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California AI training disclosure bill faces feasibility concerns

By PulseAugur Editorial · [1 sources] ·

California lawmakers are revisiting Assembly Bill 412, which aims to compel AI developers to disclose copyrighted materials used in training generative models. Critics argue that the bill remains technically infeasible, as identifying and disclosing every piece of copyrighted data used in large-scale training is an insurmountable challenge. The Electronic Frontier Foundation (EFF) is highlighting these concerns as the bill moves forward. AI

IMPACT This bill could impose significant compliance burdens on AI developers operating in California, potentially influencing training data practices nationwide.

RANK_REASON The cluster discusses a proposed state-level regulation impacting AI development. [lever_c_demoted from significant: ic=1 ai=0.4]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

California AI training disclosure bill faces feasibility concerns

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The cluster discusses a proposed state-level regulation impacting AI development. [lever_c_demoted from significant: ic=1 ai=0.4]
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    ⚖️ California’s AB 412 Still Demands Developers Do The Impossible California lawmakers are again considering A.B. 412, a bill that would require AI developers t

    ⚖️ California’s AB 412 Still Demands Developers Do The Impossible California lawmakers are again considering A.B. 412, a bill that would require AI developers to identify and disclose copyrighted works used to train generative AI systems. The problem this year is... 📰 Source: Dee…

    LINKS eff.org/…/californias-ab-412-still-demand…

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