Requires developers to publicly post data documentation for generative AI systems released after 2022, covering datasets used, unless systems focus solely on security, aircraft operation, or national defense. Specifies details including data sources, purposes, and modifications.
Requires developers of generative AI systems or services made publicly available in California to post documentation about the data used for training these systems on their websites by 2026.
Specifies the documentation must include a summary of datasets, sources, and how they support the system's purpose.
Requires disclosure on dataset data points, whether datasets include copyrighted or personal information, modifications made, and whether synthetic data is used.
Exempts AI systems aimed solely at ensuring security and integrity, operating aircraft in national airspace, or developed for national security and defense purposes for federal entities from these documentation requirements.
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Key facts
🏛️ This document has been enacted by the State of California.
For authoritative text and metadata, visit the official source.
📜 This document's name is California AB-1170, SEC. 35 (Generative AI Training Data Documentation 2025).
It is part of California AB 1170 (Maintenance of the Codes 2025).
↳ This document is part of a longer one: California AB 1170 (Maintenance of the Codes 2025).
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Full text
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THE PEOPLE OF THE STATE OF CALIFORNIA DO ENACT AS FOLLOWS:
SEC. 35. Section 3111 of the Civil Code is amended to read:
3111. On or before January 1, 2026, and before each time thereafter that a generative artificial intelligence system or service, or a substantial modification to a generative artificial intelligence system or service, released on or after January 1, 2022, is made publicly available to Californians for use, regardless of whether the terms of that use include compensation, the developer of the system or service shall post on the developer's internet website documentation regarding the data used by the developer to train the generative artificial intelligence system or service, including, but not limited to, all of the following:
(a) A high-level summary of the datasets used in the development of the generative artificial intelligence system or service, including, but not limited to:
(1) The sources or owners of the datasets.
(2) A description of how the datasets further the intended purpose of the artificial intelligence system or service.
(3) The number of data points included in the datasets, which may be in general ranges, and with estimated figures for dynamic datasets.
(4) A description of the types of data points within the datasets. For purposes of this paragraph, the following definitions apply:
(A) As applied to datasets that include labels, "types of data points" means the types of labels used.
(B) As applied to datasets without labeling, "types of data points" refers to the general characteristics.
(5) Whether the datasets include any data protected by copyright, trademark, or patent, or whether the datasets are entirely in the public domain.
(6) Whether the datasets were purchased or licensed by the developer.
Requires developers to post data documentation on their websites before releasing generative AI in California.
Requires developers to post data documentation on their websites before releasing generative AI in California.
(7) Whether the datasets include personal information, as defined in subdivision (v) of Section 1798.140.
(8) Whether the datasets include aggregate consumer information, as defined in subdivision (b) of Section 1798.140.
(9) Whether there was any cleaning, processing, or other modification to the datasets by the developer, including the intended purpose of those efforts in relation to the artificial intelligence system or service.
(10) The time period during which the data in the datasets were collected, including a notice if the data collection is ongoing.
(11) The dates the datasets were first used during the development of the artificial intelligence system or service.
(12) Whether the generative artificial intelligence system or service used or continuously uses synthetic data generation in its development. A developer may include a description of the functional need or desired purpose of the synthetic data in relation to the intended purpose of the system or service.
Requires developers to report dataset handling and synthetic data use in AI systems or services.
Requires developers to report dataset handling and synthetic data use in AI systems or services.
(b) A developer shall not be required to post documentation regarding the data used to train a generative artificial intelligence system or service for any of the following:
(1) A generative artificial intelligence system or service whose sole purpose is to help ensure security and integrity. For purposes of this paragraph, "security and integrity" has the same meaning as defined in subdivision (ac) of Section 1798.140, except as applied to any developer or user and not limited to businesses, as defined in subdivision (d) of that section.
(2) A generative artificial intelligence system or service whose sole purpose is the operation of aircraft in the national airspace.
(3) A generative artificial intelligence system or service developed for national security, military, or defense purposes that is made available only to a federal entity.
Exempts developers from posting training data documentation for AI ensuring security, operating aircraft, or for federal defense.
Exempts developers from posting training data documentation for AI ensuring security, operating aircraft, or for federal defense.