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Collaborative Policy and Guidance Ecosystems
Artificial intelligence policy in education is not shaped solely by government agencies. Coalitions, research alliances, and nonprofit initiatives are playing a major role in developing frameworks, tools, and professional learning resources that inform how schools approach implementation.
These organizations often act as bridges between research, practice, and policy. Their materials appear in state guidance documents, inform district planning, and support educators directly through training, toolkits, and curriculum.
This section highlights several widely referenced initiatives and focuses not only on who they are, but on the practical resources they provide for educators and leaders seeking to build responsible and informed approaches to AI use.
TeachAI
TeachAI is a cross-sector initiative focused on helping education leaders and policymakers navigate both teaching with AI and teaching about AI. Led by partners including Code.org, ETS, ISTE, and Khan Academy in collaboration with the World Economic Forum, the initiative produces practical guidance that has informed policy conversations at multiple levels of the education system.
Key Resources and Frameworks:
AI Guidance for Schools Toolkit
A roadmap for developing local guidance that addresses risk while supporting innovation. It helps systems ensure compliance with existing privacy and security policies, clarify responsible use expectations, and define academic integrity practices.
Seven Principles for AI in Education
A values-driven foundation emphasizing purposeful use, compliance with existing rules, AI literacy, risk-benefit balance, academic integrity, human decision-making, and ongoing evaluation.
Five Foundational Policy Ideas
System-level recommendations encouraging leadership structures, literacy integration, capacity-building investments, innovation support, and clear responsible-use guidance.Foster Leadership: Establish a dedicated AI task force.
Promote AI Literacy: Integrate AI skills and concepts into the curriculum.
Build Capacity: Provide funding specifically for professional development.
Support Innovation: Promote research and development within the education sector.
Provide Guidance: Equip schools with clear guidance on the responsible use of AI.
Additional Practical Supports
Customizable professional learning slide decks and AI literacy exemplars
Computer science guidance developed with CSTA
Policy tracking tools and implementation frameworks
Legal guidance connecting federal privacy law to AI adoption
Education–industry Learning Series exploring emerging issues and cross-sector collaboration
AI for Education
AI for Education focuses on helping practitioners move from understanding AI to applying it. Their resources are designed for immediate use by educators, school leaders, and families, and many have been referenced within state guidance due to their clarity and practicality.
Key Resources:
Policy and Planning Tools
Professional Learning
Community and Student Supports
Taken collectively, AI for Education’s offerings serve as practical bridges between policy conversations and day-to-day educational practice, emphasizing usability and accessibility over theoretical framing.
EDSAFE AI Alliance
The EDSAFE AI Alliance brings together cross-sector partners to advance safe, accountable, and equitable AI use in education. Their work emphasizes evaluation and governance structures that help institutions assess tools and protect learners as adoption expands.
Key Frameworks:
A structured evaluation model examining AI systems through four dimensions
Provides shared language for risk assessment and procurement decisions.
Blueprint for Action: AI Literacy
A strategic planning resource guiding systemwide AI literacy development through partnerships, coordinated investment, and capacity building.
Additional Practical Supports
Research collaboration and convening.
Cross-sector dialogue among education and industry leaders
Guidance supporting responsible technology evaluation
Closing
No single organization defines the direction of AI in education. Instead, progress is shaped through overlapping contributions from states, coalitions, and practitioners.
Exploring these collaborative resources alongside formal policy guidance provides a more complete picture of the landscape and offers educators multiple entry points for informed and responsible engagement.
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