Tony Thurmond, State Superintendent of Public Instruction
Issued: January 2025 | Version 2.0
⚠️ Official State Guidance
This guidance represents the California Department of Education's recommendations for implementing artificial intelligence in K-12 schools. While not mandated by law, these guidelines align with California Education Code and state privacy regulations including the California Consumer Privacy Act (CCPA) and Student Online Personal Information Protection Act (SOPIPA).
Executive Summary
California leads the nation in preparing students for an AI-driven future while protecting their privacy, safety, and educational equity. With over 6.2 million K-12 students across 10,000+ schools, California's approach to AI in education must be thoughtful, inclusive, and grounded in our values of equity and excellence.
This guidance provides California school districts with:
A framework for responsible AI implementation
Privacy and security requirements under California law
Equity considerations for diverse student populations
Professional development recommendations
Sample policies aligned with state standards
Core Principles for AI in California Schools
1. Equity First
AI implementation must reduce, not exacerbate, educational disparities. Special attention must be paid to:
English learners (1.2 million students in CA)
Students with disabilities
Socioeconomically disadvantaged students
Rural and underserved communities
Requirement: Districts must conduct equity impact assessments before adopting AI tools.
2. Privacy by Design
California's strong privacy laws require enhanced protections for student data:
Compliance with SOPIPA (AB 1584) mandatory
CCPA rights extend to students and parents
No sale or commercial use of student data
Right to deletion must be honored
Requirement: All AI vendors must sign CDE-approved data privacy agreements.
3. Transparency and Accountability
Districts must be transparent about AI use:
Public disclosure of all AI tools in use
Clear communication to parents in multiple languages
Regular audits of AI impact on student outcomes
Grievance procedures for AI-related concerns
4. Human-Centered Learning
AI enhances but does not replace human educators:
Teachers retain authority over grading and evaluation
AI recommendations require human review
Social-emotional learning remains human-led
Critical thinking skills prioritized over AI dependence
California-Specific Requirements
Area
California Requirement
Legal Basis
Compliance Deadline
Data Privacy
Signed agreements for all AI vendors
Ed Code 49073.1
Before use
Parent Notification
Written notice in home language
Ed Code 48985
30 days before
Equity Analysis
Impact assessment required
LCAP requirements
Annual
Teacher Training
Professional development on AI ethics
Ed Code 44277
Within 1 year
Student Rights
Opt-out option must be provided
CCPA/SOPIPA
Immediate
Accessibility
ADA/504 compliance for all AI tools
Federal/State law
Before use
🔍 Special Focus: Equity in AI Implementation
California's Commitment: No student should be disadvantaged by AI implementation.
Required Equity Measures:
Language Access: AI tools must support California's top 5 languages (English, Spanish, Mandarin, Vietnamese, Tagalog)
Digital Divide: Districts must provide devices and connectivity for AI access
Cultural Relevance: AI content must reflect California's diverse populations
Bias Monitoring: Regular audits for algorithmic bias required
Funding Available:
Learning Recovery Block Grant funds may be used for AI tools
Title I funds appropriate for equity-focused AI implementation
E-Rate can support connectivity for AI access
Implementation Timeline for California Schools
Recommended Phased Approach
Phase 1: Q1 2025
Foundation Setting
Form district AI task force
Conduct needs assessment
Review current tool usage
Begin stakeholder engagement
Phase 2: Q2 2025
Policy Development
Draft AI acceptable use policy
Conduct equity impact analysis
Negotiate vendor agreements
Develop parent communication plan
Phase 3: Q3 2025
Pilot Implementation
Launch pilot in selected schools
Begin teacher training programs
Collect baseline data
Establish monitoring systems
Phase 4: Q4 2025
Full Deployment
District-wide implementation
Ongoing professional development
Regular assessment and adjustment
Annual reporting to CDE
Grade-Level Recommendations
Elementary (TK-5)
Focus: Digital citizenship and AI awareness
Exposure: Limited, teacher-mediated AI interaction
Tools: Age-appropriate, COPPA-compliant only
Time: Maximum 30 minutes per week
Parent Involvement: Required consent and regular updates
Middle School (6-8)
Focus: AI literacy and ethical use
Exposure: Guided use with clear boundaries
Tools: Educational AI with safety features
Time: 1-2 hours per week integrated into curriculum
Skills: Source verification, bias recognition
High School (9-12)
Focus: College and career readiness with AI
Exposure: Advanced tools with proper attribution
Tools: Industry-standard AI platforms
Time: As appropriate for coursework
Skills: Prompt engineering, AI ethics, career applications
Professional Development Requirements
California requires comprehensive AI training for educators:
Role
Required Training Hours
Topics
Renewal
Teachers
6 hours initial
AI basics, classroom integration, ethics
Annual
Administrators
8 hours initial
Policy, privacy, equity, evaluation
Annual
IT Staff
12 hours initial
Security, data protection, integration
Bi-annual
Counselors
4 hours initial
AI career paths, college readiness
Annual
Approved AI Tools and Platforms
CDE-Vetted AI Resources
The following platforms have been reviewed for California compliance:
Khan Academy's Khanmigo - Approved for grades 6-12
Code.org AI Curriculum - Approved for all grades
Microsoft Reading Progress - Approved for K-8
Grammarly for Education - Approved for grades 9-12
Learning.com AI Platform - Approved for grades 3-12
Note: District-level vetting still required. This list updated quarterly.
Monitoring and Assessment
California districts must track and report:
Usage Metrics: Student and teacher engagement with AI tools
Outcome Data: Impact on learning objectives and test scores
Equity Indicators: Usage and outcomes by demographic groups
Privacy Incidents: Any breaches or inappropriate data use
Parent Feedback: Satisfaction and concerns
Annual Reporting to CDE
Districts over 5,000 students must submit annual AI implementation reports including:
List of all AI tools in use
Professional development completion rates
Equity impact assessment results
Privacy compliance attestation
Student outcome data
Submission Deadline: June 30 annually via CDE portal
Resources and Support
California AI in Education Resources
CDE AI Toolkit: www.cde.ca.gov/ai-toolkit
Sample Policies: www.cde.ca.gov/ai-policies
Professional Development: California Educators Together (CET)
Legal Guidance: California School Boards Association (CSBA)
Technical Support: K12 High Speed Network
Contact Information
CDE AI in Education Team
Email: ai@cde.ca.gov
Phone: (916) 319-0800
Office Hours: Monday-Friday, 8:00 AM - 5:00 PM PST
Regional Support Centers
Northern California: Sacramento County Office of Education
Bay Area: San Mateo County Office of Education
Central Valley: Fresno County Office of Education
Southern California: Los Angeles County Office of Education