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Rules governing AI systems like large language models (LLMs) and general-purpose AI (GPAI) are evolving rapidly, fragmented by jurisdiction, and mix binding laws, voluntary frameworks, standards, and soft law. They address the full lifecycle—design/build (data, training, risk assessment), deployment/use (transparency, oversight, prohibited uses), and accountability (liability, audits, remedies)—wi

There is no single global set of rules governing the building, deployment, or accountability of AI systems like large language models (LLMs) or chatbots. Instead, a rapidly evolving patchwork of binding laws (mostly risk-based or sector-specific), voluntary frameworks, international principles, technical standards, and applications of existing laws (privacy, discrimination, product liability, cons

Rules governing AI systems (like large language models and generative AI) cover development/building, deployment/use, and accountability, but form a patchwork of binding laws, voluntary frameworks, standards, and existing general laws rather than a single global regime. They emphasize risk-based approaches, with stricter rules for high-risk or frontier systems. Coverage is strongest in the EU; the