P2P

18 models without oversight. Its focus on catastrophic risks may leave more common harms – bias, privacy violations, misinformation – addressed only indirectly. Definitions of "catastrophic risk" and "critical safety incident" may require refinement as technology evolves. And enforcement will demand new state-level expertise and resources. Yet these challenges do not diminish SB 53's significance. Every transformative regulatory framework begins imperfectly, then evolves through iteration, refinement, and learning. SB 53 is not the final word in AI governance; it is the opening chapter. A CALIFORNIA WAVE WORTH RIDING SB 53 represents a bold and undeniably Californian approach to governing frontier AI. It blends pragmatism with vision, innovation with responsibility, and transparency with ambition. It says to the world that powerful technology can flourish without forsaking public safety, and that the future need not be feared – it just needs to be stewarded with care. How SB 53 will truly impact Californians, frontier AI companies, and the global market is yet to be seen – but one clear thing is that while there is an ongoing arms race for AI development, SB 53 is pioneering the way on frontier AI transparency. PRITI SARASWAT is a distinguished leader in legal technology, spearheading knowledge, AI strategy, and innovation at Levenfeld Pearlstein. With over a decade of experience, Priti has revolutionized legal operations through strategic AI implementation and automation. As a Certified Information Privacy Professional (CIPP/US), she ensures that technology adoption aligns with rigorous privacy and ethical standards. Priti brings a global lens to integrating AI-driven solutions in legal services. Her prior roles include leading initiatives in process automation, privacy management, and transformational technology strategies at both law firms and Alternative Legal Service Providers (ALSPs). Priti has been recognized as a Young Professional to Watch and received awards for her thought leadership and publications. Every transformative regulatory framework begins imperfectly, then evolves through iteration, refinement, and learning.

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