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HonorlyAI K-12 AI Governance Toolkit

Free, editable resources for K-12 AI governance, classroom policy, student privacy, vendor evaluation, academic integrity, AI pilots, family communication, and responsible implementation.

HonorlyAI is a teacher-controlled, district-governed K-12 classroom AI platform. This public toolkit gives school leaders, technology teams, educators, families, and students practical starting points for evaluating and governing artificial intelligence in schools.

Direct answer: This repository helps a school district move from vague AI principles to reviewable rules, checklists, pilot plans, family notices, classroom expectations, and evidence-based decisions. Every resource is editable and designed to be adapted through local legal, privacy, curriculum, technology, accessibility, and community review.

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Core governance templates

Resource Best for Canonical HonorlyAI guide
District AI vendor evaluation checklist Procurement, IT, privacy, curriculum, and leadership teams How to evaluate AI vendors for schools
Student AI acceptable-use policy District and schoolwide student expectations Student AI acceptable-use policy guide
Classroom AI use levels Assignment-level teacher directions AI use levels for schools
Parent and family AI notice Plain-language family communication School and parent privacy notice
School district AI pilot plan Focused, evidence-producing pilots School district AI pilot checklist
School AI privacy review checklist Student data and vendor review School AI privacy checklist
Teacher classroom AI guidelines Day-to-day classroom implementation AI policy for teachers
AI academic integrity policy Disclosure, authorship, and assessment rules AI academic integrity policy
AI incident response plan Privacy, safety, access, and misuse events HonorlyAI district resources
AI data lifecycle worksheet Mapping collection, access, retention, and deletion FERPA and AI for schools

New implementation tools

Resource Best for Read the reasoning
District AI procurement question bank Written vendor responses, evidence requests, and contract review School AI procurement questions
School AI pilot measurement scorecard Learning, workload, safety, privacy, access, cost, and trust evidence 12 school AI pilot metrics
Assignment AI-use statement builder Copy-ready assignment directions and student disclosure Assignment-level AI directions
AI detector due-process checklist Fair review of suspected AI-assisted misconduct Why AI detectors are the wrong foundation
Teacher visibility and AI tutor review Tutoring quality, teacher oversight, privacy, and accessibility How to evaluate an AI tutor
Family AI launch communication checklist One-page notices, detailed FAQs, and question routes How districts should explain classroom AI
New Jersey AI policy readiness checklist Dated state-policy tracking, board ownership, public process, and annual review New Jersey school AI policy in 2026
Adaptive learning and instructional evidence reading map Understanding the Core, Adaptive, and Adaptive Insights architecture Honorly Adaptive and Adaptive Insights

Browse the full template index, field-note reading map, or implementation guide.

Canonical K-12 AI field notes

These articles explain the implementation choices behind the editable resources. HonorlyAI.com is the canonical publication source; this repository is the reusable toolkit and citation layer.

District governance and procurement

Read the governance and procurement topic hub.

Academic integrity and classroom rules

Read the academic integrity and classroom rules topic hub.

Pilots, tutoring, and family communication

Read the pilots, tutoring, and family communication topic hub.

Adaptive learning and instructional intelligence

Read the Adaptive learning and instructional evidence topic hub.

Foundational perspective

What good K-12 AI governance should answer

A useful school AI policy should make the following questions boringly clear:

  1. Purpose: What educational problem is the tool meant to address?
  2. Authority: Who approves tools, settings, use cases, and changes?
  3. Classroom boundaries: What kinds of AI help are allowed for each assignment?
  4. Human oversight: When must a teacher, administrator, counselor, or technology lead intervene?
  5. Student data: What is collected, why, who can access it, how long it is kept, and how it is deleted?
  6. Academic integrity: What must students disclose, preserve, and explain?
  7. Equity and accessibility: Who may be excluded or harmed by the workflow, and what alternatives exist?
  8. Evidence: What would justify expanding, changing, or stopping the implementation?
  9. Incident response: What happens when the system behaves unexpectedly or a policy is violated?
  10. Communication: What do teachers, students, and families need to know before use begins?

The HonorlyAI approach

HonorlyAI organizes classroom AI around three principles:

  • Teacher-controlled: educators set learning context, define acceptable assistance, review relevant activity, and intervene when human judgment matters.
  • District-governed: school systems manage approved use, identity, privacy review, access, rollout, and accountability.
  • Learning-first: AI support should favor explanations, questions, examples, practice, and feedback rather than silently replacing student thinking.

About HonorlyAI

HonorlyAI LLC builds a K-12 classroom AI platform that gives students guided academic support while giving teachers and districts visibility, controls, and a practical path to responsible adoption.

Public legal and trust materials

How to use these materials

  1. Copy the relevant Markdown file into your district's working documents.
  2. Replace every bracketed placeholder, including [DISTRICT NAME] and [ROLE].
  3. Review the draft with district counsel, privacy leadership, technology, curriculum, special services, accessibility staff, educators, families, and students as appropriate.
  4. Publish the final owner, approval date, review date, version, and change history.
  5. Link classroom directions to the adopted district policy instead of relying on unwritten expectations.
  6. Revisit the policy after pilots, incidents, major product changes, or legal and regulatory updates.

These materials are general educational resources, not legal advice, a compliance certification, or a substitute for district-specific review.

License and attribution

Except where otherwise noted, the original materials in this repository are licensed under the Creative Commons Attribution 4.0 International License.

Suggested attribution:

Adapted from the HonorlyAI K-12 AI Governance Toolkit, https://github.com/trevor050/honorlyai-resources. Licensed under CC BY 4.0. Changes were made.

The license permits sharing and adaptation, including commercial use, when appropriate credit is provided, the license is linked, and changes are indicated. Attribution does not imply HonorlyAI endorsement.

Contributing

Corrections, implementation notes, accessibility improvements, translations, and new resources are welcome. Read CONTRIBUTING.md, the governance policy, and the code of conduct before opening a pull request.

For potential security or privacy vulnerabilities involving HonorlyAI's product, do not open a public issue. Follow SECURITY.md.

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Free, editable resources for K-12 AI governance, classroom policy, student privacy, vendor evaluation, and responsible implementation from HonorlyAI.

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