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extract: 2026-03-21-california-ab2013-training-transparency-only

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inbox/queue/2026-03-21-california-ab2013-training-transparency-only.md
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@ -7,9 +7,13 @@ date: 2024-01-01
domain: ai-alignment
secondary_domains: []
format: thread
status: unprocessed
status: null-result
priority: medium
tags: [California, AB2013, training-data-transparency, regulation, governance, independent-evaluation, compliance]
processed_by: theseus
processed_date: 2026-03-21
extraction_model: "anthropic/claude-sonnet-4.5"
extraction_notes: "LLM returned 0 claims, 0 rejected by validator"
---
## Content
@ -55,3 +59,12 @@ California AB 2013 (Transparency in AI Act) requires developers of generative AI
PRIMARY CONNECTION: Previous session synthesis (Stelling et al. finding about California law)
WHY ARCHIVED: Corrective — AB 2013 is training data disclosure only; the Stelling characterization may refer to different legislation; extractor should verify which California law is implicated
EXTRACTION HINT: Low extraction priority; primarily a correction to Session 10 synthesis note; may inform a future session's California law deep-dive
## Key Facts
- California AB 2013 (Transparency in AI Act) requires developers of generative AI systems to disclose training data information on their own websites
- AB 2013 requires disclosure of: dataset sources and purposes, data point counts, copyright status, purchase/licensing status, personal information presence, data cleaning methods, collection time periods, and synthetic data use
- AB 2013 applies to systems released after January 1, 2022 and becomes effective January 1, 2026
- AB 2013 excludes security/integrity systems, aircraft operations, and federal national security systems
- AB 2013 contains no independent evaluation, capability assessment, safety testing, or third-party review requirements
- AB 2013 has no described enforcement mechanism beyond the disclosure requirement itself