Search and filter source-backed AI laws, regulations, standards, guidance and consultations. Each record shows its status, key dates, verification state and official source.
Концепция за развитието на изкуствения интелект в България до 2030 г.
Adopted in December 2020, the concept sets a framework for AI in Bulgaria to 2030 in line with the EU coordinated plan: research and infrastructure, skills, data, adoption in business and public administration, and trustworthy, ethical AI.
Adopted 16 Dec 2020Verified (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
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
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
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
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
Hong Kong Ethical Artificial Intelligence Framework (Digital Policy Office)
Guiding principles, leading practices and an AI assessment for government AI projects, with a three-line governance model in which the IT board or chief information officer reviews high-risk AI. It was updated for generative AI.
Pending review (a factual check against the official source, not a legal review)Official source
Methodology for the Risk and Impact Assessment of Artificial Intelligence Systems from the Point of View of Human Rights, Democracy and the Rule of Law (HUDERIA)
Adopted by the CAI in November 2024, HUDERIA is a structured methodology for assessing risks and impacts of AI systems on human rights, democracy and the rule of law across the lifecycle: context-based risk analysis, stakeholder engagement, risk and impact assessment, and mitigation planning with iterative review. It supports implementation of the Framework Convention and can be used by public and private organisations.
Adopted 28 Nov 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)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
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.
