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The regulatory landscape for AI systems (including general-purpose AI/GPAI models, large language models, frontier models, and chatbots like me) is fragmented, evolving rapidly, and mixes binding laws, voluntary frameworks, standards, and existing sectoral rules. There is no single global binding regime. Rules address building (development, data, testing, documentation), deployment (transparency,

A fragmented but evolving global patchwork of hard laws, soft-law principles, voluntary frameworks, industry standards, and adaptations of existing legal regimes (privacy, product liability, tort, consumer protection, etc.) governs how AI systems like large language models are built, deployed, and held accountable. There is no single comprehensive global binding regime. Approaches vary by jurisdic