Search and filter source-backed AI laws, regulations, standards, guidance and consultations. Each record shows its status, key dates, verification state and official source.
Ulusal Yapay Zekâ Stratejisi 2021–2025 (National Artificial Intelligence Strategy)
Published by Presidential Circular in August 2021, the strategy sets six priorities: training AI experts and increasing employment, supporting research and innovation, access to quality data and technical infrastructure, regulations to accelerate socio-economic adaptation, strengthening international cooperation, and accelerating structural and workforce transformation. Its action plan was updated for 2024–2025.
Adopted 20 Aug 2021Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Eesti tehisintellekti tegevuskava 2024–2026 (Estonia's national AI action plan)
The third Estonian AI action plan continues the "kratt" programme: adoption of AI in public services and the Bürokratt virtual-assistant ecosystem, support for private-sector use, skills and research, data availability, and preparation for the EU AI Act, including public-sector guidelines on generative AI.
Adopted 1 Jan 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Estrategia Nacional de Inteligencia Artificial de Costa Rica 2024–2027
Launched in October 2024, the strategy sets pillars on governance and ethics, talent and skills, research and innovation, infrastructure and data, and adoption in the public sector and productive sectors, with an action plan to 2027 informed by UNESCO's Readiness Assessment Methodology.
Adopted 1 Oct 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Strategia Națională în domeniul Inteligenței Artificiale 2024–2027
Approved by government decision in July 2024, the strategy sets objectives on infrastructure and data, research and innovation, skills, public-sector and business adoption, and governance and ethics aligned with the EU AI Act, with an action plan and monitoring indicators.
Adopted 11 Jul 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Lebanon National Artificial Intelligence Strategy 2024–2030
The strategy sets objectives for AI governance and ethics, talent and research, adoption in public services and the economy, and data infrastructure, drawing on UNESCO's readiness assessment.
Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Kuwait National Artificial Intelligence Strategy 2025–2028
The strategy sets objectives on AI in government services, national talent, data and cloud infrastructure, ethical and responsible AI, and partnerships, aligned with Kuwait Vision 2035.
Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Národní strategie umělé inteligence České republiky 2030
Approved by the government in July 2024, the strategy to 2030 replaces the 2019 strategy and sets priorities on research and innovation, skills, infrastructure and data, industry and public-sector adoption, trustworthy AI and AI Act implementation, with measurable goals and a governance structure.
Adopted 24 Jul 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
The strategy to 2030 sets objectives for AI research, skills, data and infrastructure, adoption in public administration and industry, and trustworthy AI aligned with the EU AI Act.
Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)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
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
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
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.
