For Administrators & School Leaders
AI policy is a values statement. So is the absence of one.
A guided path: read the framework, run a scenario with your team, ground the conversation in evidence, then connect it to operational leadership.
The materials below are sequenced for the work of writing or defending a policy. Step 1 is the ethical framework. Step 2 is the experiment you can run in a leadership meeting. Step 3 is the evidence base. Step 4 is the operating system around it all.
Step 1 — Read the AI Ethics framework
The is/ought problem, UNESCO frameworks, the EU AI Act, NYC's traffic-light policy, and an actionable funnel from value to practice. Read this before drafting any policy.
Open the frameworkStep 2 — Run a flagship at your next leadership meeting
The four educator flagships are multi-stage scenarios designed for staff PD and leadership retreats. Each ends with a discussion guide. Use one to surface where your team actually disagrees before you draft a policy.
Open For EducatorsStep 3 — Ground the conversation in evidence
AI in the Classroom is a research tour: what the data actually says about AI tutors, personalization, and learning outcomes. The Paradox is the harder sibling piece — assume AI has matched human teachers, then ask what school is for.
Read the evidenceStep 4 — Translate values into action
From Ambiguity to Action walks the funnel from "we value transparency" to "here's the policy." Utilitarianism, deontology, virtue ethics — translated into the decisions you actually have to make.
Open the playbookStep 5 — Operational leadership
Quality Leadership & Instruction, High-Performing Schools, and the RTI framework — the broader operating system you're running. AI is one input among many. These pages cover the rest.
Open the leadership libraryContinue Exploring
Resources for teachers
Practitioner-facing materials
Philosophy in K–12
Curriculum case + research
Moral Psychology
The research spine
Reading List
Books, papers, policy frameworks