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California AB 2013 AI Training Data Transparency

state_law — US-CA
Effective: January 1, 2026 56 platforms tracked 380 provisions indexed Enforced by: California Attorney General

Overview

Requires generative AI developers to disclose training data details including dataset sizes, IP content, personal information, and licensing status.

Key Articles & Sections

Platforms We Track Subject to

AI21 Labs
6 relevant provisions
Anthropic
40 relevant provisions
Anyscale
1 relevant provision
Apple Intelligence
0 relevant provisions
Baseten
0 relevant provisions
Cerebras
5 relevant provisions
Cohere
15 relevant provisions
Copy.ai
4 relevant provisions
Cursor
10 relevant provisions
DeepSeek
1 relevant provision
Descript
3 relevant provisions
ElevenLabs
4 relevant provisions
Fireworks AI
4 relevant provisions
Glean
4 relevant provisions
Google AI Studio
2 relevant provisions
Google Gemini
14 relevant provisions
Groq
4 relevant provisions
Harvey AI
0 relevant provisions
Hugging Face
11 relevant provisions
Ideogram
7 relevant provisions
Inflection AI
4 relevant provisions
Jasper AI
5 relevant provisions
Kling AI
3 relevant provisions
LangChain
0 relevant provisions
Leonardo AI
8 relevant provisions
LlamaIndex
0 relevant provisions
Luma AI
18 relevant provisions
Midjourney
8 relevant provisions
Mistral AI
22 relevant provisions
NotebookLM
0 relevant provisions
Showing 30 of 56 platforms. View all platforms →

Recent Changes Related to

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ConductAtlas maps governance language to potentially relevant regulatory frameworks. Regulatory applicability and enforceability may vary by jurisdiction, enforcement context, and individual circumstances. This page is informational and does not constitute legal advice. Methodology

Provisions Governed by (380 across 56 platforms)

Input and Output License for Model Improvement AI21 Labs
Medium
Prompt and Interaction Data Collection and Model Training Use AI21 Labs
Medium
Cookies and Tracking Technologies AI21 Labs
Medium
Content Ownership and Output Assignment Anthropic
Medium
Output Ownership Assignment and Accuracy Disclaimer Anthropic
Medium
Output Intellectual Property Assignment Anthropic
Medium
Subscription Auto-Renewal and Cancellation Deadline Anthropic
Medium
Subscription Auto-Renewal and Cancellation Deadline Anthropic
Medium
AI Model Training Data Use and Opt-Out Anthropic
Medium
Model Training Opt-Out with Feedback and Safety Exceptions Anthropic
Medium
Inputs and Outputs Collected as Personal Data Anthropic
Medium
Model Training Opt-Out with Safety Review Carve-Out Anthropic
Medium
Data Collection from Third-Party Training Sources Anthropic
Medium
Cookies and Similar Tracking Technologies Anthropic
Medium
Automated Collection of Device and Location Data Anthropic
Medium
Automatic Collection of Device and Location Data Anthropic
Medium
Output Ownership and No Model Training Anthropic
Medium
Agentic Use and Autonomous Action Guidelines Anthropic
Medium
AI Model Training Opt-Out with Safety-Review Carve-Out Anthropic
Medium
Cookies and Tracking Technologies Anthropic
Medium
Subscription Auto-Renewal Anthropic
Medium
Model Training Opt-Out with Safety-Flagging Carve-Out Anthropic
Medium
Automatic Subscription Renewal Anthropic
Medium
Agentic AI and Model Context Protocol (MCP) Additional Guidelines Anthropic
Medium
Output Rights Assignment to Users Anthropic
Medium
Intellectual Property Assignment of Outputs Anthropic
Medium
Assignment of Output Ownership Anthropic
Medium
Training Data Collection from Third-Party Sources Including Internet Scraping Anthropic
Medium
Broad Automatic Data Collection Anyscale
Medium
User Content License to Cerebras Cerebras
Medium

Showing 30 of 380 provisions. View all →

Official Source

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Frequently Asked Questions

What does require?

Which platforms does apply to?

ConductAtlas tracks -relevant provisions across 56 platforms. Each platform's specific provisions are classified by severity and mapped to requirements.

How does ConductAtlas monitor compliance?

ConductAtlas captures policy documents daily, classifies provisions by regulatory framework, and flags changes that affect obligations. Every change is archived with cryptographic verification.