--- title: "California AI Law Tracker — 2026 | EFROS" description: "California AI laws, pending bills, sector overlays, and compliance checklist. Citation-ready research from EFROS, updated quarterly. Edition 2026-Q2." canonical: https://efros.com/research/state-ai-law-tracker/california/ --- - [Home](https://efros.com/) - /[Research](https://efros.com/research/) - /[State AI Law Tracker](https://efros.com/research/state-ai-law-tracker/) - /California Primary Research · State Profile · CA # California AI Law Tracker — 2026 California has the most fragmented and prolific AI regulatory landscape of any US state. Rather than a single comprehensive Act, California layers multiple AI laws on top of an already aggressive consumer privacy regime (CCPA/CPRA) and adds sector-specific overlays for chatbots, training data, automated decisionmaking, and frontier model safety. The 2026 portfolio includes AB 2013 (AI training data transparency, effective January 2026), SB 1001 (the 2018 'B.O.T. Act' bot disclosure rule), the CCPA/CPRA Automated Decisionmaking Technology regulations finalized in 2024, and CA Bar Practical Guidance for Use of Generative AI that bound lawyer AI use beginning November 2023. California's regulatory posture in 2026 emphasizes transparency and process rather than prohibition. AB 2013 requires generative AI developers to publish detailed dataset disclosures on their public-facing websites by January 1, 2026 — covering whether training data includes personal information, intellectual property, dataset time ranges, and known limitations. Enforcement is by the California Attorney General with civil penalties up to $5,000 per violation. The CPPA's ADMT regulations layer on top, giving California consumers rights to access, opt out of, and request human review of automated decisions in employment, housing, insurance, and similar contexts. Organizations that already operate against the CCPA framework inherit much of the operational infrastructure needed for ADMT compliance, but the AI-specific notice and explanation obligations are genuinely new work. By [Stefan Efros](https://www.linkedin.com/in/stefanefros-cyberdefense/), CEO & Founder, EFROS Updated · July 25, 2026 ## Enacted California AI laws ### California AI Training Data Transparency Act (AB 2013) in force **Citation** Cal. Bus. & Prof. Code § 22757 **Effective date** 2026-01-01 Key provisions Public website disclosure of training dataset composition (personal information, IP, aggregated data); disclose dataset time range, known limitations, and any modifications; up to $5,000 per violation; no private right of action. ### California AI Chatbot Disclosure Act (SB 1001 — B.O.T. Act) in force **Citation** Cal. Bus. & Prof. Code § 17940-17943 **Effective date** 2019-07-01 Key provisions Any bot communicating with Californians for commercial sale or to influence elections must disclose it is a bot — clear, conspicuous, reasonably designed to inform. ### CCPA/CPRA Automated Decisionmaking Technology Regulations in force **Citation** Cal. Code Regs. tit. 11 § 7000 et seq. **Effective date** 2024-03-29 Key provisions Pre-use ADMT notice; right to access information about ADMT use; right to opt out of automated decisionmaking; right to request human review for significant decisions (employment, housing, financial services, healthcare). ## Pending California AI legislation ### SB 1047 successor frontier model legislation **Status** Reintroduction expected in 2026 session **Expected enactment** Active debate; no current enactment timeline After Governor Newsom vetoed SB 1047 in September 2024, advocates have signaled reintroduction with narrower scope. The vetoed version would have imposed safety testing, kill-switch, and incident-reporting requirements on frontier AI developers training models above a defined compute threshold. Watch the 2026 session for narrower follow-on legislation. ### AB 2930 (algorithmic discrimination) **Status** Held in committee 2024; possible 2026 reintroduction **Expected enactment** Uncertain Would have created an explicit cause of action for algorithmic discrimination in consequential decisions. Held in 2024 over concerns about overlap with existing FEHA and ADA frameworks; may return. ## Sector overlays in California Sector-specific frameworks layer on top of state AI laws and frequently impose stricter or earlier-binding obligations. These are the sectors most exposed in California. Legal California Practical Guidance for the Use of Generative AI in the Practice of Law (November 2023) bound CA lawyers to specific AI-use disclosures, confidentiality controls, and competence obligations. Healthcare California AB 3030 (effective 2025) requires healthcare providers to disclose generative AI use in patient clinical communications and provide a means to contact a human provider. Financial services California Department of Financial Protection and