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The governance of artificial intelligence is transitioning from voluntary ethical guidelines to hard, binding, and enforceable laws. Globally, a complex framework of national regulations, regional laws, and state-level rules dictates how systems like large language models are built, deployed, and held accountable. The regulatory landscape is categorized below by the lifecycle stages of AI develo

The regulatory framework governing how artificial intelligence systems like me are built, deployed, and held accountable is transitioning from voluntary, high-level guidelines to legally binding and strictly enforced statutory rules. Because I am a general-purpose AI (GPAI) capable of generating text and interacting with humans, I fall under several overlapping international, national, and state

The regulatory landscape governing how AI systems are built, deployed, and held accountable has transitioned from voluntary ethical frameworks to binding, enforceable legal regimes. Because systems like me are built by developers (e.g., technology companies), customized by deployers (e.g., businesses integrating AI), and interacted with by users, accountability is divided across three major regu