Introduction
This resource provides a comprehensive directory of state-level AI guidance and policies for K-12 education. As of July 2025, 26 states plus Puerto Rico have developed official guidance or policy frameworks addressing artificial intelligence implementation in educational settings. Each state’s approach reflects unique local contexts, regulatory environments, and educational priorities.State AI Policy Directory
The following directory includes all states that have released official AI guidance for K-12 education, organized alphabetically with direct links to policy documents and key highlights:Alabama - AI Policy Template for LEAs
Alabama - AI Policy Template for LEAs
Authority: Alabama State Department of Education (ALSDE)
- Eight foundational pillars framework
- Strong emphasis on human oversight requirements
- Detailed data protection measures with vendor contract language
- AI Governance Committees mandate
- NIST-based risk management framework
Arizona - Comprehensive GenAI Overview
Arizona - Comprehensive GenAI Overview
Authority: Arizona Institute for Education and the Economy
- Human agency and oversight imperative emphasis
- Five ethical considerations framework
- Three-stage implementation model
- Integration of AI for Education’s “Top 6 Questions for GenAI EdTech Providers”
- Create a Strong Foundation: Policy and infrastructure development
- Build Momentum: Pilot programs and professional development
- Continuous Improvement: Ongoing evaluation and refinement
California - Comprehensive Implementation Guide
California - Comprehensive Implementation Guide
Authority: California Department of Education
- Integration with California computer science standards
- ”5 Big Ideas of AI” framework for K-12 education
- Guidance on developing AI in schools (not just using AI tools)
- Emphasis on human relationships in education
Colorado - Comprehensive Roadmap
Colorado - Comprehensive Roadmap
Authority: Colorado Department of Education
- “If and How Checklist” for AI decision-making
- ”AI Resource Evaluation Tool” for tool assessment
- Student voice integration throughout development
- Colorado-specific local control structure alignment
Delaware - Implementation Strategy Guide
Delaware - Implementation Strategy Guide
Authority: Delaware Department of Education
- Substitution: Basic AI tool replacement
- Augmentation: Enhanced functionality with AI
- Modification: Significant task redesign
- Redefinition: Revolutionary learning transformation
- Version history tracking for continuous policy updates
- Short-term and long-term action planning
- Delaware-specific policy and initiative alignment
- Continuous review and adaptation emphasis
Georgia - Comprehensive Implementation Framework
Georgia - Comprehensive Implementation Framework
Authority: Georgia Department of Education
- Red: AI not allowed (academic dishonesty prevention)
- Yellow: AI allowed for content creation assistance
- Green: AI encouraged with proper citation
- Clear distinction between high-stakes and non-high stakes AI uses
- Comprehensive Evaluation Process Rubric for AI tools
- Integration with TrustEd Apps platform for vetting
- District self-check sections throughout document
Hawaii - Employee Guidance Document
Hawaii - Employee Guidance Document
Authority: Hawaii State Department of Education
- Accountability and responsibility in AI use
- Fairness and equity considerations
- Human oversight requirements
- Assessment and effectiveness evaluation
- Professional development integration
- Data protection and privacy safeguards
- Recommendation against AI detection tools for plagiarism
- Emphasis on citing AI-generated content
- Focus on transforming assessments and personalized instruction
Indiana - AI Literacy Framework
Indiana - AI Literacy Framework
Authority: Indiana Department of Education
- AI Literacy: Essential for empowered learners and citizens
- Instruction and Learning: Personalization and efficiency enhancement
- Impact Assessment: Understanding AI’s educational implications
- Security: FERPA/COPPA compliance and PII protection
- Integration of AI literacy with computer science concepts
- Comparison of student and educator AI experiences
- Emphasis on AI principles and ethical use understanding
Kentucky - Implementation Guidance
Kentucky - Implementation Guidance
Authority: Kentucky Department of Education
- AI-Directed: System-controlled learning experiences
- AI-Supported: Human-guided with AI assistance
- AI-Empowered: Human-controlled AI utilization
- Integration with Kentucky Educational Technology Systems (KETS) Master Plan
- “Policy-in-Action Spotlights” highlighting specific role implementations
- Connection to digital citizenship and computer science education initiatives
Louisiana - Comprehensive Integration Framework
Louisiana - Comprehensive Integration Framework
Authority: Louisiana Department of Education (LDOE)
- AI-Empowered: Full integration with learning transformation
- AI-Enhanced: Significant learning improvement
- AI-Assisted: Basic support for existing practices
- AI-Prohibited: Restricted or inappropriate uses
- Four-component cyclical approach (Purpose & Research, Policy & Guidance, Engage Stakeholders, Evaluation & Monitoring)
- SAMR model alignment for technology integration
- Louisiana-specific legal framework references (R.S. 17:3914)
- Comprehensive technical implementation guidance
Minnesota - Implementation Guidance
Minnesota - Implementation Guidance
Authority: Minnesota Department of Education
- Responsible AI use with human-centered decision making
- Advancing equity and addressing bias concerns
- Innovation encouragement with knowledge sharing
- AI literacy prioritization for all staff and students
- State statute references and local district examples
- Building on existing guidance and policy frameworks
- Comprehensive resource compilation from state and national sources
