AI Governance Engineer
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California AB 2013: training-data transparency for generative AI

Developers post a summary of the datasets used to train a generative AI system made available to Californians (sources, size, data types, IP and personal information, synthetic data) on or before 2026-01-01 and on each substantial modification

By Reviewed

From clause to evidenceThe chain from California AB 2013 to its evidence record, in 6 steps; the text alternative lists them and the facts under the figure state each in full.ClauseCalifornia AB2013AB 2013Duty holderDevelopers ofgenerative AI…Applies from2026-01-01In forceArtefactData card perdataset,…LayerLayer 02Inventory &TransparencyEvidence recordEvidence recordv1Same topic elsewhere: no crosswalk topic files this clause yetAs of 2026-09-24 · illustrative, not a claim of conformity From clause to evidenceThe chain from California AB 2013 to its evidence record, in 6 steps; the text alternative lists them and the facts under the figure state each in full.ClauseCalifornia AB 2013 · AB 2013Duty holderDevelopers of generative AI…Applies from2026-01-01 · In forceArtefactData card per dataset,…LayerLayer 02Inventory & TransparencyEvidence recordEvidence record v1Same topic elsewhere: no crosswalk topicfiles this clause yetAs of 2026-09-24illustrative, not a claim of conformity
From clause to evidence Build the artefact, then file every output it produces as a record that names AIGE-OBL-USCA-AB2013. Drawn from chapter 08.
Text alternative
  • Clause: California AB 2013, AB 2013.
  • Duty holder: Developers of generative AI….
  • Applies from: 2026-01-01, In force.
  • Artefact: Data card per dataset,….
  • Layer: Layer 02 Inventory & Transparency.
  • Evidence record: Evidence record v1.
  • Record schema: Evidence record.
  • No crosswalk topic files this clause yet.
Id
AIGE-OBL-USCA-AB2013
Instrument
California AB 2013 (training-data transparency) law
Clause
AB 2013
In scope
Developers of generative AI systems released since 2022-01-01
Applies from
In force · Documentation due on or before 2026-01-01 and on each substantial modification

The artefact that evidences it

Data card per dataset, published at release; training-data rights ledger.

Patterns that build it

No pattern in the catalogue names this clause on its "Maps to" line yet; the artefact above is the engineering answer.

Source

Chapter 08, section Other state AI laws, checked against its sources on the review date above.

Machine-readable

Cite this obligation

García Aibar, J. (2026). California AB 2013: training-data transparency for generative AI (AIGE-OBL-USCA-AB2013). In AI Governance Engineering: The Thesis & Body of Knowledge (v0.5.0). https://doi.org/10.5281/zenodo.22956197. https://aigovernanceengineer.com/obligations/aige-obl-usca-ab2013. CC BY 4.0

BibTeX

@misc{aige2026obligation,
  author       = {Jorge García Aibar},
  title        = {{California AB 2013: training-data transparency for generative AI (AIGE-OBL-USCA-AB2013)}},
  howpublished = {In AI Governance Engineering: The Thesis \& Body of Knowledge},
  year         = {2026},
  version      = {0.5.0},
  doi          = {10.5281/zenodo.22956197},
  url          = {https://aigovernanceengineer.com/obligations/aige-obl-usca-ab2013},
  note         = {Version 0.5.0}
}