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There is no single global set of rules governing AI systems like large language models (LLMs) or general-purpose AI (GPAI). Instead, a patchwork of binding laws, voluntary frameworks, executive actions, sector-specific rules, and international principles applies, varying by jurisdiction, risk level, and use case. These address building (development, training data, risk management), deployment (tra

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