K-12 School AI Governance
Checklist

Ensure AI systems in K-12 education are openly disclosed, explainable, and understandable to students, parents, educators, and regulators. Six-Pillar Framework · 34 Governance Questions.

Ensure clear responsibility, oversight, and remediation for AI systems used in K-12 education. Seven-Pillar Framework · 50 Governance Questions.

Protect student data, enforce encryption and access controls, and govern AI vendor privacy obligations across the full K-12 AI lifecycle. Seven-Domain Framework · 42 Governance Questions.

Ensure AI systems in K-12 education protect and promote the mental, emotional, social, and developmental wellbeing of every student. Seven-Pillar Framework · 50 Governance Questions.

Ensure AI systems in K-12 education genuinely amplify teacher professionalism and student agency through HITL, H-AI-H workflows, TPACK-aligned PD, and equitable access. Five-Domain Framework · 36 Governance Questions.

Ensure AI systems used in K-12 education treat all students equitably regardless of race, gender, disability, or socioeconomic background. Five-Domain Framework · 41 Governance Questions.

Govern algorithmic bias testing, performance parity monitoring, and data sovereignty obligations across all AI systems used in K-12 education. Five-Domain Framework · 36 Governance Questions.

Ensure every AI tool acquisition, deployment, monitoring, staff training, stakeholder communication, and incident response follows a documented, auditable, and rights-respecting governance process. Six-Domain Framework · 46 Governance Questions.

Verify that all required AI governance evidence files — charters, DPIAs, audit logs, contracts, training records, incident reports, and bias assessments — are on file, current, and retrievable within 72 hours. Eight-Domain Framework · 88 Evidence Items.