The U.S. Education Department's new AI guidance, decoded
Peer Insights
The consent piece is the sleeper. Our procurement checklist didn't cover model training data at all.
Anyone have a template AI-use policy that maps to this? Happy to trade.
AI, in education.
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AI is already in classrooms, lecture halls, and district offices. More than half of K–12 teachers and students now use it for instruction and schoolwork, up more than fifteen percentage points in a year or two. The guidance on using it hasn't kept up. So the people closest to the work are piecing it together from headlines, hearsay, and vendor decks. The signal is there. The time to find and understand it in their own context isn't.
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The consent piece is the sleeper. Our procurement checklist didn't cover model training data at all.
Anyone have a template AI-use policy that maps to this? Happy to trade.
Effect size is modest, but the fidelity data is the real finding. It only moved where the teacher set the task first.
Worth reading the appendix on attrition before anyone quotes this at a board meeting.
What do we have to do first for the new K-12 AI guidance?
Start with a written AI-use policy and a named owner. That's the one thing the guidance frames as expected of every district. Next, confirm any tool touching student data has a consent and audit path. Staff training and classroom dos-and-don'ts come after that; they're advisory, not required.
The Department's first formal guidance treats classroom AI as a governance question, not a gadget one. Every district is expected to publish a written AI-use policy, name an accountable owner, and draw a clear line between AI that assists a teacher and AI that decides something about a student. The framing borrows heavily from existing data-privacy law, so most of it will feel familiar to anyone who has handled FERPA.
If you lead a district or campus, three things move to the top of your list this quarter: adopt (or update) an AI-use policy, brief your board on what's mandatory versus advisory, and confirm that any tool touching student records has a consent and audit path. Nothing here bans AI. It asks you to be able to explain how you use it.
The guidance is non-binding, but it signals where enforcement and future rulemaking will land. Watch two open questions: how "high-stakes" AI decisions get defined, and whether states layer stricter consent rules on top. Treat this as the floor, not the ceiling.
Written AI-use policy, required of every district
Consent before student data reaches any model
Clear line: AI that assists vs. AI that decides
Audit trail for any AI grading or ranking
Host: The Education Department just published its first real guidance on AI in K-12, and the headline isn't a ban.
Co-host: Right. It's a governance ask. Every district needs a written policy and someone who owns it.
Host: And the part leaders feel first? Consent and audit trails for anything that touches student data…
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