Idaho Just Made AI Policy Mandatory for Schools. Montana Districts Should Read the Fine Print.

by   |   Aug 24, 2026

On August 12, the Idaho State Board of Education unanimously approved the Generative Artificial Intelligence in Education Framework. It now goes to the Legislature, and if lawmakers sign off next session, the standards take effect no earlier than the 2027-28 school year.

That is the headline. The more useful story for Montana districts is what sits underneath it, because Idaho did something different from what most states have done so far. Idaho did not publish advice. Idaho passed a law.

What Idaho actually did

The framework exists because of Senate Bill 1227, signed by Governor Brad Little in March 2026. The bill created an entirely new chapter in Idaho Code and did far more than authorize a guidance document. It directs the State Department of Education to build a statewide framework covering human oversight, transparency, safety, and data security. It requires every public school district and public charter school in Idaho to adopt its own AI policy that aligns with that framework and complies with FERPA and the Idaho Parental Rights Act. It mandates AI literacy standards for students and professional development for educators. And it sets procurement requirements: vendors selling into Idaho schools must disclose whether their products use generative AI or machine learning and must demonstrate compliance with student data protection law.

Superintendent of Public Instruction Debbie Critchfield has been direct that the law does not force anyone to use AI. The bill was widely misread as a mandate to put AI in classrooms, and she has pushed back on that reading repeatedly. Nothing in the statute compels a teacher to use the technology. What it compels is a policy, whether or not the district ends up saying yes.

The framework itself draws some hard lines. Schools cannot replace teachers with AI. Educators cannot use AI to grade student work at any level. Expectations are tiered by grade band, with a vertical progression from basic conceptual understanding in K-2 up through more advanced literacy in high school, and academic integrity runs through all of it: when AI is appropriate for schoolwork, when it is not, and how students disclose its use.

Idaho also brought money and partners. A $250,000 STEM Action Center grant supports a statewide course on generative AI literacy, and Micron and Microsoft committed educator training and tool access. State leaders have said the goal is 40,000 educators and students trained on AI literacy by 2029.

The part the regional coverage keeps getting wrong

You will see Idaho described as one of the first states in the region to formalize K-12 AI standards. That framing does not hold up. The Mountain States Policy Center, writing about this same framework, called Idaho the last state in the Mountain West to develop a state-recognized AI framework. Utah published its P-12 AI framework in 2024 and refreshed it in March 2026. North Dakota has a K-12 AI framework. By mid-2026, roughly 37 states had some form of official AI guidance in place.

Montana is on that list. In October 2025, Superintendent Susie Hedalen released the Montana Artificial Intelligence in K-12 Education Guidelines, developed with the Frontier Learning Lab at Montana Digital Academy. It is a living document on a biannual review cycle, built around five core principles: data privacy and security, transparency and accountability, bias awareness and information verification, human oversight and educator judgment, and academic integrity. In parallel, MTSBA released model AI policy language to boards statewide. In January 2026, the Montana Board of Public Education passed a resolution acknowledging that work and stood up an Artificial Intelligence and Technology Special Committee.

So Montana is not sitting in a vacuum. Montana has guidance, model policy language, and a state board committee.

What Montana does not have is a statute. And that is the actual gap.

Guidance versus mandate

Idaho districts will be required to adopt a board-approved AI policy. Montana districts are invited to. That difference shows up in the field.

Reporting this spring found Montana boards adopting AI language gradually, with Missoula, Florence, and Stevensville among those working through the MTSBA boilerplate. Missoula's draft bars staff from entering student names, grades, or other personally identifiable information into AI tools and allows administration to require disclosure of AI use. Stevensville's task force did its own independent research before recommending language broad enough to survive the next product cycle.

That is thoughtful work. It is also uneven, district by district, on a voluntary timeline, while every teacher and student in the building is already using these tools.

