About CASAIC
A practitioner-led network helping California schools adopt AI safely, equitably, and well.
The California Artificial Intelligence Consortium (CASAIC) is a vendor-neutral network for the people doing this work on the ground: superintendents, county office leaders, curriculum directors, technology administrators, and teachers across California's 58 counties and 1,000-plus local educational agencies.
Generative AI is changing instructional design, district workflow, and student data governance faster than any single district can track. Meanwhile, schools must navigate real statutory obligations — the California Consumer Privacy Act, Education Code § 49073.1, and the Student Online Personal Information Protection Act (SOPIPA) — alongside new state mandates for AI literacy and guidance. CASAIC exists to close that gap: connecting California Department of Education policy with field-tested county office frameworks, so no district has to figure this out alone.
The California Policy Landscape
- SEPT 2023Executive Order N-12-23 directs state agencies to build risk-management guidelines for generative AI, drawing on the NIST AI Risk Management Framework.
- 2023The California Department of Education publishes its foundational guidance, Learning With AI, Learning About AI — the "learning with / learning about" frame most California districts now build on.
- 2024County offices move first: the Los Angeles County Office of Education convenes its AI task force and publishes TK-12 generative AI guidelines; Orange County launches countywide AI integration work.
- SEPT 2024California enacts AB 2876, directing AI literacy into state curriculum frameworks, and SB 1288, creating a statewide working group to develop AI guidance for schools.
- 2025–26Regional implementation accelerates — change-management blueprints, vetting standards, and board policy adoption across county offices. CASAIC launches at joincasaic.com to connect that work statewide.
How CASAIC Helps
Governance & Board Policy
Model board policies and administrative regulations aligned with CDE guidance and California statute, so boards can act on a vetted starting point instead of a blank page.
Privacy & Vendor Vetting
A structured procurement path for AI tools — centralized district intake, California Student Privacy Alliance data agreements, security review, and a clear Approved / Pilot-Only / Prohibited classification — built around Ed Code § 49073.1 and SOPIPA.
Classroom Practice
Grade-banded AI literacy aligned to AB 2876, plus a simple three-tier attribution model (Human Only · AI Assisted · AI Generated) that makes expectations legible to students, teachers, and families.
AI Literacy, TK Through 12
CASAIC's scope and sequence follows one arc across the grade bands — from noticing that machines follow human-written rules to auditing the systems that shape society:
- TK–GR 2Notice & Name — telling human thinking apart from machine rules; spotting automation in daily life.
- GR 3–5Interact & Question — understanding pattern matching and training data; finding where systems get it wrong.
- GR 6–8Experiment & Detect Bias — auditing algorithmic bias, hallucinations, and privacy risks firsthand.
- GR 9–10Create & Protect — structured prompting, verification against real sources, and transparent attribution.
- GR 11–12Design & Influence — system design and the economic, workforce, and civil rights implications of AI.
On Academic Integrity
One position worth stating plainly: automated AI detectors produce too many false positives — disproportionately flagging English learners and students with accommodations — to carry disciplinary weight. CASAIC's guidance is that a detection score must never be the sole basis for an academic integrity decision. Educator judgment, document version history, and student conversations come first.