Search and filter source-backed AI laws, regulations, standards, guidance and consultations. Each record shows its status, key dates, verification state and official source.
Национальная стратегия развития искусственного интеллекта на период до 2030 года (Presidential Decree No. 490 of 10 October 2019, as amended by Decree No. 124 of 15 February 2024)
The national strategy sets goals for AI research, compute, data, talent and adoption across the economy and public administration to 2030, with the 2024 amendment adding targets on domestic compute capacity, large generative models, share of organisations using AI, and trusted-AI requirements for the public sector. It is implemented through the federal "Artificial Intelligence" project.
Adopted 10 Oct 2019Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Plan national de convergence pour le développement de l'intelligence artificielle
Adopted in 2022, the convergence plan coordinates the federal and regional AI initiatives around nine objectives, including trustworthy AI, skills, data, research, public-sector adoption and international positioning, with AI4Belgium as the delivery coalition.
Adopted 1 Oct 2022Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
The national AI plan sets priorities for research, skills, public-sector and business adoption, data and infrastructure and trustworthy AI in line with the EU coordinated plan and the AI Act.
Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Nasjonal strategi for kunstig intelligens (National Strategy for Artificial Intelligence)
Published in January 2020, the strategy sets ethical principles for AI in Norway based on the EU High-Level Expert Group guidelines, and measures on data access and sharing, language resources, research, skills, public-sector and business adoption, security and the Data Protection Authority's sandbox.
Adopted 14 Jan 2020Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Published in March 2019, the strategy sets a responsible foundation for AI (ethical principles, data ethics council, legal clarity), more and better data, strong competences and new knowledge, and increased investment, with priority sectors of health, energy and utilities, agriculture and transport, and a set of public-sector pilot projects.
Adopted 14 Mar 2019Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
National Artificial Intelligence Policy, 2082 (2025) — Nepal
Nepal's National AI Policy sets the government's direction for developing and using artificial intelligence. Based on the published summaries, it aims to build AI infrastructure and skills, promote ethical and responsible AI, strengthen data governance, establish institutional arrangements for AI oversight, and prepare legal and regulatory measures. It is a policy framework, not a law, and does not itself create enforceable obligations on private organisations.
Adopted 1 Aug 2025Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
New Zealand's Strategy for Artificial Intelligence: Investing with Confidence
Published in July 2025, the strategy aims to lift AI adoption by businesses, especially small and medium enterprises, and the public sector, by reducing barriers, providing clear guidance (Responsible AI Guidance for Businesses), building skills and pursuing a light-touch, proportionate regulatory approach that relies on existing law and international alignment (OECD principles). It rules out a standalone AI act for now.
Adopted 8 Jul 2025Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
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 2023Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
A draft strategy for responsible AI adoption across the Northern Ireland public sector under eight principles; the final version goes to the Executive.
Pending review (a factual check against the official source, not a legal review)Official source
OECD Recommendation of the Council on Artificial Intelligence (OECD/LEGAL/0449), adopted 22 May 2019 and revised 3 May 2024
The first intergovernmental standard on AI. It sets five values-based principles (inclusive growth and well-being; human rights and democratic values including fairness and privacy; transparency and explainability; robustness, security and safety; accountability) and five recommendations to governments (invest in research, foster an inclusive AI ecosystem, enable an agile policy environment, build human capacity and prepare for labour-market transition, cooperate internationally). The 2024 revision updated the definition of an AI system (adopted by the EU AI Act and other laws) and added references to general-purpose and generative AI, misinformation and environmental sustainability. Adherents include all OECD members and several non-members; the G20 AI Principles (2019) draw on it.
Adopted 22 May 2019Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Polityka dla rozwoju sztucznej inteligencji w Polsce od roku 2020
Adopted by resolution of the Council of Ministers in December 2020, the policy sets goals for AI in society, business, science, education, international cooperation and the public sector, with short-, medium- and long-term actions and an ethics and trustworthy-AI dimension.
Adopted 28 Dec 2020Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Roadmap for the regulation of artificial intelligence in Ukraine
Published in October 2023, the roadmap sets a two-stage, bottom-up approach: first voluntary instruments (white paper, general and sector recommendations, a self-assessment tool, a code of conduct and regulatory sandboxes) to help businesses prepare, then a law on AI harmonised with the EU AI Act, timed with Ukraine's EU accession path.
Adopted 1 Oct 2023Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
A five-year strategy for responsible and inclusive AI growth, with ten early actions due by the end of March 2027, delivered through the AI Scotland programme. It builds on the 2021 strategy for trustworthy, ethical and inclusive AI.
Pending review (a factual check against the official source, not a legal review)Official source
A public register of AI systems in use or in development in the Scottish public sector. The government announced in March 2024 that registration would become mandatory, starting with its own departments, but a 2025 freedom-of-information response describes the register as voluntary with an expectation that public bodies use it.
Pending review (a factual check against the official source, not a legal review)Official source
Tamil Nadu Safe and Ethical Artificial Intelligence Policy 2020
Recommends a six-dimension framework (TAM-DEF: transparency and audit, accountability and legal issues, misuse protection, digital divide and data deficit, ethics and fairness, equity) and a DEEP-MAX scorecard for deploying AI in government, with AI procurement guidelines.
Adopted 18 Sep 2020Pending review (a factual check against the official source, not a legal review)Official source
A six-pillar framework for AI in Telangana (data exchange; talent and education; research and innovation; high-performance computing; governance, ethics and privacy; adoption and community), run by the Telangana AI Mission with NASSCOM.
Pending review (a factual check against the official source, not a legal review)Official source
UAE National Strategy for Artificial Intelligence 2031
The UAE National Strategy for AI 2031 aims to position the UAE as a global leader in AI by 2031. It sets objectives across priority sectors, AI talent and research, data and infrastructure, government adoption and governance, including a commitment to AI ethics and to developing appropriate regulation. It is a strategy document that guides government programmes and does not itself impose obligations on private organisations.
Adopted 16 Oct 2017Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
A pro-innovation approach to AI regulation (white paper and government response)
The UK white paper sets out a principles-based, context-specific approach to regulating AI. Instead of a single AI law, it asks existing regulators to interpret and apply five cross-cutting principles within their remits: safety, security and robustness; appropriate transparency and explainability; fairness; accountability and governance; and contestability and redress. Central government provides coordination, monitoring and guidance.
Adopted 29 Mar 2023Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
UN General Assembly resolution A/RES/78/265: Seizing the opportunities of safe, secure and trustworthy artificial intelligence systems for sustainable development (21 March 2024)
The first General Assembly resolution on AI, adopted by consensus with more than 120 co-sponsors, encourages states to promote safe, secure and trustworthy AI systems that respect human rights and advance the Sustainable Development Goals, to close digital divides, and to develop governance frameworks and interoperable safeguards; it calls on companies to act responsibly. It was followed by resolution A/RES/79/325 (August 2025) establishing an Independent International Scientific Panel on AI and a Global Dialogue on AI Governance under the Global Digital Compact.
Adopted 21 Mar 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
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.
