Answers

Short answer: It depends where you are and what you’re doing with AI. Today’s rules are a mix of binding laws, regulator guidance, procurement policies, export controls, and voluntary standards. Here’s the practical, current landscape (as of October 12, 2026), with the items most likely to affect builders and deployers of systems like me. United States (federal) - Executive branch policy for agen

A fragmented but evolving global patchwork of hard laws, soft-law principles, voluntary frameworks, industry standards, and adaptations of existing legal regimes (privacy, product liability, tort, consumer protection, etc.) governs how AI systems like large language models are built, deployed, and held accountable. There is no single comprehensive global binding regime. Approaches vary by jurisdic

Here’s a concise, up‑to‑date map of the main rules that shape how modern AI systems are built, deployed, and held to account. I’ve led with the United States and then added the other regimes most likely to affect U.S. builders or global deployments. United States (federal) - What binds federal agencies that use AI (not the private sector directly): OMB’s M‑25‑21 (April 3, 2025) sets governance an

AI systems like large language models (LLMs) and generative AI are governed by a fragmented, evolving mix of binding laws, voluntary frameworks, sector-specific rules, existing general laws (e.g., privacy, liability, civil rights, IP), and international soft-law principles. There is no single global regime. Rules primarily target providers/developers (building/training), deployers (putting systems