Answers

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 fragmented but evolving global landscape of binding laws, voluntary frameworks, standards, executive actions, and existing legal regimes governs the building, deployment, and accountability of AI systems (including general-purpose models like large language models). There is no single worldwide set of rules; instead, approaches vary by jurisdiction, with the EU having the most comprehensive bind

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,

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

Rules and frameworks governing the building, deployment, and accountability of AI systems (such as large language models) form a rapidly evolving, multi-layered landscape. They include binding laws (notably the EU AI Act), voluntary standards and frameworks, state/provincial rules, sector-specific regulations, and the application of pre-existing laws (e.g., data protection and liability). There is

There is no single global set of binding rules for AI systems like large language models or general-purpose AI (GPAI). Instead, a patchwork of international principles (mostly non-binding), comprehensive regional laws (notably the EU AI Act), national/subnational regulations, voluntary frameworks, industry self-commitments, and applications of existing laws (e.g., product liability, consumer prote