Global AI regulation landscape
A plain-language, non-exhaustive overview of how AI is being regulated around the world — and how AiLunaPro helps your team prepare. This page is informational only.
Informational overview only — not legal advice. Requirements vary by jurisdiction, change over time, and depend on how an AI system is built and used. This summary is high-level and non-exhaustive; consult qualified counsel for your situation.
Why it matters
AI regulation is moving quickly and unevenly across the world. Some regions are adopting broad, risk-based laws; others rely on existing sector regulators, voluntary frameworks, or guidance. Organizations that operate across borders may need to account for several approaches at once.
The sections below outline major approaches at a high level to help you orient. They are summaries, not determinations of what applies to you.
The EU AI Act
The European Union's AI Act is a risk-based regulation for AI systems placed on the EU market. It groups uses into tiers (for example: prohibited, high-risk, limited-risk and minimal-risk) with different expectations for each, and its obligations are being phased in over time. Because of its scope, it is often used as a reference point in other regions.
Approaches in other major jurisdictions
United Kingdom
A principles-based, pro-innovation approach that relies largely on existing sector regulators rather than a single AI law.
United States
A mix of federal executive action, sector-specific rules, and a growing patchwork of state-level AI and privacy laws.
Canada
Has been developing dedicated AI legislation (the proposed AIDA) alongside existing privacy law.
Brazil
AI legislation has been under active discussion, building on the country's data-protection framework.
China
Has issued targeted rules covering areas such as algorithmic recommendation, deep synthesis, and generative AI.
Japan
Has generally favored a lighter-touch, guideline-based approach emphasizing voluntary governance.
South Korea
Has advanced framework legislation aimed at promoting AI while addressing trustworthiness.
India
An evolving, largely advisory and sector-driven approach, with policy still taking shape.
Singapore
Known for voluntary frameworks and toolkits, such as its Model AI Governance Framework.
Australia & New Zealand
Largely standards- and guidance-based to date, with consultations on possible further measures.
Other jurisdictions
Many other countries and regions are developing AI rules or guidance. Coverage and timing vary widely.
The above is a high-level snapshot and may not reflect the latest developments. Treat it as a starting point, not a compliance checklist.
What AiLunaPro helps with
Regardless of jurisdiction, good governance hygiene tends to look similar. AiLunaPro is preparation support — it helps you get organized, not a substitute for legal advice:
- AI inventory & registry — keep track of the AI tools and systems you use.
- Shadow AI signals — surface unmanaged or unsanctioned AI usage to review.
- Indicative risk triage — a non-binding, rule-based estimate to help you prioritize, not a legal classification.
- Documentation readiness — structure the information you may need to explain how your AI is used.
- Prioritized action plan — suggested preparation steps ordered by impact and effort.
Start in minutes
Try Audit Express for a fast, estimate-only readiness snapshot — no account required — or create an account for the full registry, audits, and action plan.
Preparation support, NOT a compliance certification, attestation, or legal advice. Risk levels shown in AiLunaPro are indicative estimates, not legal classifications.