AI and the Future of Teaching and Learning (U.S. Department of Education)
The Office of Educational Technology's report on AI in K-12: keep humans in the loop, align to educational goals, build trust, and the recommendations districts cite…
Library
The ICAA Documentation Library: standards, implementation guidance, model practices, templates, assessments and training. Public documents are free to download; the rest is included with membership.
AI Practices
How districts, hubs and vendors put AI to work responsibly: guidance, frameworks and worked examples.AI4K12: the Five Big Ideas in AI (K-12 AI literacy guidelines)
The AAAI/CSTA initiative's guidelines for teaching AI in K-12, organised around five big ideas, with grade-band progressions a district can use for AI literacy.
CoSN: AI in K-12 (readiness checklist and resources)
The Consortium for School Networking's resources for district technology leaders: the generative AI readiness checklist and maturity tool, procurement questions and briefs.
Designing for Education with Artificial Intelligence: An Essential Guide for Developers (U.S. Department of Education)
The Department's guide for the developers of AI products used in schools: designing for teaching and learning, evidence, equity, privacy and transparency. What ICAA reads a…
Empowering Education Leaders: A Toolkit for Safe, Ethical, and Equitable AI Integration (U.S. Department of Education)
A toolkit for district and school leaders: modules on mitigating risk, building a strategy and maximizing opportunity, with questions to ask vendors and templates for policy.
Future of Privacy Forum: student privacy and AI in education
FPF's education program (formerly Student Privacy Compass): guidance and checklists on student data privacy, including the use of generative AI tools in K-12, for districts and…
ISTE+ASCD: AI in education
ISTE+ASCD's hub for educators and leaders on AI: courses, the AI Explorations resources and guidance on AI literacy aligned to the ISTE Standards.
NIST AI 600-1: Generative AI Profile of the AI RMF
NIST's profile of the AI Risk Management Framework for generative AI: the twelve risks particular to generative models and the actions to manage them, for a…
NIST AI RMF Playbook and resources
NIST's companion resources to the AI RMF: the Playbook of suggested actions per subcategory, profiles and crosswalks, for vendors documenting an AI feature and districts reviewing…
NIST Trustworthy and Responsible AI Resource Center
NIST's resource center for the AI RMF: the glossary, the Playbook online, crosswalks to other frameworks and the latest guidance documents.
OECD AI Principles
The intergovernmental principles for trustworthy AI (inclusive growth, human-centred values, transparency, robustness, accountability) that national guidance, the NIST AI RMF included, is mapped to.
Public
Open: OECD AI Principles
TeachAI: AI Guidance for Schools Toolkit
The toolkit from TeachAI (Code.org, ETS, ISTE, Khan Academy, the World Economic Forum and others): sample guidance, policies and a staff-training outline a district can adopt…
UNESCO: Guidance for generative AI in education and research
UNESCO's guidance on generative AI in education: a human-centred approach, age limits, data protection and the steps for regulating and using generative AI in teaching, learning…
The whole library comes with membership
District, vendor and hub members each see the documents written for them, and Advanced members get the full toolkit.