Search and filter source-backed AI laws, regulations, standards, guidance and consultations. Each record shows its status, key dates, verification state and official source.
National Strategy for Artificial Intelligence (#AIforAll)
A discussion paper that set out India's first national approach to artificial intelligence. It prioritises five sectors (healthcare, agriculture, education, smart cities and infrastructure, and smart mobility) and proposes research institutions, data ecosystems and skilling measures to support adoption. It also flags privacy, fairness and explainability as issues needing attention and recommends institutional structures for responsible AI.
Adopted 1 Jun 2018Verified (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
The national strategy, approved by royal decision in July 2020, sets an ambition for Saudi Arabia to be among the leading data- and AI-driven economies through phased milestones to 2030. It targets talent development, welcoming regulation, investment attraction, research and an active ecosystem, with measurable goals such as training data and AI specialists, attracting investment and creating startups.
Adopted 17 Jul 2020Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
National Strategy on Research, Development and Application of Artificial Intelligence to 2030 (Decision No. 127/QD-TTg)
A prime ministerial decision promulgating Vietnam's national AI strategy to 2030. It targets a top-four ASEAN and top-50 global position in AI, three national big data and high-performance computing centres, national innovation centres for AI and open datasets across sectors. It directs work on a legal framework, infrastructure, talent and application of AI in government and industry, with the Ministry of Science and Technology coordinating.
Adopted 26 Jan 2021Verified (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
This State Council policy document (Guofa [2025] No. 11) sets national targets for AI adoption: broad integration in six priority areas and over 70 percent penetration of intelligent terminals and agents by 2027, over 90 percent by 2030, and a fully intelligent economy and society by 2035. It directs actions in science and technology, industry, consumption, public welfare, governance and international cooperation, backed by measures on models, data, computing infrastructure, talent, law and safety. It succeeds the 2017 New Generation AI Development Plan as the current headline national AI strategy.
Adopted 26 Aug 2025Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
The Pan-Canadian AI Strategy is Canada's national AI strategy, first funded in Budget 2017 with $125 million and delivered largely through CIFAR and three national AI institutes. A second phase from 2021 added funding for commercialisation, standards and computing capacity, with further support in the 2024 Fall Economic Statement. It focuses on attracting and retaining researchers, translating research into industry adoption and promoting responsible AI.
Adopted 22 Mar 2017Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Artificial Intelligence: Model Personal Data Protection Framework
Published 11 June 2024, the framework gives organisations that procure, implement and use AI systems involving personal data recommendations in four areas: AI strategy and governance (an AI governance committee, procurement due diligence), risk assessment and human oversight (a risk-based approach with levels of human involvement), customisation and implementation of AI models (data preparation, testing, security), and communication and engagement with stakeholders (transparency, explainability, opt-out, feedback). It builds on the 2021 Guidance on the Ethical Development and Use of AI.
Adopted 11 Jun 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
PDPC Advisory Guidelines on Use of Personal Data in AI Recommendation and Decision Systems
These advisory guidelines explain how the Personal Data Protection Act applies when organisations use personal data to develop, test and deploy AI systems that make recommendations, predictions or decisions. They clarify the consent obligation and relevant exceptions (business improvement and research), what to include in notifications to individuals, accountability practices such as documenting data provenance and model development, and expectations for service providers building bespoke AI systems.
Adopted 1 Mar 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Plan Nacional de Inteligencia Artificial (National Artificial Intelligence Plan)
Mexico's National AI Plan, prepared by the ATDT and presented in April 2026, organises federal AI efforts around three pillars: an ethical and legal framework, talent and public software, and strategic compute infrastructure. It includes a public AI training centre aiming to certify tens of thousands of people, a government 'Fábrica de IA' developing solutions for public services, and the Coatlicue supercomputer, with 2026 milestones and 2030 targets for citizen-facing AI services.
Adopted 1 Apr 2026Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Plano Brasileiro de Inteligência Artificial 2024-2028 – PBIA (Brazilian Artificial Intelligence Plan 2024-2028)
The PBIA is a four-year national plan that commits around R$23 billion to AI infrastructure, skills, public-sector applications, business innovation and governance. Headline measures include acquiring a top-tier supercomputer powered by renewable energy, developing Portuguese-language models, and short-term actions in health, education, agriculture and public services. The proposal was presented at the 5th National Conference on Science, Technology and Innovation and formally approved by the CCT through Resolução CCT nº 4/2024, with a final version later published under MCTI coordination.
Verified (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
Política Nacional de Inteligencia Artificial – Actualización 2024 y Plan de Acción (National Artificial Intelligence Policy – 2024 Update and Action Plan)
Chile updated its 2021 National AI Policy in 2024, keeping the ten-year horizon to 2031 but reorienting it around ethics, governance and inclusion after a participatory process across the country's regions. The accompanying action plan lists 177 initiatives coordinated by 14 ministries under axes covering enabling factors, development and adoption, and governance and ethics, with periodic progress reporting. The update was presented on 2 May 2024 together with the announcement of a government bill to regulate AI systems.
Adopted 2 May 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Projeto de Lei nº 2338/2023 – Dispõe sobre o uso da Inteligência Artificial (Bill No. 2338/2023 – On the use of Artificial Intelligence)
PL 2338/2023 is Brazil's flagship AI bill, introduced in the Senate in May 2023 and approved by the Senate plenary on 10 December 2024 after extensive amendment. It classifies AI systems by risk, bans certain uses, sets obligations for developers and deployers of high-risk systems, and provides for rights of affected persons and a national governance system. The Senate transmitted the text to the Chamber of Deputies on 17 March 2025, where a special committee is examining it.
Adopted 3 May 2023Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Proyecto de ley que regula los sistemas de inteligencia artificial, Boletín 16821-19 (Bill regulating artificial intelligence systems, Bulletin 16821-19)
Introduced by presidential message in May 2024 and merged with an earlier parliamentary motion (Boletín 15869-19), the bill classifies AI system uses into unacceptable, high, limited and no-evident-risk categories, prohibits certain practices, and sets obligations, incident reporting and sanctions. It creates a Technical Advisory Council on AI to advise MinCiencia and proposes periodic review of the law. The Chamber of Deputies approved the text in October 2025 and it is now in second constitutional stage before the Senate's Future Challenges, Science, Technology and Innovation Committee.
Adopted 7 May 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.
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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.
