time. Leaders should turn those solo fixes into a shared definition of what counts as evidence of student thinking.
AI can produce the polished products schools have long rewarded. Leaders now need shared language for human achievement that rewards visible thinking, not just finished work.
Student AI use is rising, and most high schoolers learn it on their own. Leaders need a plan to teach the thinking, so students build skill, not just better finished products.
Student AI concerns, from a New York walkout to Connecticut teachers’ worries about reading, are guidance, not resistance. Leaders should name what school will protect and bring students into the conversation.
AI in schools is an adaptive problem, not a technical one. Leaders make progress through structured listening, trusted partners and local learning, not top-down mandates or shaky research claims.