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 Jorge García Aibar Reviewed 2026-09-24

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.

When this obligation applies The first date in the row's status, then each later step: filled once its date has passed, outlined while it is still ahead of the review date.

Data table: the dates

Dates of AIGE-OBL-USCA-AB2013
Date	Step	Detail
2026-01-01	In force	Documentation due on or before 2026-01-01 and on each substantial modification

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: 2026-01-01 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.

L2 Inventory & Transparency

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

This obligation: /api/v1/obligations/aige-obl-usca-ab2013.json
The register: /api/v1/obligations.json · CSV
Schema and stability promise: open data and API

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}
}