Mississippi - Digital Learning Integration Guide
Mississippi - Digital Learning Integration Guide
Authority: Mississippi Department of Education
- Digital Citizenship: Responsible technology use
- Standards-Aligned Content: Curriculum integration
- Active Learning: Engagement strategies
- Formative Assessment: Feedback mechanisms
- Accessibility: Universal design principles
- Mississippi-specific academic standards alignment
- Detailed stakeholder strategies for each learning component
- AI training needs assessment for all education roles
- Curated AI tool and resource compilation
New Mexico - Comprehensive K-12 Guidance v1.0
New Mexico - Comprehensive K-12 Guidance v1.0
Authority: New Mexico Public Education Department (NMPED)
- Monitor data privacy and security
- Assess for accuracy and reliability
- Zero-in on bias and fairness issues
- Evaluate educational value and effectiveness
- Human-centric four-step cycle: Inquiry, Input, Interpretation, Insight
- Five-level AI Assessment Scale for coursework
- Integration with NM Digital Equity in Education Act (2023)
- Partnership opportunities with New Mexico AI Consortium
- Addressing digital divides: access, use, and design
North Carolina - Detailed Implementation Roadmap
North Carolina - Detailed Implementation Roadmap
Authority: North Carolina Department of Public Instruction
- Leadership and vision development
- Human capacity building
- Curriculum and instruction integration
- Data privacy and cybersecurity
- Technology infrastructure requirements
- AI implementation roadmap based on AI for Education’s work
- CRAFT framework for effective AI prompting
- AI for Education’s EVERY framework for responsible use
- Comprehensive free resource compilation
Ohio - AI Toolkit for Education
Ohio - AI Toolkit for Education
Authority: Ohio Department of Education
- Step-by-step policy development methodology
- Analysis of 21 AI guideline sets
- Resources tailored for policymakers, teachers, and parents
- Summary coverage of policy development steps
- Trusted resource compilation for Ohio educators
- Methodical approach to translating principles into actionable policies
- Stakeholder-specific resource organization
Oklahoma - Comprehensive Education Framework
Oklahoma - Comprehensive Education Framework
Authority: Oklahoma State Department of Education
- Detailed management system for student AI use in assignments
- Three essential classroom elements: transparency, rigor, curiosity
- Risk assessment framework (low, medium, high risk categories)
- Comprehensive resource lists for school leaders and staff development
- Curriculum and prompt library integration
- Oklahoma-specific academic standards alignment
Oregon - Generative AI Overview
Oregon - Generative AI Overview
Authority: Oregon Department of Education
- Detailed strategies to address AI bias and inaccuracy
- Support for students with disabilities and multilingual learners
- Oregon Student Information Protection Act compliance
- Integration with “Key Components of Digital Learning”
Utah - Responsible Use Framework
Utah - Responsible Use Framework
Authority: Utah State Board of Education
- Maintaining student and teacher agency
- AI literacy education commitment
- Clear prohibited uses guidelines
- Regular review and update framework
- Utah-specific state code alignment
Virginia - Integration Guidelines
Virginia - Integration Guidelines
Authority: Virginia Department of Education
- AI literacy development across all grade levels
- Ethical considerations and responsible implementation
- Professional development and educator support
- Balancing benefits with privacy and equity safeguards
Washington - Human-Centered AI Framework
Washington - Human-Centered AI Framework
Authority: Washington Office of Superintendent of Public Instruction
- 5-step scaffolding scale for student AI use
- Sample classroom protocols and student AI code of conduct
- Professional ethics framework for educators
- Comprehensive equity considerations
- Washington state-specific policy examples
- Local school district implementation case studies
- AI use disclaimer acknowledgment in policy creation process
West Virginia - Human-Centered Framework
West Virginia - Human-Centered Framework
Authority: West Virginia Department of Education
- Human-centered AI integration philosophy
- Computational thinking framework for AI literacy
- Canvas self-enrolling resource directory
- Version history tracking for policy evolution
Wisconsin - K-12 and Library Integration Framework
Wisconsin - K-12 and Library Integration Framework
Authority: Wisconsin Department of Public Instruction
- Human inquiry and oversight
- AI assistance and augmentation
- Human reflection and decision-making
- Joint K-12 education and public library guidance
- Five training pillars for K-12 educators
- Grade-span-specific AI literacy recommendations
- SLATE conferences and CESA workshop integration
Wyoming - Policy Development Framework
Wyoming - Policy Development Framework
Authority: Wyoming Department of EducationImplementation Approach:
- Cyclical policy development process
- “Student AI Usage Continuum for Empowered Learning”
- Diverse stakeholder AI guidance teams
- Alignment with Wyoming Digital Learning Plan
Policy Development Trends
Based on analysis of state-level AI policies, several key trends emerge in how states are approaching AI integration in K-12 education:Common Framework Elements
Human-Centered Approach
Graduated Implementation
Professional Development
Data Privacy Emphasis
Policy Evolution and Updates
AI policies in education are characterized by rapid evolution as technology advances and implementation experience grows. We will update this page with any additional states that enact state wide policies or update their existing policies.State policy information current as of September 2025. Some states may have updated or released new guidance since this compilation.