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 6 of 10
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.
Artificial Intelligence (AI) Governance Bill (proposed)
A proposed horizontal AI law announced for stakeholder engagement and public consultation by the Ministry of Digital through the National AI Office. It takes a risk-based approach across the AI lifecycle, assigns responsibilities according to actors' roles, and is intended to complement existing laws rather than regulate AI outputs directly. It encourages incident reporting, safeguards and sandboxes, and the government aims to table it in Parliament.
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.
National Artificial Intelligence Roadmap 2021-2025 (AI-Rmap)
Malaysia's five-year AI roadmap developed by MOSTI through a quadruple-helix consultation. It sets strategic thrusts on governance, R&D, infrastructure, talent and adoption, and identifies national use cases in five priority sectors: agriculture and forestry, healthcare, smart cities and transport, education and public services. It is guided by responsible AI principles including fairness, transparency, accountability and privacy.
The National Guidelines on AI Governance & Ethics (AIGE)
Voluntary national guidelines that set out seven principles for responsible AI: fairness; reliability, safety and control; privacy and security; inclusiveness; transparency; accountability; and human-centricity. They give tailored guidance to end users, policymakers and AI developers and are meant to build public trust and reduce ethical risks while supporting adoption.
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.
Plan Nacional de Inteligencia Artificial (National Artificial Intelligence Plan)
Mexico's National AI Plan, prepared by the ATDT and presented in April 2026, organises federal AI efforts around three pillars: an ethical and legal framework, talent and public software, and strategic compute infrastructure. It includes a public AI training centre aiming to certify tens of thousands of people, a government 'Fábrica de IA' developing solutions for public services, and the Coatlicue supercomputer, with 2026 milestones and 2030 targets for citizen-facing AI services.
Iniciativa con proyecto de decreto por el que se expide la Ley Federal para el Desarrollo Ético, Soberano e Inclusivo de la Inteligencia Artificial (Initiative to enact the Federal Law for the Ethical, Sovereign and Inclusive Development of Artificial…
This initiative, signed by a bloc of Morena and PVEM deputies and published in the Gaceta Parlamentaria on 30 April 2025, would create Mexico's first general federal AI law. It proposes principles of legality, transparency, human oversight and precaution, a risk 'traffic light' classification with prohibited uses, a National AI Council and an algorithmic audit platform. It was referred to committee and remains under consideration in Congress.
Israel's Policy on Artificial Intelligence Regulation and Ethics
Adopted in December 2023 after public consultation, the policy sets Israel's approach: sector-specific regulation by existing regulators, a risk-based approach, preference for soft tools (standards, self-regulation, sandboxes) over binding rules at this stage, alignment with OECD principles, and common ethical principles (growth and sustainable development, human-centricity, equality, transparency, safety, accountability, privacy). It establishes an AI policy coordination centre and an expert advisory forum.
AI – Here for Good: National Artificial Intelligence Strategy for Ireland (2021, refreshed 2024)
Ireland's national AI strategy, first published in July 2021 and refreshed in November 2024 to reflect the EU AI Act and generative AI, is organised around building public trust, leveraging AI for economic and societal benefit, and enablers such as data, infrastructure, skills and governance. The refresh sets out Ireland's AI Act implementation model, public-sector AI guidelines and an AI advisory council.
Surat Edaran Menteri Komunikasi dan Informatika Nomor 9 Tahun 2023 tentang Etika Kecerdasan Artifisial (Circular Letter No. 9 of 2023 on AI Ethics)
A ministerial circular that lays out ethical values for developing and using AI, such as inclusivity, humanity, security, accessibility, transparency, accountability, personal data protection, sustainability and respect for intellectual property. It applies to AI-related businesses and to public and private electronic system operators in Indonesia. It is soft-law guidance intended as a basis for future regulation.
Strategi Nasional Kecerdasan Artifisial Indonesia 2020-2045 (National Strategy for Artificial Intelligence)
Indonesia's long-range national AI strategy, prepared by a BPPT-led multi-stakeholder working group. It covers ethics and policy, talent, infrastructure and data, research and industry innovation, and names five priority areas: health, bureaucratic reform, education and research, food security, and mobility and smart cities. It includes quick wins and a phased implementation roadmap through 2045.
Rancangan Peraturan Presiden tentang Peta Jalan Kecerdasan Artifisial Nasional 2026-2029 (Draft Presidential Regulation on the National AI Roadmap)
A draft presidential regulation, prepared under Presidential Decree No. 38 of 2025, that would establish a binding national AI roadmap for 2026-2029 alongside a companion draft regulation on AI ethics. Inter-ministerial discussion agreed four policy directions: stakeholder engagement, innovation, technology and research capability, and risk mitigation. Cross-ministry deliberations concluded in May 2026 and both drafts were submitted to the President for enactment.
National Strategy for Artificial Intelligence (#AIforAll)
A discussion paper that set out India's first national approach to artificial intelligence. It prioritises five sectors (healthcare, agriculture, education, smart cities and infrastructure, and smart mobility) and proposes research institutions, data ecosystems and skilling measures to support adoption. It also flags privacy, fairness and explainability as issues needing attention and recommends institutional structures for responsible AI.
A five-year national programme approved by the Union Cabinet with an outlay of about INR 10,372 crore. It funds shared public AI compute (10,000+ GPUs), an innovation centre for indigenous foundation models, a datasets platform, application development for public problems, skilling programmes, startup financing and work on safe and trusted AI. Implementation is handled by the IndiaAI division of Digital India Corporation.
Rome Call for AI Ethics (Pontifical Academy for Life, 28 February 2020)
A declaration of six principles for the ethical development of AI (transparency, inclusion, responsibility, impartiality, reliability, security and privacy), first signed in February 2020 by the Pontifical Academy for Life, Microsoft, IBM, FAO and the Italian government, and since joined by other religious leaders, universities and companies. It calls for "algor-ethics" and human-centred design and is used as a reference in faith-based and corporate AI ethics commitments.
Νόμος 4961/2022: Αναδυόμενες τεχνολογίες πληροφορικής και επικοινωνιών, ενίσχυση της ψηφιακής διακυβέρνησης και άλλες διατάξεις
Law 4961/2022, published in July 2022, contains a chapter on artificial intelligence: public-sector bodies must carry out an algorithmic impact assessment and publish information before deploying AI systems that affect people, keep a register of AI systems, and ensure the Hellenic Data Protection Authority's oversight; medium and large private companies must inform workers about AI systems used in employment decisions and maintain an ethical-use policy. It also regulates IoT, 3D printing, blockchain and unmanned aircraft.
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.
Digital Personal Data Protection Act, 2023 and DPDP Rules, 2025
The DPDP Act is India's cross-sector personal-data law. It applies to digital personal data processed in India and to processing outside India connected with offering goods or services to people in India. It requires a lawful basis (consent or specified legitimate uses), notice, purpose limitation, data accuracy, security safeguards, breach notification to the Data Protection Board and affected individuals, and grants rights of access, correction, erasure and grievance redress. Significant Data Fiduciaries face extra duties such as impact assessments and audits. The Act does not mention AI specifically, but it governs the personal data used to train and operate AI systems.
India AI Governance Guidelines (MeitY, 2025)
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.
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