Search and filter source-backed AI laws, regulations, standards, guidance and consultations. Each record shows its status, key dates, verification state and official source.
244 instruments · page 6 of 13
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.
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.
Algorithm Charter for Aotearoa New Zealand (2020)
Launched in July 2020, the charter commits signatory government agencies to transparency (plain-English explanations of how algorithms are used), partnership with Māori (Te Tiriti), people-focused use, data fit for purpose, privacy, ethics and human rights safeguards, human oversight and channels for challenge, applied through a risk matrix for high-impact algorithms. Around 30 agencies have signed; a 2021 review recommended stronger implementation.
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.
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.
Artificial Intelligence and Data Act (Part 3 of Bill C-27, Digital Charter Implementation Act, 2022)
The Artificial Intelligence and Data Act (AIDA) was proposed as Part 3 of Bill C-27 and would have required organisations designing, developing or deploying high-impact AI systems to assess and mitigate risks of harm and bias, keep records and publish information, with enforcement by an AI and Data Commissioner and penalties for serious offences. The bill passed second reading in the House of Commons in April 2023 and was studied in committee through 2024 but never advanced to report stage. It lapsed when the 44th Parliament ended in early 2025 without the bill being passed.
The AI Basic Plan is the national strategy required under Article 18 of the 2025 AI Act. It sets basic policies and concrete measures across four areas: accelerating AI deployment, strengthening development capabilities, leading AI governance and building an AI-powered society, with the stated ambition of Japan becoming the most AI-friendly country. The first plan was adopted by Cabinet decision in December 2025 and a revised second plan was adopted in July 2026.
The AI Playbook is official guidance for UK public-sector organisations on selecting, buying, building and deploying AI. It sets ten principles covering legality, security, human oversight, transparency and accountability, and explains AI capabilities, limitations and risks in plain terms. It expands and replaces the January 2024 Generative AI Framework for HMG to cover a broader range of AI technologies.
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.
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.
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.
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.
Bhutan National AI Strategy 2025 (NAIS 2025)
A national strategy framed around the vision of AI rooted in Gross National Happiness. It identifies eight focus areas (agriculture and livestock, tourism, green energy, education, health, public service delivery, natural resources and biodiversity, and culture and language) and seven enablers such as infrastructure, governance and regulation, cybersecurity, skills, research, collaboration and funding. It aims to raise Bhutan's AI maturity by the end of the 13th Five Year Plan and includes monitoring, evaluation and risk-mitigation provisions.
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.
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.
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.
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.
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.
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.
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.
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