Search and filter source-backed AI laws, regulations, standards, guidance and consultations. Each record shows its status, key dates, verification state and official source.
The ICO's guidance explains how UK GDPR and the Data Protection Act 2018 apply when organisations develop or use AI that processes personal data. It covers accountability and governance, lawfulness and fairness, transparency, data minimisation, security, individual rights, and automated decision-making. The guidance is not itself law, but it reflects how the regulator interprets binding obligations and is the reference point in ICO enforcement.
Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
The India AI Governance Guidelines set out a principle-based, pro-innovation approach to governing AI in India. They articulate guiding principles (such as trust, people-first design, fairness, accountability, safety and transparency), propose an institutional framework including an AI governance group and an AI Safety Institute role, favour applying existing laws over a new AI statute, and recommend voluntary commitments, techno-legal measures, risk-based oversight and incident reporting for AI systems.
Adopted 5 Nov 2025Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
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 2020Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Strategia Italiana per l'Intelligenza Artificiale 2024-2026
The 2024–2026 strategy, drafted by an expert committee for the Department for Digital Transformation and published in July 2024, organises action around research, public administration, enterprises and training, with a foundation-model and compute agenda, an AI foundation to coordinate delivery and a monitoring framework.
Adopted 22 Jul 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
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 2019Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
An investment and adoption policy that targets about ₹10,000 crore of investment and 1.5 lakh jobs by 2031, with a Maharashtra AI Mission, an AI-adoption subsidy for MSMEs, an AI start-up venture fund, incubators, centres of excellence and AI innovation cities.
Pending review (a factual check against the official source, not a legal review)Official source
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 2019Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
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 2018Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Stratégie nationale d'intelligence artificielle et des mégadonnées 2023–2027
Adopted by the Council of Ministers in January 2023, the strategy sets objectives for AI and big-data skills, research, data infrastructure and governance, ethical AI and priority use cases in health, education, agriculture, tourism and living environment, with a 2027 horizon.
Adopted 25 Jan 2023Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
National Artificial Intelligence Policy of Ethiopia
Approved by the Council of Ministers in 2024, the policy sets objectives for AI research and talent, adoption in agriculture, health, education, security and public services, data governance and infrastructure, and ethical, responsible use, with the Ethiopian AI Institute as implementing body.
Adopted 1 Jun 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
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.
Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
The policy sets a framework for responsible AI adoption in government, agriculture, health, mining and education, skills and research, data governance and ethics.
Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
A national AI policy under development following the Fourth Industrial Revolution task-force report, covering governance, skills, public-sector use and data.
Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
National Artificial Intelligence Policy Framework (AI Task Force report)
The task force report proposes a national AI policy with principles for responsible AI, a governance structure, skills and research programmes, public-sector use cases and sector priorities.
Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)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.
Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Nacionalni program spodbujanja razvoja in uporabe umetne inteligence v Republiki Sloveniji do leta 2025
Adopted in May 2021, the programme sets measures on research and innovation, skills, data and infrastructure, public-sector and business adoption, ethics and trustworthy AI, and international cooperation, including support for the UNESCO IRCAI centre.
Adopted 27 May 2021Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Stratégie nationale pour l'intelligence artificielle (National AI Strategy, phases 1–3, 2018–2025)
Launched in March 2018 following the Villani report, the national AI strategy funds research institutes (3IA then AI clusters), talent, compute and business adoption. The second phase (2021) focused on training and diffusion into the economy; the third phase (2024–2025) emphasises sovereign generative-AI models, compute and public-sector use, and framed France's hosting of the AI Action Summit in February 2025.
Adopted 29 Mar 2018Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
National Artificial Intelligence Strategy of the Republic of Cyprus
Approved in January 2020 and updated by an action plan in 2024, the strategy covers research, skills, data and infrastructure, public-sector and business adoption, and ethical, trustworthy AI aligned with the EU framework.
Adopted 15 Jan 2020Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Estrategia para el desarrollo y uso de la inteligencia artificial en Cuba
The strategy sets principles for the ethical development and use of AI in Cuba, priorities for public administration, health and education, and a governance structure led by the Ministry of Communications.
Verified (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.
