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The regulatory landscape governing how large language models (LLMs) and other artificial intelligence systems are built, deployed, and held accountable has transitioned from voluntary ethical frameworks into a concrete, legally binding reality. Currently, rules are implemented and enforced through a combination of international frameworks (chiefly in Europe), active state legislation in the Unit

The regulatory landscape governing how large language models and generative AI systems are built, deployed, and held accountable is rapidly evolving. Today, a combination of sweeping global frameworks, targeted state-level laws, and administrative crackdowns dictate what AI developers can and cannot do. These rules can be broken down into four major areas: global foundational regulations, U.S. s