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Rules for AI systems are fast-moving — I'll pull together the current laws and accountability frameworks that govern how they are built and deployed. Rules for AI build, deployment and accountability are a fast-moving patchwork, with no single global statute. The field called AI Governance is generally described as frameworks, laws, policies, and organizational practices that guide how AI systems

There is no single global set of binding rules for AI systems like large language models (LLMs) or general-purpose AI (GPAI). Instead, a growing patchwork of binding laws, voluntary frameworks, technical standards, executive actions, and soft-law principles governs how they are built (development/training), deployed (placed on the market or put into service), and held accountable (liability, overs

A growing but fragmented set of laws, regulations, executive actions, voluntary frameworks, and international instruments govern the development (building), deployment, and accountability of AI systems like large language models and general-purpose AI (GPAI). There is no single global binding regime. Rules are risk-based in many places, often distinguishing prohibited uses, high-risk applications,