AI policies in United States

Search and filter source-backed AI laws, regulations, standards, guidance and consultations. Each record shows its status, key dates, verification state and official source.

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2 of 244 instruments match

United States Executive order In force Binding

Executive Order 14365 (state AI laws)

Executive Order 14365: Ensuring a National Policy Framework for Artificial Intelligence

Directs the Attorney General to set up an AI Litigation Task Force to challenge state AI laws, asks the Commerce Department to identify "onerous" state AI laws (with non-deployment broadband (BEAD) funds tied to that list), and asks the FTC for a policy statement on AI outputs. It does not itself pre-empt any state law; that would take legislation or a court ruling.

In force 11 Dec 2025 Pending review 15 Oct 2026 Official source

United States Framework Voluntary standard

NIST AI RMF

NIST AI Risk Management Framework (AI RMF 1.0) and Generative AI Profile

The NIST AI Risk Management Framework is a voluntary framework for managing risks to individuals, organisations and society from AI. It organises practices into four functions: Govern, Map, Measure and Manage, and describes characteristics of trustworthy AI such as validity, safety, security, accountability, explainability, privacy and fairness. The July 2024 Generative AI Profile (NIST AI 600-1) adds risks and suggested actions specific to generative AI. Many US procurement requirements and state laws reference the framework as a recognised approach.

Adopted 26 Jan 2023 Verified 26 Sep 2026 Official source

Frequently asked questions

What counts as an AI policy instrument here?

Anything a government or standards body has actually issued: acts, regulations, executive orders, rules, national strategies, frameworks, guidance, codes of practice, voluntary standards and open consultations. Each record states which of those it is, whether it binds anyone, and links the official source it was read from.

Are these records legally verified?

A record is marked verified only after a named reviewer has opened its official source and confirmed each field. Anything that has not been through that carries "pending review" on the record itself, and the data-health document reports the current totals. Nothing here is legal advice.

How current is the information?

Every record carries the date its source document was published and the date it was last checked. A record not re-checked within the freshness window set by the verification policy is flagged as stale rather than quietly presented as current.

Can I reuse this data?

Yes. The records are published under CC BY 4.0 with attribution, and are available as CSV, newline-delimited JSON and a read-only REST API that needs no key. Cite the record URL, the date accessed and the official source alongside it.