Compare AI regulation across jurisdictions

Pick two to four jurisdictions. Every cell is derived from published, source-backed records so you can see where binding rules exist, where guidance applies and where nothing is recorded yet.

Change jurisdictions (2 selected)

Jurisdictions

Up to four. The number beside a name is how many instruments it has; a dash means nothing AI-specific is recorded yet.

Africa (55)

Americas (54) 1 selected

Asia (61) 1 selected

Europe (58)

International (1)

International organisations (OECD, UNESCO, UN, G7, ISO) 6

Oceania (20)

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China vs US

Comparison of China, United States
Category	China Verified 26 Sep 2026 (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)	United States Verified 26 Sep 2026 (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)
Regulatory status	Instruments on record: Interim Measures for the Management of Generative Artificial Intelligence Services (2023, regulation, in force); Measures for Labeling Artificial Intelligence-Generated and Synthetic Content (2025, regulation, in force); Opinions of the State Council on Deepening the Implementation of the 'AI Plus' Action (2025, strategy, adopted). Each is linked to its official source; human verification pending.	Federal: executive-branch policy (Executive Order 14179 of January 2025 and the July 2025 AI Action Plan) plus binding OMB requirements for federal agencies' use and procurement of AI; NIST AI RMF is voluntary. States: a growing number of binding statutes with 2025–2026 effective dates. A reviewer must confirm the status of federal efforts to pre-empt or discourage state AI laws announced in late 2025.
Binding AI legislation	Interim Measures for the Management of Generative Artificial Intelligence Services (In force) Measures for Labeling Artificial Intelligence-Generated and Synthetic Content (In force)	EO 14179 (In force) Executive Order 14365 (state AI laws) (In force) OMB M-25-21 (In force)
High-risk AI rules	No high-risk tiering recorded.	No high-risk tiering recorded.
Generative and general-purpose AI rules	No generative-AI-specific obligations recorded.	0 binding, 4 voluntary Establish AI governance policies, roles and accountability (Govern) (voluntary) Map context, intended use and potential impacts (Map) (voluntary) Prioritise, respond to and monitor AI risks (Manage) (voluntary) Measure and test trustworthiness characteristics (Measure) (voluntary)
Transparency obligations	No transparency obligations recorded.	1 binding, 0 voluntary Publish an annual AI use-case inventory
Impact assessment	No impact-assessment obligations recorded.	0 binding, 1 voluntary Map context, intended use and potential impacts (Map) (voluntary)
Data governance and personal data	No data-governance obligations recorded.	No data-governance obligations recorded.
Human oversight	No human-oversight obligations recorded.	No human-oversight obligations recorded.
Public-sector requirements	No public-sector-specific requirements recorded.	Federal acquisition of AI must follow OMB M-25-22 Federal agencies must review and revise actions inconsistent with the new AI policy
Key effective dates	No dated milestones recorded.	22 July 2025: AI Action Plan due (180 days) (EO 14179)
Official sources	Interim Measures for the Management of Generative Artificial Intelligence Services Measures for Labeling Artificial Intelligence-Generated and Synthetic Content Opinions of the State Council on Deepening the Implementation of the 'AI Plus' Action	NIST AI Risk Management Framework (AI RMF 1.0) Executive Order 14179: Removing Barriers to American Leadership in Artificial Intelligence America's AI Action Plan

Cells are generated from published records; a category showing "not recorded" means no source-backed entry exists yet, not that the jurisdiction has no rules. Scroll horizontally on small screens.

Country pairs

Side-by-side table, obligation overlap by category, and what is left for one side if you already comply with the other. Computed from the records.

Curated comparisons

EU vs India AI regulation: side-by-side comparison
The European Union has a binding, risk-based AI law with phased deadlines; India relies on data-protection and IT law plus non-binding governance guidelines. For a company serving both markets, the EU AI Act usually sets the design bar while India's DPDP Act sets the data bar.
EU vs UK AI regulation: side-by-side comparison
The EU legislated; the UK delegated to existing regulators under five principles. UK GDPR and the Equality Act do much of the binding work in the UK, while the EU AI Act adds system-level duties on top of the GDPR.
EU vs US AI regulation: federal, state and AI Act compared
The EU has one binding law applied across 27 Member States; the United States has federal policy that binds agencies, a voluntary NIST framework, and a growing set of state statutes. Colorado is included because it is the closest US analogue to the EU's high-risk approach.
Singapore vs Australia AI governance compared
Both countries lead with voluntary frameworks and existing law. Singapore emphasises testing and assurance tooling; Australia's guardrails were written to become mandatory if the government chose to legislate.

Disclaimer: informational only, not legal advice. Verify every claim against the linked official sources and consult a qualified lawyer before acting.

Frequently asked questions

How many jurisdictions can I compare at once?

Between two and four. Beyond four the table stops being readable on a normal screen, which defeats the point of comparing at all.

What does an empty cell mean?

That nothing is recorded for that jurisdiction on that row — not that the jurisdiction has no rule. An empty cell is a gap in this platform, and the coverage and open-gaps pages track those in public.

Where do the comparison rows come from?

Every cell is derived from the same published, source-linked records the rest of the site uses. Nothing in a comparison is written specially for it, so a correction to a record corrects the comparison too.