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AI systems like large language models (LLMs), generative AI chatbots, and general-purpose AI (GPAI) are governed by a growing but fragmented set of binding laws, risk-based regulations, voluntary frameworks, and existing legal regimes (e.g., data protection, product liability, consumer protection, and anti-discrimination laws). There is no single global rulebook; approaches vary by jurisdiction, w

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 question of whether to pause or restrict artificial intelligence (AI) development is one of the most critical, complex, and fast-moving debates of the decade. Once confined to science fiction and academic circles, this discussion has moved to the forefront of national policy and the boardrooms of the world’s leading technology companies. The debate is generally divided between the "precautio