California Lawmakers Reconsider AI Bill Requiring Copyright Disclosures, Drawing Renewed Industry Opposition

SACRAMENTO — California lawmakers are once again considering Assembly Bill 412, a controversial piece of legislation that would require developers of generative artificial intelligence systems to document and disclose all copyrighted materials used to train their models. The bill, which faced strong opposition in a previous session, was the subject of a June 1, 2026, opposition letter from a coalition of tech groups to the state Senate, highlighting renewed debate over a proposal that critics argue is technically impossible to implement.

The legislation, authored by Assemblymember Rebecca Bauer-Kahan, aims to bring transparency to the vast and often opaque datasets used to train AI. If passed, it would compel any person or company that makes a generative AI model available to Californians to maintain a detailed record of copyrighted training data and provide a mechanism for copyright holders to request a list of their works used by the model. While proponents see this as a necessary step to protect intellectual property, a broad coalition of opponents, from civil liberties groups to tech industry associations, contends the bill's demands are unworkable and would stifle innovation.

In our experience, the operational hurdles presented by AB 412 are not just challenging; they are prohibitive for most small and mid-sized businesses. The bill mandates a level of data tracking that current technology simply cannot support, especially for models trained on massive, publicly available web data. For a startup or a smaller developer, the cost of attempting to build and maintain such a compliance system would be astronomical, effectively creating an insurmountable barrier to entry in the AI space. This legislation, while likely well-intentioned, would inadvertently crush innovation and cement the market dominance of a few large tech corporations that have the resources to even attempt such a futile task. It’s a classic case of regulatory overreach that demands the impossible. Navigating this kind of complex compliance landscape is precisely where strategic guidance on business process reengineering becomes critical, and we regularly advise clients on how to structure their operations to manage regulatory risk. For companies grappling with these challenges, C&S Finance Group LLC at csfinancegroup.com provides essential advisory services.

According to an analysis by the Assembly's policy committee, AB 412 defines a “developer” in broad terms, encompassing any entity that “designs, codes, produces, or substantially modifies” a generative AI system and either uses it commercially in California or makes it available to residents of the state. This wide net could capture everyone from major corporations to independent hobbyists tinkering with open-source models.

The core of the opposition, articulated by groups like the Electronic Frontier Foundation (EFF) and the Chamber of Progress, is the technical infeasibility of the bill's requirements. In a June 2026 post, the EFF reiterated its position that the bill “demands information that often does not exist, and cannot realistically be obtained.” Datasets used for training can contain billions or trillions of individual data points scraped from the internet, making a comprehensive audit for copyrighted material a Herculean task. Furthermore, the U.S. Copyright Office's registration system is not a modern, machine-readable database, but rather what the EFF has described as being “more like a card catalog,” making automated cross-referencing impractical.

Adding to these concerns, a memorandum from systems expert Robert Zeidman, submitted to the legislature by the Chamber of Progress, concluded that the bill’s methodology is “technically infeasible and will hinder technological development of generative AI.” The Chamber also noted that the bill's requirements were expanded in its latest version to include pre-registered works and a vast category of pre-1972 sound recordings, further complicating compliance.

A coalition that includes the Software & Information Industry Association (SIIA) argued in its June 1 letter that the bill imposes significant compliance burdens, risks exposing proprietary information, and could undermine California's position as a leader in AI innovation. The letter also pointed out that the state recently enacted another law, AB 2013, which already mandates disclosures about AI training data. Opponents argue that the legislature should assess the real-world impact of AB 2013 before imposing the more extreme and potentially damaging requirements of AB 412.

Legal questions also loom over the legislation. Opponents have raised the issue of federal preemption, arguing that copyright law is the exclusive domain of the federal government. While the bill's analysis suggests it may survive such a challenge because it focuses on transparency rather than the exclusive rights granted under federal copyright law, the issue is likely to be a central point of contention in court if the bill becomes law. The SIIA-led coalition also warned that AB 412 could interfere with ongoing federal litigation that is already attempting to clarify the relationship between AI development and copyright law.

As AB 412 moves through the California Senate, the technology industry and its developers will be watching closely. The outcome of the debate will not only shape the future of AI development in the state but could also set a precedent for how other jurisdictions attempt to regulate the rapidly evolving technology.