Two more things worth tracking. Idaho is not alone: new laws in Maryland, Oklahoma, and Virginia also require districts to adopt AI policies aligned to state guidance, with Oklahoma barring AI from grading, discipline, and other high-stakes decisions. And in July, 98 high school students from all 50 states met in Boston and passed the STUDENTS FIRST Act of 2026 by an 82-16 vote. It is a model policy rather than real legislation, produced with the Edward M. Kennedy Institute, AASA, and MIT's Day of AI, but AASA is circulating it to more than 10,000 school leaders, and some of its provisions are sharper than what most districts have written for themselves. It bans AI on graded tests, requires teachers to post a written AI policy each semester, and requires a teacher to personally investigate before an AI detector flag becomes a discipline referral.

The Montana resource we point districts to first

If your district is starting this work, start with the Frontier Learning Lab at Montana Digital Academy. It is the resource we recommend to every district we work with, and it is the one most Montana schools are underusing.

The Lab was funded by the 2025 Montana Legislature and runs out of MTDA at the University of Montana. It is built on three things Montana districts actually need right now:

  • The AI Help Desk. Real people, not a chatbot. Educators, administrators, and support staff can email a question about a tool, a lesson, or a student data concern and get a practical answer back. It was the first of its kind in the country and has drawn national attention. Reach it at ai.help@mtda.org.
  • Professional learning at no cost to Montana educators and schools. Workshops delivered in person, virtually, or as regional multi-school sessions, plus a hybrid coaching course that builds internal capacity by taking your AI-forward staff through modules on AI literacy, digital literacy, and student privacy. For a small district that cannot staff an AI lead, this is how you build one.
  • A curated directory of vetted AI, VR, and AR tools evaluated against classroom fit, student safety, and accessibility. This is the piece that pairs directly with the procurement and inventory work below. Someone has already done the first pass of vetting, and it was done with Montana privacy expectations in mind.

MTDA also publishes Field Notes from the Frontier Learning Lab, a Substack covering what Montana classrooms are actually doing with these tools. It is worth a subscription for anyone on a district tech or curriculum team.

Two reasons we point here rather than to a national vendor. First, the Lab co-authored the state guidelines your board policy will reference, so the advice and the policy language come from the same place. Second, it is Montana-built, tuned for rural, urban, and tribal contexts, and it does not have a product to sell you.

What Montana districts should do before January 2027

The Montana Legislature convenes in January 2027. If an AI bill lands, districts with a working policy already in place will be adapting. Districts without one will be scrambling.

Six things worth doing this fall:

  1. Adopt board policy, not just practice. Start from the MTSBA model language and the OPI guidelines rather than a blank page. Both were built for Montana, including rural and tribal contexts.
  2. Write down what staff may and may not put into a chatbot. Student names, grades, IEP content, discipline records, and health information are the obvious lines. Most of the real privacy risk in a district right now is a well-meaning teacher pasting a roster into a free tool.
  3. Inventory the AI already in your stack. Your SIS, your filtering platform, your assessment tools, and your help desk software may all have AI features that turned on by default. You cannot govern what you have not counted. Check anything new against the Frontier Learning Lab's vetted tools directory before it lands in a classroom.
  4. Put vendor disclosure in your procurement language. Idaho now requires it by statute. There is nothing stopping a Montana district from requiring it by contract today.
  5. Decide the grading question explicitly. Idaho prohibits AI-assisted grading outright. Oklahoma bars AI from high-stakes decisions. Whatever your district decides, decide it on purpose and write it down.
  6. Get your staff trained while it is free. The Frontier Learning Lab schedules workshops on a first-come basis and can deliver regionally, so neighboring districts can share a session. Booking a fall or winter date costs you an email.

The districts that move now get to define their own standard. The districts that wait get to comply with someone else's.

K12 Montana works with roughly 40 districts and nonprofits across the state on the technology side of exactly these decisions: tool inventory, data privacy configuration, filtering and access controls, and procurement language that holds up. If your board is heading into AI policy discussions this year and you want the technical side mapped before the conversation starts, get in touch.

Sources

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Jeff Patterson
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