Foundational Policy Ideas for AI in Education

This resource provides informational briefs, policy ideas, and presentation materials for policymakers to craft responsible policies for teaching with and about AI.

AI in Education Guidance and Policy Tracker

Visit the page for maps and links to AI in education guidance from countries across the globe and U.S. states. 

Ethical AI Procurement

• AI Ratings System (Common Sense Media)
• Emerging Technology Adoption Framework (Digital Promise)
• Off Task: EdTech Threats to Student Privacy and Equity in the Age of AI (CDT)
• The Ethical Framework for AI in Education (Institute for Ethical Al in Education)

AI Use Cases in Education

•  100 Practical Applications and Use Cases of Generative AI (Government of the United Arab Emirates)
• State of the Art and Practice in AI in Education (Waynes Holmes and Ilkka Tuomi)​

Academic Integrity

• Combating Academic Dishonesty (University of Chicago)
• Promoting Academic Integrity in Your Course (Cornell University) 
• Strategies for Teaching Well When Students Have Access to Artificial Intelligence (AI) Generation Tools (George Mason University)
• Students’ Use of Generative AI: The Threat of Hallucinations (Center for Democracy and Technology)​

Global Regulations Influencing AI in Education

EU AI Act Memo: This special brief from TeachAI describes the EU AI Act and its implications on AI in education outside of the European Union.

• DPA (UK) - The Data Protection Act governs the use of personal data in the United Kingdom.
• DPDP (India) - The Digital Personal Data Protection Act proposes protections for student data.
• EU AI Act (EU) -  A legal framework on AI that also addresses the risks of AI in education.
• GDPR (EU) - The General Data Protection Regulation provides strict data protection and privacy regulations for individuals in the European Union.
• PIPL (China) - The China Personal Information Protection Law protects student data privacy.

Guidance from Countries

• Australia: Australian Framework for Generative Artificial Intelligence (AI) in Schools 
• Japan: Interim guidelines for the use of generative AI at the primary and secondary education level
• New Zealand: Generative AI
• South Korea: Education policy direction and key tasks in the artificial intelligence era
• United States: Artificial Intelligence and Future of Teaching and Learning: Insights and Recommendations

Citing AI Use 

• APA Style - ChatGPT
• Chicago Style - Generative AI
• MLA Style - Generative AI 

Additional Resources for Crafting AI Guidance and Policies

• AI and Education Policy 101: (CRPE)
• Bringing AI to School: Tips for School Leaders (ISTE)
• EdSAFE AI SAFE Benchmarks (EdSafe AI Alliance)
• From Reactive to Proactive: Putting Districts in the AI Driver's Seat (PACE)
• Guidance for Generative AI in Education and Research (UNESCO)
• K - 12 Generative AI Readiness Checklist (CoSN and the Council of the Great City Schools)
• Opportunities, guidelines and guardrails for effective and equitable use of AI in education (OECD)
• Recommendation on the Ethics of Artificial Intelligence (UNESCO)
• Setting Conditions for Success: Creating Effective Responsible Use Policies for Schools (CoSN and ISTE)
• The Urgent Need to Update District Policies on Student Use of Artificial Intelligence in Education (PACE)
• Tracking Early Adopters and What This Means for 2024-25 (CRPE)

Privacy

• Fair Information Practice Principles (Federal Privacy Council)
• From Data Privacy to Discrimination: Examining the Legal Ramifications of AI in Schools (Public Interest Privacy Center)
• Privacy Resources (United States Dept. of Education, Office of Education Technology)
• State Student Privacy Laws (Student Privacy Compass)
• Understanding Student Monitoring (Student Privacy Compass) 

Guidance from States in the U.S. 

• Alabama: AI Policy Template for Local Education Agencies
• Arizona: AI Guidance for Arizona Schools
• California: Learning With AI, Learning About AI
• Colorado: Colorado Roadmap for AI in K-12 Education; Guidance for Integrating AI into Teaching and Learning 
• Connecticut: Guidance On Artificial Intelligence (AI)
• Delaware: Generative AI in the Classroom Guidance 
• Georgia: Leveraging AI in the K-12 Setting
• Hawaii: AI Guidance for Employees
• Indiana: Artificial Intelligence (AI) Guidance
• Kentucky: AI Guidance Brief
• Louisana: Artificial Intelligence in Louisiana Schools: Guidance for K-12 Schools
• Michigan: Artificial Intelligence Resources
• Minnesota: Guiding Principles for AI in Education 
• Mississippi: Artificial Intelligence: Guidance for K-12 Classrooms
• New Jersey: Artificial Intelligence (AI) 
• North Carolina: North Carolina Generative AI Implementation Recommendations and Considerations for PK-13 Public Schools
• North Dakota: North Dakota K-12 AI Guidance Framework
• Ohio: AI Toolkit
• Oklahoma: Guidance and Considerations for Using Artificial Intelligence in Oklahoma K-12 Schools
• Oregon: Generative Artificial Intelligence (AI) in K-12 Classrooms
• Utah: Artificial Intelligence Framework for Utah P-12 Education: Guidance on the Use of AI in Our Schools
• Virginia: Guidelines for AI Integration through Education
• Washington: Human-Centered AI Guidance for K-12 Public Schools
• West Virginia: Guidance, Considerations, & Intentions for the Use of Artificial Intelligence in West Virginia Schools
• Wisconsin: AI Guidance for Enhancing K-12 and Library Education   ​
• Wyoming: Guidance for AI Policy Development 

AI Literacy and Digital Literacy

• AI and the next digital divide in education (Michael Trucano, Brookings Institute)
• AI Literacy: A Framework to Understand, Evaluate, and Use Emerging Technology (Digital Promise) 
• ISTE Standards: Computational Thinking (ISTE)
• Youth and Digital Citizenship+ (Plus): Understanding Skills for a Digital World (Cortesi, Sandra and Hasse, Alexa and Lombana-Bermudez, Andres and Kim, Sonia and Gasser, Urs)