state regulation AI News & Updates
California Enacts First-in-Nation AI Safety Transparency Law Requiring Large Labs to Disclose Catastrophic Risk Protocols
California Governor Gavin Newsom signed SB 53 into law, requiring large AI labs to publicly disclose their safety and security protocols for preventing catastrophic risks like cyber attacks on critical infrastructure or bioweapon development. The bill mandates companies adhere to these protocols under enforcement by the Office of Emergency Services, while youth advocacy group Encode AI argues this demonstrates regulation can coexist with innovation. The law comes amid industry pushback against state-level AI regulation, with major tech companies and VCs funding efforts to preempt state laws through federal legislation.
Skynet Chance (-0.08%): Mandating transparency and adherence to safety protocols for catastrophic risks (cyber attacks, bioweapons) creates accountability mechanisms that reduce the likelihood of uncontrolled AI deployment or companies cutting safety corners under competitive pressure. The enforcement structure provides institutional oversight that didn't previously exist in binding legal form.
Skynet Date (+0 days): While the law introduces safety requirements that could marginally slow deployment timelines for high-risk systems, the bill codifies practices companies already claim to follow, suggesting minimal actual deceleration. The enforcement mechanism may create some procedural delays but is unlikely to significantly alter the pace toward potential catastrophic scenarios.
AGI Progress (0%): This policy focuses on transparency and safety documentation for catastrophic risks rather than imposing technical constraints on AI capability development itself. The law doesn't restrict research directions, model architectures, or compute scaling that drive AGI progress.
AGI Date (+0 days): The bill codifies existing industry practices around safety testing and model cards without imposing new technical barriers to capability advancement. Companies can continue AGI research at the same pace while meeting transparency requirements that are already part of their workflows.