California Enacts Additional Generative AI Bills Touching on Training Data

California Governor Gavin Newsom vetoed the broad AI safety bill SB 1047 but simultaneously signed legislation mandating transparency in generative AI training data. AB 2013 requires developers to publish high-level summaries of the datasets used to train their models, detailing sources, intellectual property status, and data modifications. This shift marks a significant move toward exposing the opaque training processes that have largely fueled ongoing copyright and privacy litigation, compelling companies to disclose information they previously kept secret for competitive reasons. The new mandate ensures that the public can access critical insights into the provenance and composition of training data, addressing concerns about unauthorized use of personal information and copyrighted material. By forcing the disclosure of these data sources, the law aims to provide accountability and clarity in an area previously shrouded in secrecy. This requirement applies to models made publicly available, signaling a regulatory stance that prioritizes public scrutiny over developer confidentiality regarding the foundational data of AI systems. These regulations are highly relevant to the open data community, as they institutionalize the expectation that AI training datasets should be documented and accessible for public review. While the current law only requires high-level summaries rather than raw data access, it establishes a legal precedent for transparency in AI development. This trend supports the broader open data movement by challenging the norm of secrecy in technology and encouraging more open, verifiable practices in how artificial intelligence systems are built and validated.

Source: natlawreview.com
Published on 2024-10-02

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