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 3 of 10
National Strategy on Artificial Intelligence for Sri Lanka
The strategy sets priorities on AI skills and research, public-sector and industry adoption, data and compute infrastructure, and responsible-AI governance, with a national AI centre and implementation task force.
Draft South Africa National Artificial Intelligence (AI) Policy
Approved by Cabinet in March/April 2026 and gazetted for a 60-day comment period, the draft policy proposed guiding principles, institutional arrangements and implementation pathways for AI across the public and private sectors, building on the department's 2024 National AI Policy Framework. The Minister announced its withdrawal on 26 April 2026 after fictitious citations were found in its reference list, and the withdrawal was formally gazetted in June 2026.
Nacionalni program spodbujanja razvoja in uporabe umetne inteligence v Republiki Sloveniji do leta 2025
Adopted in May 2021, the programme sets measures on research and innovation, skills, data and infrastructure, public-sector and business adoption, ethics and trustworthy AI, and international cooperation, including support for the UNESCO IRCAI centre.
Národná stratégia pre umelú inteligenciu 2030
The strategy to 2030 sets objectives for AI research, skills, data and infrastructure, adoption in public administration and industry, and trustworthy AI aligned with the EU AI Act.
Real Decreto 817/2023, de 8 de noviembre, que establece un entorno controlado de pruebas para el ensayo del cumplimiento de la propuesta de Reglamento de IA
Establishes Spain's controlled testing environment (sandbox) for providers of high-risk AI systems to test compliance with the then-proposed EU AI Act requirements: risk management, data governance, documentation, transparency, human oversight, accuracy and robustness. Participation is voluntary; participants receive guidance and produce documentation that feeds into national implementation.
Model AI Governance Framework (Second Edition) and Model AI Governance Framework for Generative AI
Singapore's Model AI Governance Framework is a voluntary, sector-agnostic guide for organisations deploying AI. The second edition (January 2020) covers four areas: internal governance structures and measures, determining the level of human involvement in AI-augmented decision-making, operations management (data, model development, monitoring), and stakeholder interaction and communication. The May 2024 Model AI Governance Framework for Generative AI extends it with nine dimensions including accountability, data, trusted development and deployment, incident reporting, testing and assurance, security, content provenance, safety and alignment research, and AI for the public good.
Framework Act on the Development of Artificial Intelligence and Establishment of a Foundation for Trust (AI Basic Act, Act No. 20676)
Korea's AI Basic Act is a comprehensive framework statute combining industrial promotion with trust and safety rules. It gives a legal basis for a national AI master plan every three years and the National AI Committee, supports R&D, data, standardisation and SMEs, and imposes duties on operators of high-impact AI (risk management, explanation, human oversight) and transparency duties to notify users of generative AI output. Foreign operators above a threshold must designate a domestic representative. It was promulgated in January 2025 and took effect on 22 January 2026 after a one-year grace period.
Anteproyecto de Ley para el buen uso y la gobernanza de la inteligencia artificial
The draft implements the EU AI Act in Spain: it allocates supervision among AESIA, the data-protection authority, the electoral board, the financial and audiovisual regulators, sets the national penalty scale (up to EUR 35 million or 7% of turnover for prohibited practices), treats failure to label AI-generated content as a serious infringement and provides for the national sandbox to continue.
Leitlinien "Künstliche Intelligenz" für den Bund
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.
National Artificial Intelligence Strategy 2.0 (NAIS 2.0)
Singapore's second national AI strategy, launched under the banner of AI for the public good. It sets goals of excellence and empowerment and organises work across three systems, ten enablers and fifteen actions covering talent, compute, data, industry adoption, research and governance. A 2026 update set ten refreshed priorities and launched sector AI Missions under the new National AI Council.
Real Decreto 729/2023, de 22 de agosto, por el que se aprueba el Estatuto de la Agencia Española de Supervisión de Inteligencia Artificial
Creates and organises AESIA, the Spanish AI Supervision Agency, as a public body attached to the Ministry for Digital Transformation. AESIA supervises and inspects AI systems, promotes sandboxes and standards, and acts as national authority for the EU AI Act. The decree sets its governance, functions and funding.
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.
Стратегија развоја вештачке интелигенције у Републици Србији за период 2025–2030
Adopted in 2025, the second national AI strategy sets goals to 2030 on research and talent, AI in the economy and public administration, data and compute infrastructure, trustworthy AI and alignment with the EU AI Act and the Council of Europe convention, and the preparation of an AI law.
Projekt ustawy o systemach sztucznej inteligencji
The draft act implements the EU AI Act in Poland: it creates the Commission for the Development and Safety of Artificial Intelligence as the market-surveillance authority and single point of contact, sets procedures for complaints and inspections, provides for a regulatory sandbox and defines the national penalty regime.
Strategia Națională în domeniul Inteligenței Artificiale 2024–2027
Approved by government decision in July 2024, the strategy sets objectives on infrastructure and data, research and innovation, skills, public-sector and business adoption, and governance and ethics aligned with the EU AI Act, with an action plan and monitoring indicators.
The national strategy, approved by royal decision in July 2020, sets an ambition for Saudi Arabia to be among the leading data- and AI-driven economies through phased milestones to 2030. It targets talent development, welcoming regulation, investment attraction, research and an active ecosystem, with measurable goals such as training data and AI specialists, attracting investment and creating startups.
SDAIA's AI Ethics Principles set out ethical principles and associated controls for entities developing, deploying or affected by AI systems in Saudi Arabia, covering fairness, privacy and security, humanity, social and environmental benefit, reliability and safety, transparency, and accountability. The document assigns roles and responsibilities and marks certain controls as binding for public entities. The 2025 edition updates the September 2023 version 1.0.
Federal Law No. 123-FZ of 24 April 2020 on an experiment to establish special regulation to create the conditions for the development and implementation of AI technologies in Moscow
Establishes a five-year experimental legal regime in Moscow (from 1 July 2020) allowing participants to develop and deploy AI technologies under special rules, including processing of anonymised personal data for AI purposes, coordinated by the Moscow government with a register of participants. It was accompanied by amendments to the personal-data law.
Rwanda's national AI policy sets out six policy areas and fourteen recommendations covering skills and literacy, infrastructure, data, responsible AI governance, public-sector adoption and ecosystem development. It proposes a Responsible AI Office housed in MINICT to drive an implementation plan and monitor progress. Priority sectors include health, agriculture, education, finance and public services.
Sierra Leone National Artificial Intelligence Strategy
The strategy sets priorities on AI in public services, health, agriculture and education, skills and research, data infrastructure and ethical governance.
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