Skip to main content

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 policies are continuously evolving as technology advances and implementation experience grows. Policy documents may be updated frequently, and new states may release guidance regularly. Always verify current policy status directly with state education departments.

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:
Policy Released: June 2024
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
Notable Approach: Alabama developed this template through collaborative stakeholder engagement including the Governor’s office, requiring establishment of AI Governance Committees and explicit human-in-the-loop development requirements.View Alabama AI Policy Template
Policy Released: 2024
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”
Implementation Stages:
  1. Create a Strong Foundation: Policy and infrastructure development
  2. Build Momentum: Pilot programs and professional development
  3. Continuous Improvement: Ongoing evaluation and refinement
View Arizona AI Guidance
Policy Released: 2024
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
View California AI Framework
Policy Released: 2024
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
View Colorado AI Roadmap
Policy Released: 2024
Authority: Delaware Department of Education
  • Substitution: Basic AI tool replacement
  • Augmentation: Enhanced functionality with AI
  • Modification: Significant task redesign
  • Redefinition: Revolutionary learning transformation
Implementation Features:
  • 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
View Delaware AI Framework
Policy Released: January 2025 (Updated June 2025)
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
Unique Elements:
  • 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
View Georgia AI FrameworkView Georgia Ethical Considerations Guide (June 2025)
Policy Released: 2024
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
Notable Guidance:
  • Recommendation against AI detection tools for plagiarism
  • Emphasis on citing AI-generated content
  • Focus on transforming assessments and personalized instruction
View Hawaii AI Guidance
Policy Released: 2024
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
Unique Approach:
  • Integration of AI literacy with computer science concepts
  • Comparison of student and educator AI experiences
  • Emphasis on AI principles and ethical use understanding
View Indiana AI Guidance
Policy Released: 2024
Authority: Kentucky Department of Education
  • AI-Directed: System-controlled learning experiences
  • AI-Supported: Human-guided with AI assistance
  • AI-Empowered: Human-controlled AI utilization
Implementation Features:
  • 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
View Kentucky AI Guidance
Policy Released: Fall 2024
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
Distinctive Features:
  • 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
View Louisiana AI Framework
Policy Released: 2024
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
Minnesota-Specific Features:
  • State statute references and local district examples
  • Building on existing guidance and policy frameworks
  • Comprehensive resource compilation from state and national sources
View Minnesota AI Guidance
Policy Released: 2024
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
Implementation Support:
  • 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
View Mississippi AI Framework
Policy Released: May 2025
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
Unique Elements:
  • 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
View New Mexico AI Guidance
Policy Released: 2024
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
Key Resources:
  • 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
View North Carolina AI Guidance
Policy Released: 2024
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
Ohio-Specific Resources:
  • Trusted resource compilation for Ohio educators
  • Methodical approach to translating principles into actionable policies
  • Stakeholder-specific resource organization
View Ohio AI Toolkit
Policy Released: 2024
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)
Implementation Support:
  • Comprehensive resource lists for school leaders and staff development
  • Curriculum and prompt library integration
  • Oklahoma-specific academic standards alignment
View Oklahoma AI Guidance
Policy Released: 2024
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”
View Oregon AI Guidance
Policy Released: 2024
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
View Utah AI Framework
Policy Released: 2024
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
View Virginia AI Guidelines
Policy Released: 2024
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
Implementation Resources:
  • Washington state-specific policy examples
  • Local school district implementation case studies
  • AI use disclaimer acknowledgment in policy creation process
View Washington AI Framework
Policy Released: 2024
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
View West Virginia AI Framework
Policy Released: 2024
Authority: Wisconsin Department of Public Instruction
  • Human inquiry and oversight
  • AI assistance and augmentation
  • Human reflection and decision-making
Wisconsin-Specific Elements:
  • 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
View Wisconsin AI Framework
Policy Released: 2024
Authority: Wyoming Department of Education
Implementation Approach:
  • Cyclical policy development process
  • “Student AI Usage Continuum for Empowered Learning”
  • Diverse stakeholder AI guidance teams
  • Alignment with Wyoming Digital Learning Plan
View Wyoming AI Guidance
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

Most state policies emphasize maintaining human oversight and decision-making authority, with AI serving as a supportive tool rather than replacement technology.

Graduated Implementation

States typically recommend phased or tiered approaches to AI integration, often with grade-level or risk-based differentiation.

Professional Development

Nearly all policies include requirements or strong recommendations for educator training and AI literacy development.

Data Privacy Emphasis

Consistent focus on FERPA, COPPA, and state-specific privacy law compliance across all policy frameworks.

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.