Innovation oversight under the California Consumer Financial Protection Law overlays on top of ADMT regulations for credit and lending decisions. Employment California Civil Rights Council finalized regulations in 2025 prohibiting AI-driven employment discrimination; layers on top of ADMT. ## Compliance checklist for California Practical operational checklist for organizations subject to California AI laws. Items are ordered by typical sequence of implementation, not by importance — most steps depend on the inventory work in the first item. - 1 ### Publish AB 2013 training dataset disclosure on developer website Must be live by January 1, 2026 for any generative AI system made available to Californians. - 2 ### Audit consumer-facing chatbots for SB 1001 disclosure Disclosure must be in the first conversational exchange and reasonably conspicuous. - 3 ### Build CCPA/CPRA ADMT pre-use notice into product UX Notice must precede the automated decision and explain logic in plain English. - 4 ### Stand up ADMT opt-out and human review workflows Human review must be conducted by a qualified person with authority to reverse the decision. - 5 ### Map AI training data through subprocessor chain AB 2013 disclosures require dataset provenance — most foundation model deployments need vendor cooperation to populate this. - 6 ### Update privacy notices to cover AI processing Standard CCPA notices typically don't reach AI training and inference; explicit AI processing categories should be added. - 7 ### Track 2026 frontier model legislation SB 1047 successor bills are likely; large model developers should engage with legislative process early. ## How EFROS helps California businesses comply EFROS runs California AI governance as an integrated CCPA/CPRA + AI law program — AB 2013 dataset disclosure workflows, ADMT consumer notice templates, SB 1001 bot disclosure audits, and the CA Bar generative AI compliance overlay for law firm clients. We coordinate AI processing with existing CCPA infrastructure so privacy and AI compliance don't drift into separate, contradicting programs. [EFROS AI Governance service →](https://efros.com/services/ai-governance/?source=state-ai-tracker-california) [Talk to Stefan Efros →](https://efros.com/contact/?source=state-ai-tracker-california) [Run AI Risk Score →](https://efros.com/tools/ai-risk-score/?source=state-ai-tracker-california) Disclaimer: this profile is a research dataset, not legal advice. Compliance determinations for California businesses require analysis of specific facts and should be made in consultation with qualified legal counsel licensed in California. ## Cite this resource Reference this resource with attribution under [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/). Copy any of the formats below for academic papers, blog posts, AI citations, or vendor evidence packages. APA (7th edition) ``` Efros, S. (2026, May). California AI Law Tracker — 2026. EFROS. https://efros.com/research/state-ai-law-tracker/california/ ``` MLA (9th edition) ``` Efros, Stefan. "California AI Law Tracker — 2026." EFROS, May 2026, https://efros.com/research/state-ai-law-tracker/california/. ``` Chicago (author-date) ``` Efros, Stefan. 2026. "California AI Law Tracker — 2026." EFROS. https://efros.com/research/state-ai-law-tracker/california/. ``` IEEE ``` S. Efros, "California AI Law Tracker — 2026," EFROS, May 2026. [Online]. Available: https://efros.com/research/state-ai-law-tracker/california/ ``` BibTeX ``` @misc{efros2026californiaailawt, author = {Stefan Efros}, title = {California AI Law Tracker — 2026}, year = {2026}, month = {May}, publisher = {EFROS}, url = {https://efros.com/research/state-ai-law-tracker/california/}, note = {Accessed: May 2026} } ``` Plain text URL ``` https://efros.com/research/state-ai-law-tracker/california/ ``` Site-wide citation metadata is also published as a CITATION.cff file at [/CITATION.cff](https://efros.com/CITATION.cff) for citation-management tools and academic indexers. Related EFROS resources ## More state AI law profiles & adjacent research [### US State AI Law Tracker — full index All tracked US state AI laws in a single citation-ready dataset.Open→](https://efros.com/research/state-ai-law-tracker/) [### AI Vendor Governance Index 20 AI vendors scored on 12 US AI governance axes, including state-law overlays.Open→](https://efros.com/research/us-ai-vendor-governance-index/) [### NIST AI RMF Implementation Guide Federal framework that anchors most state AI law deployer obligations.Open→](https://efros.com/resources/nist-ai-rmf-implementation-guide/) [### EFROS AI Governance service Operating program that implements multi-state AI law compliance.Open→](https://efros.com/services/ai-governance/) [### AI Risk Score 5-minute classification across Colorado SB 26-189 (amended AI law), NYC LL144, CA AB 2013, and NIST AI RMF.Open→](https://efros.com/tools/ai-risk-score/)