Does Your Montana District Need a Formal AI Policy Yet? What the New State Mandates Signal

Short answer: Montana does not require your district to adopt an AI policy. Six other states now do, four of them as of this year. Montana has already published the guidance and the model board language that a mandate would point back to. If your board has not formally adopted an AI policy, you are working with tools the state handed you eighteen months ago and have not picked up.

Here is what changed this summer, where Montana actually stands, and what a district can realistically get done before the December board meeting.

What happened in July: students wrote the framework adults have been avoiding

In July 2026, student delegates representing all 50 states gathered at UMass Boston and MIT for America's Youth AI Festival. Meeting in a full-scale replica of the U.S. Senate chamber at the Edward M. Kennedy Institute, they debated and passed the STUDENTS FIRST Act of 2026 by a vote of 82 to 16. The effort was organized by Day of AI, MIT RAISE, the Kennedy Institute, and AASA, The School Superintendents Association.

To be clear about what this is: it is not law, and no one is claiming it is. It is a policy framework, and AASA is circulating it to more than 10,000 school system leaders nationwide as a starting point for local conversations.

What makes it worth a superintendent's attention is that students did not ask for a ban and did not ask for open access. They drew lines. Among the provisions:

AI literacy instruction before students are handed a device
No AI-generated written or artistic assignments at any grade level
Starting in 9th grade, AI permitted for brainstorming, studying, and editing, but only with teacher permission and clear disclosure
No AI use on graded assessments
A right to appeal an accusation of improper AI use, with human investigation by multiple officials and no discipline based solely on detection software
Teachers may require an oral defense or handwritten assessment to confirm independent understanding
No AI profiling of students by ethnicity, religion, appearance, beliefs, or values
No identifiable student information entered into AI tools by staff
No AI as the sole basis for grades, discipline, or hiring decisions
Students who decline AI get an alternative assignment; teachers may decline as well
AI may not substitute for a counselor or trusted adult on serious personal matters
A prohibition on AI-generated images, audio, video, or messages used to bully, harass, or defame anyone in the school community

Read that list against your current handbook. Most Montana districts can point to an academic honesty policy that predates ChatGPT and not much else.

You can read the full STUDENTS FIRST Act on the Day of AI site, and the AASA announcement here.

Six states now require districts to adopt an AI policy

This is the part that turns a national conversation into a planning problem.

In 2026, four states enacted laws that require local districts to adopt AI policies aligned to state guidance:

State	Law	What it requires
Idaho	SB 1227	State framework for generative AI in K-12; districts and charters must adopt aligned policies; state AI literacy standards for students
Maryland	SB 720 (AI Ready Schools Act)	Districts adopt aligned policies within 120 days of state guidance, and must designate an AI coordinator
Oklahoma	SB 1734 (Responsible Technology in Schools Act)	District policies in place before the 2027-28 school year; parent opt-out without academic penalty; AI barred from primary use in grading and discipline; annual parent disclosure
Virginia	SB 394	State guidance including teacher training, with aligned local policy expectations

Ohio and Tennessee got there earlier. Ohio districts faced a July 1 deadline; Tennessee's ran from the start of the 2024-25 school year.

The pattern across all six is identical: the state issues guidance, then the local board is required to adopt something aligned to it. Districts do not get to skip the board vote. They get a deadline for it.

Where Montana actually stands (this surprises people)

Montana has no mandate. Montana also is not behind.

October 2025: Superintendent of Public Instruction Susie Hedalen released Montana's K-12 Artificial Intelligence Guidance, developed with Montana Digital Academy and stakeholders statewide. It is a living document built around student privacy, human oversight, transparency, academic integrity, AI literacy for staff, and Montana's rural realities. It explicitly preserves local control: how a district implements AI is the district's call.

MTSBA model language: The Montana School Boards Association, working with OPI and MTDA, released boilerplate AI policy language that boards can adapt. It is written broadly on purpose so it does not need rewriting every time a vendor ships a new feature.

Adoption in practice: Boards in Missoula, Florence, and Stevensville have been working through this language. Most Montana districts have not.

So the gap in Montana is not a missing framework. The framework exists. The gap is between guidance sitting on a website and a policy your board has actually voted on, your staff has actually been trained on, and your technology stack actually enforces.

If a mandate arrives in the 2027 session, districts that already adopted MTSBA-aligned language will be doing a review. Districts that have not will be doing a scramble, in the same window as budget season and E-Rate filing.

The best free AI resource in Montana is one most districts are not using

If your district needs help with any of this, start here: Montana Digital Academy's Frontier Learning Lab.

This is the single strongest in-state resource for AI in Montana K-12, and it costs districts nothing. The Frontier Learning Lab was funded by the 2025 Montana Legislature and operates out of the University of Montana under MTDA Executive Director Dr. Jason Neiffer and FLL Director Caitlin Byers. It exists specifically to help Montana schools work through AI and emerging technology without hiring a consultant.

