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 8 of 10
National Strategy for Artificial Intelligence
Published in March 2019, the strategy sets a responsible foundation for AI (ethical principles, data ethics council, legal clarity), more and better data, strong competences and new knowledge, and increased investment, with priority sectors of health, energy and utilities, agriculture and transport, and a set of public-sector pilot projects.
Ley para el Fomento de la Inteligencia Artificial y Tecnologías Emergentes (Decreto Legislativo, febrero de 2025)
Approved by the Legislative Assembly in February 2025, the law promotes AI development and investment, creates the National Agency for Artificial Intelligence (ANIA) as regulator, defines rights and principles (human oversight, transparency, non-discrimination, data protection), sets registration and sandbox mechanisms and limits liability of developers who act in good faith under the law, alongside data-processing rules for AI training.
Egypt's first national AI strategy framed AI as a tool for the country's sustainable development goals and for positioning Egypt as an active contributor to AI in Africa and the Arab region. It covered AI for government, development, capacity building and international activities. It has been superseded by the 2025-2030 second edition.
Proyecto de Ley Orgánica de Regulación y Promoción de la Inteligencia Artificial
The draft organic law proposes principles for AI (human-centric, transparency, non-discrimination, safety), a risk-based classification with prohibited and high-risk uses, obligations for developers and deployers, a national AI authority and sanctions, drawing on the EU AI Act and UNESCO recommendation.
National Artificial Intelligence Strategy of the Republic of Cyprus
Approved in January 2020 and updated by an action plan in 2024, the strategy covers research, skills, data and infrastructure, public-sector and business adoption, and ethical, trustworthy AI aligned with the EU framework.
Národní strategie umělé inteligence České republiky 2030
Approved by the government in July 2024, the strategy to 2030 replaces the 2019 strategy and sets priorities on research and innovation, skills, infrastructure and data, industry and public-sector adoption, trustworthy AI and AI Act implementation, with measurable goals and a governance structure.
Nacionalni plan razvoja umjetne inteligencije
The national AI plan sets priorities for research, skills, public-sector and business adoption, data and infrastructure and trustworthy AI in line with the EU coordinated plan and the AI Act.
National Artificial Intelligence Policy of Ethiopia
Approved by the Council of Ministers in 2024, the policy sets objectives for AI research and talent, adoption in agriculture, health, education, security and public services, data governance and infrastructure, and ethical, responsible use, with the Ethiopian AI Institute as implementing body.
Eesti tehisintellekti tegevuskava 2024–2026 (Estonia's national AI action plan)
The third Estonian AI action plan continues the "kratt" programme: adoption of AI in public services and the Bürokratt virtual-assistant ecosystem, support for private-sector use, skills and research, data availability, and preparation for the EU AI Act, including public-sector guidelines on generative AI.
National AI Strategy - Second Edition 2025-2030
The second edition updates Egypt's 2021 strategy for 2025-2030 around six pillars: governance, data, infrastructure, technology, talent and ecosystem. It sets targets for AI specialists, startups and ICT's contribution to GDP, and includes plans for national foundational models and expanded regional and international cooperation.
Estrategia Nacional de Inteligencia Artificial de Costa Rica 2024–2027
Launched in October 2024, the strategy sets pillars on governance and ethics, talent and skills, research and innovation, infrastructure and data, and adoption in the public sector and productive sectors, with an action plan to 2027 informed by UNESCO's Readiness Assessment Methodology.
Stratégie nationale de l'intelligence artificielle de la Côte d'Ivoire
The strategy sets priorities on AI talent and research, adoption in public services, agriculture, health and education, data governance and infrastructure, and ethical use.
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.
Council of Europe Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law (CETS No. 225)
The first international treaty on AI. Parties must adopt or maintain measures so that activities within the lifecycle of AI systems are consistent with human rights, democracy and the rule of law, covering public authorities and actors on their behalf and, by choice of approach, private actors. It sets principles (human dignity and autonomy, transparency and oversight, accountability, equality and non-discrimination, privacy, reliability, safe innovation), requires remedies, procedural safeguards and risk and impact assessment, allows moratoria or bans for incompatible uses, and creates a Conference of the Parties for follow-up. National-security activities and defence are excluded.
Documento CONPES 4144 – Política Nacional de Inteligencia Artificial (CONPES Document 4144 – National Artificial Intelligence Policy)
CONPES 4144, approved on 14 February 2025, is Colombia's national AI policy and roadmap through 2030. It sets objectives on governance and ethics, data and infrastructure, research and talent, and adoption across the public and private sectors, backed by an action plan of more than 100 actions with assigned entities and an indicative budget. The DNP, MinTIC, Minciencias and several line ministries share responsibility for its execution and monitoring.
This State Council policy document (Guofa [2025] No. 11) sets national targets for AI adoption: broad integration in six priority areas and over 70 percent penetration of intelligent terminals and agents by 2027, over 90 percent by 2030, and a fully intelligent economy and society by 2035. It directs actions in science and technology, industry, consumption, public welfare, governance and international cooperation, backed by measures on models, data, computing infrastructure, talent, law and safety. It succeeds the 2017 New Generation AI Development Plan as the current headline national AI strategy.
These measures require providers of AI generation and synthesis services to attach explicit labels (visible text, audio or graphic notices) and implicit labels (embedded metadata) to generated text, images, audio, video and virtual scenes. Platforms distributing content must check for and preserve labels, users must declare AI-generated material, and removing or forging labels is prohibited. Compliance is checked during algorithm filing and security assessments. The measures took effect on 1 September 2025.
The Pan-Canadian AI Strategy is Canada's national AI strategy, first funded in Budget 2017 with $125 million and delivered largely through CIFAR and three national AI institutes. A second phase from 2021 added funding for commercialisation, standards and computing capacity, with further support in the 2024 Fall Economic Statement. It focuses on attracting and retaining researchers, translating research into industry adoption and promoting responsible AI.
Working for Workers Four Act, 2024 (Bill 149): disclosure of artificial intelligence use in publicly advertised job postings
Amends the Employment Standards Act, 2000 to require employers with 25 or more employees to disclose in every publicly advertised job posting whether artificial intelligence is used to screen, assess or select applicants, alongside new rules on salary ranges and Canadian-experience requirements. The AI disclosure requirement is in force from 1 January 2026.
These measures govern generative AI services offered to the public in China, whether producing text, images, audio or video. Providers must use lawfully sourced training data, take steps against discrimination, protect personal information, label generated content, handle user complaints and ensure outputs comply with content rules. Services with public-opinion or social-mobilisation capacity must complete security assessments and algorithm filing. The measures took effect on 15 August 2023.
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