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 2025
Source-linked
Official source
National Programme for Artificial Intelligence and Advanced Digital Technologies; AI policy for government entities
The programme sets AI adoption goals for government and priority sectors, talent and research initiatives and an AI policy with ethical principles and governance requirements for government entities.
Source-linked · checked 11 Sep 2026
Official source
Paraguay
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Policy
Adopted
Política Nacional de Inteligencia Artificial del Paraguay
Presented in 2024, the policy sets objectives on ethical and human-centred AI, capacity building, public-sector adoption, data and infrastructure, and research, aligned with the UNESCO recommendation.
Source-linked · checked 11 Sep 2026
Official source
Norway
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National strategy
Adopted
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 2020
Source-linked · checked 11 Sep 2026
Official source
Panama
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National strategy
Proposed
Estrategia Nacional de Inteligencia Artificial de Panamá
Panama has been developing a national AI strategy with UNESCO support, covering governance and ethics, public-sector adoption, talent, data infrastructure and the logistics and financial sectors.
Source-linked · checked 11 Sep 2026
Official source
New Zealand
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National strategy
Adopted
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 2025
Source-linked · checked 11 Sep 2026
Official source
Morocco
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National strategy
Adopted
Maroc Digital 2030: national digital strategy with an artificial intelligence pillar
Launched in September 2024, Digital Morocco 2030 sets targets for digital public services, the digital economy and talent, with an AI component covering a national AI centre, sovereign compute and data, sector use cases and governance, and announces a national AI strategy and legal framework.
Adopted 25 Sep 2024
Source-linked · checked 11 Sep 2026
Official source
Mongolia
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National strategy
Adopted
Mongolia National Artificial Intelligence Strategy
The strategy sets goals for AI in public services, the economy, education and research, data and infrastructure, and ethical AI governance.
Source-linked · checked 11 Sep 2026
Official source
Lebanon
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National strategy
Adopted
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.
Source-linked · checked 11 Sep 2026
Official source
Namibia
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Policy
Proposed
Namibia National Artificial Intelligence Policy
A national AI policy under development following the Fourth Industrial Revolution task-force report, covering governance, skills, public-sector use and data.
Source-linked · checked 11 Sep 2026
Official source
Latvia
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National strategy
Adopted
Informatīvais ziņojums "Par mākslīgā intelekta risinājumu attīstību"
The 2020 informational report approved by the Cabinet sets Latvia's direction on AI: public-sector use cases, data availability, skills, research and ethical principles, later carried into the Digital Transformation Guidelines 2021–2027.
Adopted 1 Feb 2020
Source-linked · checked 11 Sep 2026
Official source
Mauritius
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National strategy
Adopted
Mauritius Artificial Intelligence Strategy
Published in November 2018, the strategy identifies AI applications in manufacturing, health, fintech, agriculture, ocean economy and public services, proposes a Mauritius AI Council, skills programmes and data policies, and addresses ethics and regulation.
Adopted 1 Nov 2018
Source-linked · checked 11 Sep 2026
Official source
Lithuania
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National strategy
Adopted
Lithuanian Artificial Intelligence Strategy: A vision of the future
Published in 2019, the strategy sets a vision for AI in Lithuania across research, industry, public sector, skills and ethics, and proposes a coordination structure and funding measures.
Adopted 1 Apr 2019
Source-linked · checked 11 Sep 2026
Official source
Luxembourg
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National strategy
Adopted
Artificial Intelligence: a strategic vision for Luxembourg
Published in May 2019, the vision positions Luxembourg as a living lab for applied AI with priorities on skills, data and infrastructure, public-sector use, research and trustworthy, human-centric AI.
Adopted 1 May 2019
Source-linked · checked 11 Sep 2026
Official source
Malta
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National strategy
Adopted
Malta: The Ultimate AI Launchpad – A Strategy and Vision for Artificial Intelligence in Malta 2030
Launched in October 2019, the strategy sets three pillars (investment and adoption, public-sector adoption, private-sector adoption) and enablers (education, legal and ethical framework, ecosystem infrastructure), including an ethical AI framework and the MDIA's voluntary AI certification.
Adopted 1 Oct 2019
Source-linked · checked 11 Sep 2026
Official source
Nepal
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Act / statute
In force
Binding
Individual Privacy Act, 2075 (2018) — Nepal
The Individual Privacy Act 2075 gives effect to the constitutional right to privacy in Nepal. It regulates the collection, storage, processing, use and disclosure of personal information by public bodies and private entities, requires consent for collection and use of personal data subject to exceptions, restricts sensitive data, and provides remedies and penalties. It is the main binding law affecting AI systems that process personal data in Nepal. The Individual Privacy Regulation 2077 (2020) provides implementing rules.
In force 18 Sep 2018
Source-linked
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 2024
Source-linked · checked 11 Sep 2026
Official source
ISO/IEC 42001:2023 Information technology – Artificial intelligence – Management system
The first certifiable management-system standard for AI. It specifies requirements for establishing, implementing, maintaining and improving an AI management system within an organisation: context and leadership, AI policy, risk and impact assessment, objectives, resources and competence, operational controls across the AI lifecycle, performance evaluation and improvement, with Annex A controls on data, transparency, human oversight, third parties and responsible use. Certification is voluntary but increasingly requested in procurement; regulators reference it as evidence of governance.
Adopted 18 Dec 2023
Source-linked · checked 11 Sep 2026
Official source
Hiroshima Process International Code of Conduct for Organizations Developing Advanced AI Systems (G7, 30 October 2023)
Eleven voluntary actions for organisations developing the most advanced AI systems, including foundation and generative models: risk identification and mitigation across the lifecycle, post-deployment vulnerability and incident monitoring, public transparency reports, responsible information sharing, security controls, content authentication such as watermarking, research on societal risks, priority to global challenges, technical standards, and data-input and personal-data safeguards. It sits alongside the Hiroshima Process guiding principles and, from 2025, an OECD-run voluntary reporting framework.
Adopted 30 Oct 2023
Source-linked · checked 11 Sep 2026
Official source
The Bletchley Declaration by countries attending the AI Safety Summit, 1–2 November 2023
Signed by countries including the United States, China, the EU, India, Japan and Brazil, the declaration recognises the opportunities of AI and the risks of frontier models, commits signatories to cooperate on identifying AI safety risks and building risk-based policies, and launched the summit series continued in Seoul (2024) and Paris (2025) and the network of AI safety institutes.
Adopted 1 Nov 2023
Source-linked · checked 11 Sep 2026
Official source