Artificial Intelligence Policy Tracker
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AI policy explorer

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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4 of 244 instruments match

European Union Regulation Partially applicable Binding

EU AI Act

Regulation (EU) 2024/1689 — Artificial Intelligence Act

The EU AI Act is a binding regulation that sets rules for developing, placing on the market and using AI systems in the European Union. It bans a small set of practices considered unacceptable, imposes detailed requirements on "high-risk" AI systems used in areas such as employment, education, credit, essential services, law enforcement and safety-critical products, requires transparency for chatbots and synthetic content, and creates separate duties for providers of general-purpose AI models. Obligations apply in phases between 2025 and 2028.

Applies from 2 Aug 2026 Pending review (a factual check against the official source, not a legal review) Official source
Montana (United States) Act / statute In force Binding

Montana Right to Compute Act

Montana Right to Compute Act (SB 212, 69th Legislature, 2025)

Recognises a right to own and use computational resources and limits government restrictions on them; critical infrastructure facilities controlled by an AI system must have a risk management policy.

Pending review (a factual check against the official source, not a legal review) Official source
Spain Regulation In force Binding

Royal Decree 817/2023 (AI regulatory sandbox)

Real Decreto 817/2023, de 8 de noviembre, que establece un entorno controlado de pruebas para el ensayo del cumplimiento de la propuesta de Reglamento de IA

Establishes Spain's controlled testing environment (sandbox) for providers of high-risk AI systems to test compliance with the then-proposed EU AI Act requirements: risk management, data governance, documentation, transparency, human oversight, accuracy and robustness. Participation is voluntary; participants receive guidance and produce documentation that feeds into national implementation.

In force 10 Nov 2023 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) 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 (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) 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.