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California A.B. 412: Innovation & Fair Use Win

California A.B. 412: Innovation & Fair Use Win

July 20, 2025 Lisa Park - Tech Editor Tech

California’s AB 412: A Win for AI Innovation and the Open Web

Table of Contents

  • California’s AB 412: A Win for AI Innovation and the Open Web
    • EFF’s Stance Against AB 412
    • The ⁣Bill’s Disregard for Fair Use
    • Moving Forward: Protecting Innovation and the Public Interest

California’s Assembly Bill 412, a piece​ of⁤ legislation that threatened to⁤ stifle innovation and⁢ penalize small‌ developers ​in the name of AI “openness,” ⁤has been​ substantially delayed. reclassified as a two-year bill, it will not advance in 2025. This outcome represents a crucial victory for the principles of innovation, freedom to code, and‌ the⁢ health of the open web.

EFF’s Stance Against AB 412

The Electronic Frontier Foundation (EFF) actively opposed AB 412 from its inception. The bill’s core ⁤aim was to regulate generative AI,not through a lens of public interest,but by imposing mandates for training ‌data “reading lists.” This approach was widely seen as a thinly veiled attempt to facilitate⁢ new copyright lawsuits, many of ⁤which are‌ initiated ⁣by large content corporations.

While the goal of ‍transparency in AI development is commendable,AB​ 412 offered a flawed and ineffective pathway to achieve it. the legislation placed an untenable​ burden on companies,⁢ both large and small, by requiring them to distinguish ⁢between copyrighted ‍and non-copyrighted content. The penalties⁣ for non-compliance were severe, creating an habitat​ that would have disproportionately benefited the largest AI companies while effectively freezing out smaller, non-commercial developers. These smaller entities are often at the forefront of developing AI for ‌public good,focusing on areas like accessibility,privacy,and identifying⁤ AI-related ⁤harms.

The ⁣Bill’s Disregard for Fair Use

A critical flaw in AB 412 was its direct challenge⁣ to established fair use principles. The question of whether and to what‍ extent AI training ⁤constitutes fair use is currently a subject of active litigation in federal courts. Significantly,⁣ recent judicial⁣ decisions have leaned towards recognizing AI training as fair use. A landmark case, Bartz v. Anthropic, saw a federal​ judge rule that AI training ⁣work is ⁣”transformative-spectacularly so,” drawing parallels to how search engines utilize copyrighted material to provide valuable search results.

Copyright ⁢law is a matter of federal jurisdiction. When individual states attempt to ⁤unilaterally rewrite these rules, it inevitably leads to confusion and an increase in litigation,‍ which ultimately benefits no one and hinders progress.

Moving Forward: Protecting Innovation and the Public Interest

For lawmakers seeking to address AI transparency, the path forward must be⁣ one that avoids​ providing rights-holders with ⁢tools to weaponize copyright claims. This⁣ necessitates a rejection of AB 412’s approach. ‌Rather, legislation ‍should be crafted to safeguard speech, foster competition, and protect the public’s interest in a‌ robust, open, and ⁢equitable AI ecosystem. The delay of AB 412 is a positive step in ⁢ensuring that the future of AI⁢ development remains accessible and beneficial to‌ all.

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