Draft — pending Matt's review

Board AI policy adoption checklist

A practical, generic checklist for adopting a district AI policy. Adapt it to your board's procedures. Print

1. 1. Review your state's guidance

   Read your state education agency's AI guidance (linked below from our data) and note anything it asks districts to do.

2. 2. Check your school boards association's model policy

   Many state school boards associations publish a model AI policy. Compare it with your current technology, acceptable use and academic integrity policies.

3. 3. Form a working group

   Include administrators, teachers, students, parents, IT/data privacy staff, special education and legal counsel.

4. 4. Gather stakeholder input

   Survey or hold listening sessions with staff, students and families before drafting.

5. 5. Run a privacy and vendor review

   Check AI tools against your state student data privacy law and your district's vendor contracts and data privacy agreements (see each state's "Data privacy & vendors" box).

6. 6. Draft the policy and administrative regulation

   Keep board policy high level; put tool lists and procedures in regulations or staff guidance so they can change faster.

7. 7. Plan staff professional development

   Schedule training on approved tools, privacy, academic integrity and classroom use before the policy takes effect.

8. 8. Plan parent and student communication

   Prepare a plain-language summary, FAQ and notice of approved tools.

9. 9. Legal review

   Have district counsel review the draft.

10. 10. Board first reading

    Present the draft, take public comment and capture requested changes.

11. 11. Board second reading and adoption

    Adopt the revised policy and record the adoption date.

12. 12. Publish and roll out

    Post the policy where families can find it and launch the training and communication plan.

13. 13. Set a review cadence

    Review the policy at least annually, and whenever your state issues new guidance or law.

Your state's official guidance

Links come straight from our state data. We don't restate what each document requires; read the source.

• Alabama: AI Policy Template for Local Education Agencies
• Alaska: Alaska K-12 AI Framework
• Arizona: Generative AI in K-12 Education: Guidance for Arizona Schools (v26.01)
• Arkansas: No ADE statewide AI guidance found
• California: Learning With AI, Learning About AI
• Colorado: Colorado Roadmap for AI in K-12 Education
• Connecticut: AI resources and guidance
• Delaware: Generative AI in the Classroom Guidance
• District of Columbia: Model LEA AI Policy for Staff Use
• Florida: Rule 6A-1.0957 Internet Safety Policy (AI amendment)
• Georgia: Leveraging AI in the K-12 Setting
• Hawaii: AI guidance for employees
• Idaho: Idaho Code Title 33 Ch. 70 + Generative AI in Education Framework
• Illinois: AI Guidance (per Public Act 104-0399)
• Indiana: AI Guidance (Digital Learning)
• Iowa: No statewide K-12 AI guidance found
• Kansas: No statewide K-12 AI guidance found
• Kentucky: AI Guidance Brief
• Louisiana: Artificial Intelligence in Louisiana Schools
• Maine: AI Guidance Toolkit
• Maryland: AI in K-12 Public Schools guidance
• Massachusetts: AI Guidance for K-12
• Michigan: MDE-endorsed AI guidance (Michigan Virtual)
• Minnesota: Artificial Intelligence in Education
• Mississippi: Artificial Intelligence: Guidance for K-12 Classrooms
• Missouri: AI Guidance for Local Education Agencies v1.0
• Montana: Montana AI in K-12 Education Guidelines
• Nebraska: No statewide school AI guidance found (internal staff guidance only)
• Nevada: STELLAR AI guidance
• New Hampshire: No NH DOE-issued AI guidance found
• New Jersey: AI resources (not formal guidance)
• New Mexico: AI Guidance for K-12 Education 1.0
• New York: Statewide AI guidance in development
• North Carolina: Generative AI Implementation Recommendations and Considerations
• North Dakota: North Dakota K-12 AI Guidance Framework
• Ohio: ORC 3301.24 + AI in Education Model Policy
• Oklahoma: Guidance and Considerations for Using AI in Oklahoma K-12 Schools v3
• Oregon: Generative AI in K-12 Classrooms
• Pennsylvania: Implementing AI in Schools
• Rhode Island: AI Guidance for LEAs
• South Carolina: District AI guidance in development
• South Dakota: No statewide K-12 AI guidance found
• Tennessee: Public Chapter 550 (2024)
• Texas: No TEA statewide K-12 AI guidance found
• Utah: AI Framework for Utah P-12 Education
• Vermont: Vermont AI Guidance for Education v1.0
• Virginia: Guidelines for AI Integration Throughout Education
• Washington: Human-Centered AI Guidance for K-12 Public Schools v3
• West Virginia: Guidance, Considerations, and Intentions for the Use of AI in WV Schools v1.2
• Wisconsin: AI Guidance for Enhancing K-12 and Library Education
• Wyoming: Guidance for AI Policy Development

Not legal advice. Consult your district's legal counsel before adopting any policy.