What this is
Board-adopted formal governance that establishes the authority, boundaries, and accountability for all AI use across the district. Covers: scope (who and what is governed); definitions of AI in this context; categorical permissions and prohibitions; the principle of role differentiation for students, staff, and administrators; PII and data-handling boundaries; vendor DPA requirement; attribution expectation; academic integrity definition; consequences and due process; required safety protocols; review cadence; and authority for administrators to issue Guidelines under the Policy. Policy sets the floor; it does not attempt to anticipate every day-to-day decision.
Why it matters
District-level AI policy gives teachers, students, and families consistent ground to stand on. It also gives the district legal standing for vendor agreements, discipline decisions, and FERPA responses. Without it, AI use varies classroom-to-classroom even when teachers are doing their best in real time.
Connects to
The Framework: Condition #8 (Strategic Tool Selection & Data Governance). Links to 1.4 (AI Use Guidelines) as the operational complement, to 1.5 (Data Governance & Privacy) for DPA and PII requirements, and to 2.4 (Academic Integrity in the AI Era) for integrity definitions.
Maturity levels
Go deeper with
- TeachAI, AI Guidance for Schools Toolkit (teachai.org/toolkit) — widely-adopted resource with policy templates
- Common Sense Education AI Toolkit for School Districts — implementation templates and stakeholder materials
- CoSN/CGCS K-12 Gen AI Readiness Checklist — situates policy within broader readiness context
- NIST AI Risk Management Framework (AI RMF) — voluntary federal framework for managing AI risks; useful crosswalk for district-level governance decisions