Artificial Intelligence Policy Tracker

AI policy explorer

Search and filter source-backed AI laws, regulations, standards, guidance and consultations. Each record shows its status, key dates, verification state and official source.

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134 of 244 instruments match · page 3 of 7

Jordan National strategy Adopted

AI Strategy and Implementation Roadmap 2023–2027

Jordanian Artificial Intelligence Strategy and Implementation Roadmap 2023–2027

Adopted in 2023, the strategy sets priorities on AI governance and ethics, talent and research, adoption in government services and priority sectors, data infrastructure, and international cooperation, with an implementation roadmap and indicators to 2027.

Adopted 1 Aug 2023 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source
Germany National strategy Adopted

AI Strategy of the Federal Government

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.

Adopted 15 Nov 2018 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source
Ireland National strategy Adopted

AI – Here for Good (National AI Strategy)

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.

Adopted 8 Jul 2021 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source
Luxembourg National strategy Adopted

AI: a strategic vision for Luxembourg (2019)

Artificial Intelligence: a strategic vision for Luxembourg

Published in May 2019, the vision positions Luxembourg as a living lab for applied AI with priorities on skills, data and infrastructure, public-sector use, research and trustworthy, human-centric AI.

Adopted 1 May 2019 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source
Austria National strategy Adopted

AIM AT 2030 (AI strategy)

Strategie der Bundesregierung für Künstliche Intelligenz – Artificial Intelligence Mission Austria 2030 (AIM AT 2030)

Adopted in August 2021, AIM AT 2030 sets three objectives: broad use of AI oriented to the common good and fundamental rights, Austria as a research and innovation location, and competitiveness of the Austrian technology and business location. It lists fields of action including trustworthy AI, public administration, skills, data and infrastructure, with an implementation and monitoring structure.

Adopted 25 Aug 2021 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source

ASEAN Guide on AI Governance and Ethics (2024)

ASEAN Guide on AI Governance and Ethics

Endorsed at the 4th ASEAN Digital Ministers' Meeting in February 2024, the guide sets seven guiding principles (transparency and explainability, fairness and equity, security and safety, human-centricity, privacy and data governance, accountability and integrity, robustness and reliability) and a four-part governance framework (internal governance structures, human involvement in decision-making, operations management, stakeholder interaction), with national and regional recommendations including an ASEAN working group on AI governance.

Adopted 2 Feb 2024 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source
Australia Consultation Under consultation

Australian mandatory guardrails proposal

Proposals paper: introducing mandatory guardrails for AI in high-risk settings (Australia)

The proposals paper sought views on ten mandatory guardrails for developers and deployers of AI in high-risk settings, a principles-based definition of high-risk AI (with general-purpose AI treated as high-risk), and three regulatory options: adapting existing laws, framework legislation, or a new cross-economy AI Act. The guardrails mirror the Voluntary AI Safety Standard, covering accountability, risk management, data governance, testing, human control, transparency, contestability, supply-chain transparency, records, and conformity assessment.

Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source
Australia Standard Voluntary standard

Australian Voluntary AI Safety Standard

Voluntary AI Safety Standard (Australia)

The Voluntary AI Safety Standard gives Australian organisations ten guardrails for developing and deploying AI safely and responsibly: accountability and governance, risk management, data governance and protection, testing and monitoring, human control and intervention, user transparency, contestability, supply-chain transparency, record keeping, and stakeholder engagement. The guardrails were designed to align with the mandatory guardrails proposed for high-risk settings so that early adopters would be prepared if those became law.

Adopted 5 Sep 2024 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source
Beijing (China) Policy Adopted

Beijing general AI measures (2023)

Beijing: Several Measures for Promoting the Innovation and Development of General Artificial Intelligence

北京市促进通用人工智能创新发展的若干措施

Twenty-one measures on compute, data, models, application scenarios and an "inclusive and prudent" approach to regulation and ethics for general-purpose AI in Beijing.

Adopted 23 May 2023 Pending review (a factual check against the official source, not a legal review) Official source

Bletchley Declaration (AI Safety Summit 2023)

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.

Adopted 1 Nov 2023 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source
Greece National strategy Adopted

Blueprint for Greece's AI transformation (2024)

A Blueprint for Greece's AI Transformation – report of the AI Advisory Committee

Delivered in November 2024, the Advisory Committee's report proposes a national AI strategy: public-sector AI deployment, AI in health, education and agriculture, sovereign Greek language models, compute, skills, regulatory sandboxes and governance aligned with the EU AI Act.

Adopted 19 Nov 2024 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source
Catalonia (Spain) National strategy Adopted

Catalonia AI Strategy 2030

Catalonia AI Strategy 2030 (Estratègia Catalunya IA 2030)

Estratègia Catalunya IA 2030

A five-year strategy with up to €1 billion and 90 actions across eight areas: infrastructure, talent, research, business adoption, the public sector, ethics, digital society and international projection. It replaces the Catalonia.AI strategy of February 2020.

Pending review (a factual check against the official source, not a legal review) Official source
Jordan Guidance Guidance

Charter of AI Ethics (2022)

Jordanian Charter of Artificial Intelligence Ethics

The charter sets ethical principles for the development and use of AI in Jordan, including human dignity, fairness, transparency, accountability, safety, privacy and sustainability, addressed to public and private organisations.

Adopted 1 Aug 2022 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source
France Guidance Guidance

CNIL AI how-to sheets

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.

Adopted 8 Apr 2024 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source
Kazakhstan National strategy Adopted

Concept for AI development 2024–2029

Концепция развития искусственного интеллекта на 2024–2029 годы

Approved by government decree in July 2024, the concept sets targets for AI infrastructure (supercomputing, data), talent, adoption in the public sector and economy, a national AI platform and regulatory development that led to the 2025 AI law.

Adopted 24 Jul 2024 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source
Bulgaria National strategy Adopted

Concept for the development of AI until 2030

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 2020 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source
Morocco National strategy Adopted

Digital Morocco 2030 (AI pillar)

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 2024 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source
Dubai (United Arab Emirates) National strategy Adopted

Dubai Universal Blueprint for AI

Dubai Universal Blueprint for Artificial Intelligence

An annual plan for AI in Dubai that includes appointing a Chief AI Officer in every government entity and a new commercial licence for AI companies.

Adopted 29 Apr 2024 Pending review (a factual check against the official source, not a legal review) Official source
Serbia Guidance Guidance

Ethical guidelines for trustworthy AI (2023)

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 2023 Verified (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 (2025)

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 2025 Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review) Official source

Frequently asked questions

What counts as an AI policy instrument here?

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.