report UNESCO
Guidance for generative AI in education and research
Global guidance shaping the site’s education-specific AI framing and policy caution.
Published Sep 6, 2023 · Accessed Mar 5, 2026
About
Built to help educators make better AI decisions.
AIForEdu exists to turn a noisy category into something more legible for educators and institutions worldwide, with explicit authorship, evidence labeling, and public source trails.
Editorial owner
Qaisar Roonjha
Founding Editor · Education Technology & Policy
Leads AIForEdu's editorial research on AI tools, policy, and implementation for educators and institutions worldwide.
AI tool evaluationEducation technology strategyPolicy and governanceDigital equity
Editorial owner
AIForEdu Policy Desk
Policy & Governance · K-12 AI Governance & Compliance
Covers AI privacy, academic integrity, family communication, and the governance decisions schools, universities, and education systems must make.
FERPA and COPPA reviewAcademic integrity policySchool AI governanceFamily communication
AIForEdu.ai is an independent AI-in-education library built for educators, institutions, and education systems that want to adopt AI responsibly without the vendor hype.
We publish tool reviews, policy resources, comparisons, and implementation guidance intended to help teachers, school systems, universities, NGOs, and education teams make more defensible AI decisions.
Our mission
Every educator and institution should have access to trustworthy, practical guidance for bringing AI into education. Cost should not be the barrier that keeps people from responsible adoption.
The site is intentionally content-first. The core library is free, searchable, and designed to build trust, traffic, and practical value before any broader monetization decisions are made.
How we handle trust
AIForEdu does not treat every claim as equally reliable. Pages label evidence levels, show last verification dates, link to sources, and separate vendor statements from broader public guidance. Where AIForEdu cannot verify a point, the site should say so plainly.
What we will not claim
AIForEdu should not imply district approval, legal validation, field testing, or market leadership unless those statements can be supported. Where a detail comes from vendor materials and has not been independently corroborated, the site should say that explicitly.
Editorial workflow
How the work is divided today.
Editorial research desk
Maps the AI vendor landscape, reviews product documentation, and translates product claims into language that educators and institutions can actually use.
Policy and governance desk
Focuses on privacy, academic integrity, family communication, and the governance decisions schools, universities, and education systems actually have to make.
Implementation and adoption desk
Evaluates rollout friction, training burden, workflow fit, and the practical questions teams ask before they formalize AI use.
Trust signals
What readers should expect from the library.
Dated reviews with explicit evidence levels
Public methodology and affiliate disclosure
Resources written for educators and institutions, not vendors
A content-first library designed to earn trust before monetization
Is this tool safe enough for student use?
What should we ask before approving AI use in our institution?
How do we brief boards, families, or academic leaders without overselling AI?
What can a small school, university, or nonprofit do first without creating chaos?
Which AI tools work well when budgets, bandwidth, or infrastructure are limited?
Sources
Public references that shape the editorial framework
policy U.S. Department of Education
Protecting Student Privacy
Federal student-privacy reference used throughout policy, compliance, and approval guidance.
Accessed Mar 5, 2026
regulation Federal Trade Commission
Children’s Privacy
Official COPPA reference used for family communication, child-data, and consent discussions.
Accessed Mar 5, 2026
Read the method
Want the review standards in full?
See the public methodology for scoring pillars, evidence levels, affiliate policy, and update standards.