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 7 of 10
Magyarország Mesterséges Intelligencia Stratégiája 2020–2030
Adopted in September 2020, the strategy sets goals to 2030 on data economy, AI research and education, public-sector and industrial adoption, and transformative programmes such as an AI-driven public administration and language technology, coordinated with the AI Coalition of companies, universities and public bodies.
Artificial Intelligence: Model Personal Data Protection Framework
Published 11 June 2024, the framework gives organisations that procure, implement and use AI systems involving personal data recommendations in four areas: AI strategy and governance (an AI governance committee, procurement due diligence), risk assessment and human oversight (a risk-based approach with levels of human involvement), customisation and implementation of AI models (data preparation, testing, security), and communication and engagement with stakeholders (transparency, explainability, opt-out, feedback). It builds on the 2021 Guidance on the Ethical Development and Use of AI.
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.
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.
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.
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.
Entwurf eines Gesetzes zur Durchführung der KI-Verordnung (KI-Marktüberwachungs- und Innovationsförderungsgesetz, KI-MIG)
The draft implementation act designates the Bundesnetzagentur as the central market-surveillance authority and single point of contact under the EU AI Act, keeps sector regulators (financial supervision, data protection for law-enforcement uses) competent in their fields, sets the national penalty framework within the Regulation's ranges and creates a national AI regulatory sandbox and an AI service desk for companies.
Strategie Künstliche Intelligenz der Bundesregierung (AI Strategy of the Federal Government, 2018, updated 2020)
The federal AI strategy, adopted in November 2018 and updated in December 2020, sets out how Germany intends to make AI research, transfer and use competitive while anchoring AI in fundamental rights and the common good. The 2020 update raised planned federal funding to around EUR 5 billion to 2025 and added priorities on pandemic response, sustainability, health, mobility and AI in the public sector. It commits to a European approach to AI regulation and to trustworthy-AI standards.
CNIL recommendations on the development of AI systems and the GDPR (AI how-to sheets)
A series of practical guidance sheets, first published in 2024 and extended since, explaining how organisations can develop and train AI systems in compliance with the GDPR: defining a purpose, choosing a legal basis (including legitimate interest for web-scraped training data), data minimisation, retention, data-protection impact assessments, informing people and honouring their rights, and security of training datasets and models.
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.
The Apply AI Strategy is a Commission communication that sets out how the EU intends to speed up use of AI across ten strategic sectors (such as healthcare, manufacturing, energy, mobility and defence) and in public administration. It combines sectoral flagship initiatives with cross-cutting support such as AI Factories, testing facilities and skills measures, and creates an Apply AI Alliance to coordinate industry, academia and public bodies. It sits within the broader AI Continent Action Plan and was presented together with a companion AI in Science strategy.
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.
Estrategia Nacional de Inteligencia Artificial de la República Dominicana (ENIA)
Adopted in 2023, ENIA sets objectives on ethical and responsible AI, talent development, AI in public services and priority sectors (health, education, tourism, security), data infrastructure and research, with a governance committee and action plan.
Regulation (EU) 2024/1689 — Artificial Intelligence Act
The EU AI Act is a binding regulation that sets rules for developing, placing on the market and using AI systems in the European Union. It bans a small set of practices considered unacceptable, imposes detailed requirements on "high-risk" AI systems used in areas such as employment, education, credit, essential services, law enforcement and safety-critical products, requires transparency for chatbots and synthetic content, and creates separate duties for providers of general-purpose AI models. Obligations apply in phases between 2025 and 2027.
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