Practical educator reference

Ethical AI guidelines for teachers.

A concise decision guide for using AI without surrendering privacy, authorship, equity, or the human relationships at the center of learning.

01

Start with the learning purpose

Name what learners should understand or be able to do before choosing a tool. Do not use AI simply because it is available.

02

Protect student information

Use school-approved systems and the minimum data needed. Never place names, records, disability information, behavior, health, family, or other protected details into an unapproved AI tool.

03

Match use to age and readiness

Younger learners need closer adult guidance, simpler boundaries, and non-AI options. Check provider age terms before asking students to use a service.

04

Preserve meaningful thinking

Decide which analysis, struggle, practice, creativity, and communication must remain the learner's own. AI should support the goal, not quietly remove it.

05

Make permission explicit

State whether AI is prohibited, supervised, or allowed for each task. Explain permitted uses such as brainstorming, feedback, translation, coding, or editing.

06

Require verification

Treat confident output as a claim, not proof. Check facts, citations, quotations, calculations, images, and code against reliable original sources.

07

Teach disclosure and authorship

Learners should identify meaningful AI assistance and preserve prompts or process evidence when required. They remain responsible for everything submitted in their name.

08

Keep consequential decisions human

A qualified person must make and explain decisions involving grades, discipline, admissions, accommodations, support services, employment, safety, or another person's opportunities.

09

Plan for fairness and access

Consider who benefits, who may be misrepresented or excluded, whether outputs reproduce bias, and whether every learner has an equitable non-AI route.

10

Review the real result

Monitor whether the use improved learning, privacy, participation, and judgment. Stop or redesign a use when its harms, workload, or loss of learning outweigh its benefit.

Written and reviewed byBrannon Fissette, Ed.D., MBA

Independent-school educator and technology leader with experience in teaching, faculty development, school operations, responsible AI, and applied educational research.

Last reviewedSeptember 4, 2026

Guidance is checked against primary sources and revised as technology, research, and institutional expectations change.

Research standards and source library →

Primary guidance behind this resource

This educator reference is informed by human-centered education guidance, risk-management frameworks, and U.S. student-privacy resources. It is educational guidance, not legal advice.

UNESCO: Guidance for Generative AI in Education and Research ↗NIST AI Risk Management Framework ↗U.S. Department of Education: Education Leaders AI Toolkit ↗U.S. Department of Education: Privacy and Education Technology ↗