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© 2026 AI Compliance Atlas. Informational only — not legal advice. Consult qualified counsel before making compliance decisions.Verified Jul 28, 2026
  1. Home/
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  4. California Generative AI: Training Data Transparency
In effectAB 2013 (2024)California

California Generative AI: Training Data Transparency for Insurance

How California Generative AI: Training Data Transparency applies to insurance organizations and the obligations to plan for.

Effective
January 1, 2026
Max penalty
Not specified
Applies to
developer

Why this law matters for insurance

Insurance carriers and insurtech firms using AI in underwriting, claims processing, fraud detection, and pricing decisions.

This law applies to insurance organizations to the extent their AI use falls within the law's scope (see the obligations below). Organizations operating in California should treat this law as part of the baseline regulatory obligations alongside any sector-specific federal rules.

Key obligations

  • transparency→ developerCal. Civ. Code § 3111

    Publicly post on the developer's website a high-level summary of training datasets used for any generative AI system or service made available to Californians on or after January 1, 2022.

    Deadline: by_2026-01-01

  • documentation→ developerCal. Civ. Code § 3111

    Address each statutory element in the dataset summary — sources or owners, how the data furthers the system's purpose, number and types of data points, copyright/trademark/patent or public-domain status, purchased-or-licensed status, presence of personal information or aggregate consumer information, any cleaning or modification, first-use dates, collection time period, and any use of synthetic data generation.

    Deadline: by_2026-01-01

  • transparency→ developerCal. Civ. Code § 3110

    Refresh and re-post the public training-data summary before each subsequent public release or substantial modification of a covered generative AI system, so the disclosure stays current rather than ending at the initial January 1, 2026 deadline.

    Deadline: before_each_release

Recommended next steps

  1. Inventory AI systems used in insurance workflows that may fall within California Generative AI: Training Data Transparency's scope.
  2. Map each system against the obligations above and identify the responsible role (developer vs deployer).
  3. Adopt a structured framework — see NIST AI RMF and ISO/IEC 42001 — to demonstrate due care and produce audit-ready evidence.
  4. Document obligations satisfied and gaps in a single register, refreshed at the cadence required by the law (typically annual).

Frequently asked questions

Does California Generative AI: Training Data Transparency apply to insurance organizations?

This law applies to insurance organizations to the extent their AI use falls within the law's scope (see the obligations below). The law should be read with the source-derived obligations listed on this page and any sector-specific federal rules that apply to insurance workflows.

When does California Generative AI: Training Data Transparency take effect for insurance use cases?

California Generative AI: Training Data Transparency has been effective since January 1, 2026.

Who carries the compliance duty for California Generative AI: Training Data Transparency in insurance?

California Generative AI: Training Data Transparency lists developer as the role coverage for California. The actual duty depends on whether the organization develops, deploys, procures, or uses the covered AI system in the law's scope.

What penalty exposure should insurance teams track?

California Generative AI: Training Data Transparency does not list a fixed maximum penalty in the Atlas record; remedies follow the law's enforcement framework and source sections.

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Related
  • California Generative AI: Training Data Transparency — full law detail
  • All AI laws applicable to insurance
  • All AI laws in California
Legal disclaimer

This content is informational only and does not constitute legal advice. Laws change frequently and vary by jurisdiction. Consult qualified legal counsel before making compliance decisions. Information accuracy not guaranteed as of any specific date.

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