We help schools and districts put AI policy on paper, then make sure the people living under that policy are safe. Audits for the compliance record. Certification for the person who runs it day to day.
Compliant Isn't Enough. Safe Is the Standard.
Most AI policies answer the legal question. Fewer ask what the technology does to the students and staff who have to use it.
Districts usually start with the audit and certify a coordinator once they know what the policy has to hold.
A full review of how AI is written into your policy and how it actually shows up in classrooms and back offices.
A self-paced course for the person who owns AI decisions at your institution, from tool review to handling concerns when something goes wrong.
A short call and a document request. We learn your structure and where AI already sits.
Policy review plus interviews across roles, so findings reflect practice and not just paper.
A written report with prioritized gaps, recommended language and a remediation plan.
We certify the person who will carry the policy forward and keep it current.
What each state's 2026 AI law requires of districts, and where a legal checklist stops short.
Self-paced courses hosted on Thinkific. Start any time, work through the modules at your own pace.
The certification course paired with a one-on-one review of your district's own AI policy.
Built for the designated AI coordinator role the A.I. Ready Schools Act requires by name.
Flat engagement fees, scoped by institution size. Every engagement includes the written report and a debrief with leadership.
Document review only — no interviews, no human-impact report.
One school or campus, up to 40 staff interviewed.
A full annual engagement, scoped to district size.
Self-paced asynchronous course, start any time.
For districts who want the expertise without the hire.
District pricing depends on enrollment and governing structure, so we quote it after a short discovery call rather than publishing a flat number.
Ethical AI Education Group works with K–12 and higher-ed institutions on the human side of AI adoption: what the policy permits, what it prevents, and what it does to the people inside it.
Our practice draws on the Algorithmic Trauma framework — the psychological effects of automated decisions on students and staff — alongside standard privacy and procurement review.
PhD in General Psychology (Educational Technology emphasis), Grand Canyon University. Originator of the Algorithmic Trauma framework — a behavioral-science model for measuring psychological harm from opaque, biased, or manipulative AI systems, currently under review for ICML 2026 and New Directions in Evaluation.
8+ years leading K–12 AI ethics professional development; current Curriculum Specialist overseeing 30+ teachers at iQ Connect; former adjunct professor at University of Phoenix and Arizona State University.
A written report: where your current policy, procurement and classroom practice stand against state and federal requirements, plus a prioritized list of gaps with recommended language you can adopt.
Usually yes. The coordinator role is about governance and human impact — reviewing tools, handling concerns from students and staff, and keeping the policy current — not about running infrastructure.
It describes the psychological effects automated decisions have on the people subject to them: being flagged, scored or misread by a system with no clear way to appeal. We use it to test whether a policy protects people, not just the institution.
An audit runs four to six weeks depending on district size. Certification is a self-paced asynchronous course you can start any time.
Yes. The audit adapts to your governing structure — board, system office or single campus.
Tell us where your institution is with AI policy. We reply within two business days with next steps and pricing.
Or write to hello@ethicalaieducationgroup.com
