Search and filter source-backed AI laws, regulations, standards, guidance and consultations. Each record shows its status, key dates, verification state and official source.
A concept paper prepared by a ministry-appointed committee that surveys the state of AI use in Nepal, its opportunities and risks, and the gaps in existing law and infrastructure. It recommends formulating a national AI policy and strategy, addressing data protection, privacy and cybersecurity, and building governance structures. The paper was published for public suggestions and is cited in the 2025 policy as its precursor.
Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
A continental framework that guides AU member states on harnessing AI for development while managing risks. It is organised around five focus areas: capturing AI benefits, building capabilities, minimising risks, stimulating investment, and fostering cooperation. It is non-binding and intended to inform national strategies and regional harmonisation.
Adopted 18 Jul 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
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 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Documento CONPES 4144 – Política Nacional de Inteligencia Artificial (CONPES Document 4144 – National Artificial Intelligence Policy)
CONPES 4144, approved on 14 February 2025, is Colombia's national AI policy and roadmap through 2030. It sets objectives on governance and ethics, data and infrastructure, research and talent, and adoption across the public and private sectors, backed by an action plan of more than 100 actions with assigned entities and an indicative budget. The DNP, MinTIC, Minciencias and several line ministries share responsibility for its execution and monitoring.
Adopted 14 Feb 2025Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Draft South Africa National Artificial Intelligence (AI) Policy
Approved by Cabinet in March/April 2026 and gazetted for a 60-day comment period, the draft policy proposed guiding principles, institutional arrangements and implementation pathways for AI across the public and private sectors, building on the department's 2024 National AI Policy Framework. The Minister announced its withdrawal on 26 April 2026 after fictitious citations were found in its reference list, and the withdrawal was formally gazetted in June 2026.
Adopted 10 Apr 2026Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Egypt's first national AI strategy framed AI as a tool for the country's sustainable development goals and for positioning Egypt as an active contributor to AI in Africa and the Arab region. It covered AI for government, development, capacity building and international activities. It has been superseded by the 2025-2030 second edition.
Adopted 1 Jul 2021Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Estrategia Nacional de Inteligencia Artificial del Uruguay 2024-2030 (National Artificial Intelligence Strategy of Uruguay 2024-2030)
Uruguay's 2024-2030 strategy was approved on 21 November 2024 by the public-sector Strategic Committee for AI and Data after a participatory process involving more than 300 people from state bodies, civil society and the private sector, with technical support from CAF and UNESCO. It sets guiding principles and three objectives: governance and safeguards for ethical and safe AI, national capabilities in infrastructure, data and talent, and use of AI for sustainable development and better public services. A roadmap with goals and semi-annual reporting accompanies the strategy.
Adopted 21 Nov 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Етичке смернице за развој, примену и употребу поуздане и одговорне вештачке интелигенције
Adopted in March 2023, the guidelines set principles and requirements for trustworthy and responsible AI in Serbia (human agency, safety, privacy, transparency, non-discrimination, societal well-being, accountability), with self-assessment questions for developers and users, drawing on the EU ethics guidelines and the UNESCO recommendation.
Adopted 23 Mar 2023Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Expanded ASEAN Guide on AI Governance and Ethics – Generative AI
Endorsed in January 2025, the expanded guide addresses risks specific to generative AI (hallucination, deepfakes and misinformation, intellectual property, privacy, security, bias, embedded values) and proposes governance dimensions covering accountability, data, development and deployment, incident reporting, testing and assurance, security, content provenance, safety research and public-interest use, with policy recommendations for member states.
Adopted 17 Jan 2025Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Federal Council decision on the regulation of artificial intelligence: ratification of the Council of Europe Convention and sector-specific adjustments
On 12 February 2025 the Federal Council decided how Switzerland will regulate AI: it will ratify the Council of Europe Framework Convention on AI and implement it mainly through targeted changes to existing law where needed (for example transparency, data protection and non-discrimination), avoid a horizontal AI act, and complement legislation with non-binding measures such as self-regulation and agreements with industry. Federal departments were tasked to prepare a consultation draft by the end of 2026.
Adopted 12 Feb 2025Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Finland's Age of Artificial Intelligence: Turning Finland into a leading country in the application of AI (objective and recommendations for measures)
The 2017 report of the steering group appointed by the Minister of Economic Affairs proposed eight key actions to make Finland a leader in applying AI: enhancing business competitiveness, using data in all sectors, faster adoption, top-level expertise and talent, bold decisions and investments, the best public services, new cooperation models and a human-centred approach. It launched the national AI programme continued in the 2019 final report and the AI 4.0 programme.
Adopted 23 Oct 2017Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
The Flemish government's AI programme, funding research, business adoption through VLAIO, and awareness, training and ethics. The first plan (2019) had about €32 million a year; a second cycle for 2024-2028 was approved in 2024.
Adopted 22 Mar 2019Pending review (a factual check against the official source, not a legal review)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 2023Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
A binding policy for Bahraini government entities structured around four pillars: compliance with AI-related laws and policies (including the Personal Data Protection Law and the GCC AI ethics guide), use and adoption of AI technologies, awareness and education, and local and international cooperation. It defines roles and responsibilities for entities and assigns oversight to iGA. Alongside the policy, Bahrain adopted the GCC Guiding Manual on the Ethics of AI Use.
Adopted 27 Jul 2025Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Hong Kong Generative Artificial Intelligence Technical and Application Guideline
Published in April 2025, the guideline covers the technical characteristics and risks of generative AI, governance principles (safety, transparency, accountability, data protection, fairness) and practical application guidance for developers, service providers and users across the AI lifecycle, and is intended as a reference for industry and government.
Adopted 15 Apr 2025Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Ghana National Artificial Intelligence Strategy (2025-2035)
A ten-year national roadmap launched by President Mahama that treats data as a national asset and sets out pillars covering education and skills, infrastructure and compute, data governance, ecosystem development, sector adoption, applied research and public-sector AI. It proposes a National AI Fund and performance indicators for ministries, and emphasises localisation of AI for Ghanaian languages.
Adopted 24 Apr 2026Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
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.
Adopted 21 Dec 2022Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
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.
Adopted 18 Jan 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Adopted in November 2020, seven guidelines steer the use of AI by the federal administration: putting people at the centre, conditions for development and use, transparency and explainability, accountability, security, active participation in AI governance, and involvement of stakeholders.
Adopted 25 Nov 2020Verified (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.