What districts can actually use:

An AI Help Desk for educators. Email a real person with a real question about prompting, student data, or whether a tool is appropriate. The lab describes it as the nation's first AI help desk built just for K-12 educators, and it has drawn recognition from Google.
Workshops and professional learning at no cost to Montana educators and schools, delivered in person, virtually, or as regional multi-school sessions. They meet districts wherever they are on the readiness curve.
Co-designed pilot projects, so a small district can test something before committing to it.
Pop-up VR and XR labs that travel to rural communities.
Field Notes from the Frontier Learning Lab, a Substack documenting what Montana classrooms are actually finding.

MTDA also co-authored the state guidance, which means the people running the help desk are the people who helped write the document your board policy will reference. There is no better starting point in Montana, and there is no invoice.

We recommend the Frontier Learning Lab to every district we work with. It handles the instructional and professional learning side of AI better than any vendor could.

What a board-ready Montana AI policy needs to cover

Whether you adapt MTSBA language, borrow from the STUDENTS FIRST framework, or build from OPI guidance, a defensible policy addresses seven areas:

Student academic integrity. Where AI is permitted, restricted, and prohibited, by grade band. Disclosure requirements. What happens on graded assessments.
Due process for accusations. Detection software is not evidence. Define human review, who conducts it, and how a student appeals.
Staff use boundaries. Lesson planning and feedback support are reasonable. Entering identifiable student data into a public model is not. Say so in writing.
High-stakes decisions stay human. Grades, discipline, special education determinations, and hiring.
Student data privacy. What each approved tool collects, retains, and does with it. This is where FERPA exposure lives.
Vendor and procurement review. Every EdTech renewal now arrives with AI features bolted on. Who approves them, and against what criteria?
Family transparency and opt-out. What parents are told, and what alternative exists for a student who declines.

The half of this that policy language does not solve

Here is what districts discover about ninety days after the board vote: a policy is a promise about system behavior, and systems have to be configured to keep it.

If your policy says staff may not enter identifiable student information into public AI tools, something has to enforce that. If it says only approved AI tools may be used, someone has to know what is actually installed across your Chromebooks and staff laptops. If it says student data stays inside approved systems, your Google Workspace and Microsoft 365 tenant settings have to reflect that, including the AI features Google and Microsoft keep enabling by default.

Most Montana districts do not have full visibility into what software is running on their devices, what extensions students have added, or which of their existing vendors quietly turned on an AI feature at the last renewal. That is not a policy problem. That is an IT problem, and it is the one that makes a policy real or makes it theater.

A realistic fall timeline

September. Pull the OPI K-12 AI Guidance and the MTSBA model language. Email the Frontier Learning Lab AI Help Desk and get a workshop on the calendar. Inventory what AI-enabled tools you already license, including the ones you did not choose to license.

October. Convene a small working group: a principal, two teachers, your IT lead, and a board member. Draft against MTSBA language rather than starting from scratch. Use the STUDENTS FIRST framework as a pressure test for gaps.

November. First reading. Staff training on the draft, because a policy nobody has read is a liability, not a protection.

December. Adoption, plus the technical configuration work that makes it enforceable.

That is one semester, using free state resources for most of it. Compare that to what it looks like when a legislative deadline sets the schedule for you.

Where K12 Montana fits

We are a managed IT provider for Montana school districts and nonprofits, and we handle the technical side of this:

Device and software visibility through K12 Panel, so you know what is actually running across your fleet before you write a policy about it
Google Workspace and Microsoft 365 configuration to align tenant-level AI features and data handling with what your board adopted
Vendor and EdTech AI review, evaluating what a tool does with student data before the renewal, not after
Policy support for the technical sections, translating board language into settings, permissions, and controls that hold up

For instruction, professional learning, and the pedagogy of AI in the classroom, go to the Frontier Learning Lab. For making sure your network, devices, and cloud tenants actually behave the way your policy says they do, that is our work.

Montana districts have a window here that most states no longer have: time to do this deliberately instead of on a deadline. That window closes at the 2027 session.

Need help getting your district's AI policy from guidance to enforceable? Contact K12 Montana for a conversation about where your technology stack stands today.

Frequently asked questions

Does Montana require school districts to have an AI policy? No. Montana has published K-12 AI guidance through OPI, developed with Montana Digital Academy, and MTSBA has model board policy language available. Neither is a mandate. Six states (Idaho, Maryland, Oklahoma, Virginia, Ohio, and Tennessee) now require district-level AI policy adoption.

Is the STUDENTS FIRST Act a law? No. It is a policy framework written by student delegates from all 50 states at America's Youth AI Festival in July 2026 and passed by their simulated Student Senate, 82 to 16. AASA is sharing it with school leaders nationally as a discussion starting point.

Where can a Montana district get free help with AI? Montana Digital Academy's Frontier Learning Lab offers a free AI Help Desk for educators, no-cost workshops and professional learning, and co-designed pilot projects for Montana schools. It is funded by the Montana Legislature and based at the University of Montana.

Do we need a separate AI policy, or can we update our acceptable use policy? Either can work, but an updated AUP alone usually misses staff-use boundaries, vendor procurement review, and due process for AI accusations. Most districts end up with AI language in the AUP plus a standalone board policy covering the rest.

What does an AI policy cost to implement? The policy work itself can be done with free state resources. The cost shows up in the technical enforcement: device visibility, tenant configuration, and vendor review. That varies with district size and how much of your environment is currently managed.