Search and filter source-backed AI laws, regulations, standards, guidance and consultations. Each record shows its status, key dates, verification state and official source.
186 results · page 4 of 10
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.
AI Portugal 2030: Portuguese National Initiative on Digital Skills – Artificial Intelligence strategy
Published in 2019 under the INCoDe.2030 initiative, AI Portugal 2030 sets objectives for research, skills, public administration, industry adoption and international positioning, with priority application areas such as natural language, mobility, energy and health, and a commitment to ethical and trustworthy AI.
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.
Stratégie nationale de l'intelligence artificielle du Sénégal
The strategy sets priorities on AI for public services, agriculture, health and education, talent and research, data and infrastructure, and ethical governance, within the New Technological Deal.
Rwanda's national AI policy sets out six policy areas and fourteen recommendations covering skills and literacy, infrastructure, data, responsible AI governance, public-sector adoption and ecosystem development. It proposes a Responsible AI Office housed in MINICT to drive an implementation plan and monitor progress. Priority sectors include health, agriculture, education, finance and public services.
Sierra Leone National Artificial Intelligence Strategy
The strategy sets priorities on AI in public services, health, agriculture and education, skills and research, data infrastructure and ethical governance.
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.
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.
Algorithm Charter for Aotearoa New Zealand (2020)
Launched in July 2020, the charter commits signatory government agencies to transparency (plain-English explanations of how algorithms are used), partnership with Māori (Te Tiriti), people-focused use, data fit for purpose, privacy, ethics and human rights safeguards, human oversight and channels for challenge, applied through a risk matrix for high-impact algorithms. Around 30 agencies have signed; a 2021 review recommended stronger implementation.
Ley N° 31814 – Ley que promueve el uso de la inteligencia artificial en favor del desarrollo económico y social del país (Law No. 31814 – Law promoting the use of artificial intelligence for the country's economic and social development)
Law 31814, promulgated on 4 July 2023 and published on 5 July 2023, declares AI development of national interest and frames its use within Peru's digital transformation process. It sets principles such as risk-based safety, ethics, transparency and multi-stakeholder participation, and designates the PCM's digital government secretariat as the national AI authority. The law is promotional in character and left detailed obligations to a later regulation.
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.
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.
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.
National AI Strategy for the Philippines (NAIS-PH)
A national AI strategy proposed by DOST at National Innovation Day 2025, structured around five core strategies: infrastructure, workforce, innovation, ethics and policy, and deployment, phased from 2024 to 2028. It includes a national high-performance computing centre, AI micro-credentials and an AI hub linking regional industries to solutions, coordinated with DICT, DepEd, CHED, TESDA, DTI and others. DOST later launched NAICRI as its institutional backbone.
Overheidsbrede visie generatieve AI (Government-wide vision on generative AI)
Adopted in January 2024, the vision sets the government's position on generative AI: a human-centric, safe and fair approach, provisional restrictions on using non-contracted generative AI tools with government data, investment in Dutch and European open models (GPT-NL), and actions on skills, procurement and supervision. It complements the AI Act and the government's AI strategy.
Algoritmeregister van de Nederlandse overheid (Government Algorithm Register)
A public register in which Dutch government organisations describe the algorithms they use that affect citizens: purpose, legal basis, data, human oversight, risks and contact points. Launched in December 2022 and extended since, it aims to make automated decision-making by government transparent and contestable. Ministries were asked to publish all impactful and high-risk algorithms.
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.
The draft strategy sets out Nigeria's vision for AI across five pillars: infrastructure, a thriving AI ecosystem, sectoral adoption, responsible and ethical AI, and governance. It was co-created through a 2024 multi-stakeholder workshop convened by the ministry and includes an implementation roadmap with pilot projects and KPIs. The published document on the NCAIR site is marked as a draft dated August 2024.
Decreto Supremo N° 115-2025-PCM – Reglamento de la Ley N° 31814 (Supreme Decree No. 115-2025-PCM – Regulation of Law No. 31814)
This regulation, published on 9 September 2025, develops Law 31814 with six titles and 36 articles. It introduces a risk classification distinguishing prohibited uses, high-risk systems and acceptable-risk systems, sets transparency, data protection and governance obligations for public and private actors, and provides for sandboxes, capacity-building and reporting channels. Compliance is phased in over one to four years depending on the sector and type of organisation.
Pakistan's first national AI policy, organised around six pillars: innovation ecosystem, awareness and readiness, secure AI, transformation of sectors, AI infrastructure, and international partnerships. It proposes a National AI Fund drawn from Ignite's R&D fund, centres of excellence, venture and innovation funds, regulatory sandboxes and KPIs, with an AI Council to oversee delivery. Targets include large-scale training of AI professionals and funded research projects.
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