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About two-thirds of U.S. districts and states have some form of AI policy in place. The other third is, as Sasha Luks-Morgan puts it, the wild west. And even many of the policies that do exist, she argues, aren't doing what they're supposed to do.
Luks-Morgan is a policy analyst at SchoolAI, a K-12 AI platform they say is built around teacher visibility and student engagement, and she spends her days meeting with districts across the country helping them figure all this out.
In this conversation with Tech & Learning, she offers a clear-eyed framework for where AI policy in schools stands — and what it's going to take to move it forward.
Her three-pillar framework for any district starting from scratch: understand how your students and teachers are actually using AI right now; lock down student data privacy and personally identifiable information; and address academic integrity in a way that keeps students in the driver's seat of their own learning rather than offloading cognition to a machine.
"Systems only move as fast as the humans in them," she says. "That's the starting point."
She also draws a sharp distinction between two policy philosophies that often get conflated. Acceptable use policies, she says, are essentially lists of prohibitions. Responsible use policies are something different — these model good behavior, explain the reasoning behind expectations, and treat students as participants in the process rather than subjects of it.
On the vendor side, she is equally direct: the edtech industry has not taken enough responsibility for making tools work in ways that support good policy. SchoolAI's response is a free policy-writing service — available to any district, partner or not — in which a member of the team will sit with administrators, hear their concerns, and draft or revise a policy document they can take to legal counsel and implement.
"Bad policy is worse than no policy," she says. "We really want to see districts succeeding."
She also addresses district scale: the fundamentals — student privacy, ethical use, data governance — apply universally, from a 108-student K-8 district in the Mid-Atlantic to New York City Public Schools. What changes is implementation, committee structure, and who carries the weight. In small districts, that often means one superintendent or tech director holding the entire AI portfolio alone.
Her advice for the path forward: review your policy annually, build teacher expertise so your bench runs deep, and accept that the technology will always outpace the paperwork. The goal isn't to catch up but to stay close enough to matter.
