Search and filter source-backed AI laws, regulations, standards, guidance and consultations. Each record shows its status, key dates, verification state and official source.
94 results · page 1 of 5
Zimbabwe National Artificial Intelligence Policy
The policy sets a framework for responsible AI adoption in government, agriculture, health, mining and education, skills and research, data governance and ethics.
Zambia National Artificial Intelligence Strategy
The strategy sets objectives on AI skills and research, adoption in public services, agriculture, health and mining, data infrastructure and responsible-AI governance.
OMB Memorandum M-25-21: Accelerating Federal Use of AI through Innovation, Governance, and Public Trust
M-25-21 directs US federal agencies on how to govern and use AI. It requires agencies to designate Chief AI Officers, maintain AI governance boards, publish AI use-case inventories, and apply minimum risk-management practices to "high-impact" AI, including pre-deployment testing, AI impact assessments, ongoing monitoring, human oversight and training, and remedies for affected individuals. It replaced the 2024 memoranda with a greater emphasis on adoption and innovation while retaining core risk practices.
Strategy for the development of artificial intelligence technologies until 2030 (Presidential Resolution, October 2024)
The 2024 resolution approves a strategy to 2030 to raise the AI services market, deploy AI in public administration and priority sectors, build data centres and datasets, train specialists and adopt ethical principles and standards for AI.
Texas Responsible Artificial Intelligence Governance Act (HB 149, 89th Legislature)
Signed on 22 June 2025 and effective 1 January 2026, TRAIGA bans developing or deploying AI systems intended to manipulate people into self-harm or crime, government social scoring, biometric identification by government from public data without consent, intentional unlawful discrimination against protected classes, and production of child sexual abuse material or unlawful sexual deepfakes. State agencies and health-care providers must disclose AI interactions. It creates a 36-month regulatory sandbox administered by the Department of Information Resources, a Texas Artificial Intelligence Council, and gives the Attorney General exclusive enforcement with civil penalties after a 60-day cure period; disparate impact alone does not prove intent to discriminate.
Colorado Senate Bill 24-205: Consumer Protections for Artificial Intelligence (Colorado AI Act)
The Colorado AI Act requires developers and deployers of high-risk AI systems to use reasonable care to protect consumers from known or reasonably foreseeable risks of algorithmic discrimination. High-risk systems are those that make, or are a substantial factor in making, consequential decisions about education, employment, financial or lending services, essential government services, healthcare, housing, insurance or legal services. Deployers must run risk-management programmes and impact assessments, notify consumers, and explain adverse decisions; developers must document systems and disclose known risks.
Roadmap for the regulation of artificial intelligence in Ukraine
Published in October 2023, the roadmap sets a two-stage, bottom-up approach: first voluntary instruments (white paper, general and sector recommendations, a self-assessment tool, a code of conduct and regulatory sandboxes) to help businesses prepare, then a law on AI harmonised with the EU AI Act, timed with Ukraine's EU accession path.
ICO Guidance on AI and data protection
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.
人工智慧基本法 (Artificial Intelligence Basic Act) – draft approved by the Executive Yuan, July 2024
A framework act setting seven principles for AI development and use, requiring the government to promote AI research, talent and infrastructure, to establish a risk-classification framework and safety standards, to protect personal data, labour and consumers, to provide for liability, disclosure of AI-generated content and non-discrimination, and to designate competent authorities by sector, with the NSTC coordinating.
Strategy for the Development of Artificial Intelligence in the Republic of Tajikistan for the period up to 2040
Approved by government decree in 2021, the strategy sets long-term goals for AI research, education, infrastructure and use in the economy and public administration to 2040.
A pro-innovation approach to AI regulation (white paper and government response)
The UK white paper sets out a principles-based, context-specific approach to regulating AI. Instead of a single AI law, it asks existing regulators to interpret and apply five cross-cutting principles within their remits: safety, security and robustness; appropriate transparency and explainability; fairness; accountability and governance; and contestability and redress. Central government provides coordination, monitoring and guidance.
Stratégie nationale de l'intelligence artificielle de la Tunisie
The strategy sets objectives on AI talent and research, adoption in public services and the economy, data and infrastructure, start-up support and ethical governance.
UAE National Strategy for Artificial Intelligence 2031
The UAE National Strategy for AI 2031 aims to position the UAE as a global leader in AI by 2031. It sets objectives across priority sectors, AI talent and research, data and infrastructure, government adoption and governance, including a commitment to AI ethics and to developing appropriate regulation. It is a strategy document that guides government programmes and does not itself impose obligations on private organisations.
Ulusal Yapay Zekâ Stratejisi 2021–2025 (National Artificial Intelligence Strategy)
Published by Presidential Circular in August 2021, the strategy sets six priorities: training AI experts and increasing employment, supporting research and innovation, access to quality data and technical infrastructure, regulations to accelerate socio-economic adaptation, strengthening international cooperation, and accelerating structural and workforce transformation. Its action plan was updated for 2024–2025.
Tanzania National Artificial Intelligence Strategy
A national AI strategy under development covering governance and ethics, skills, public-sector and agricultural use cases, data and infrastructure.
Uganda National Artificial Intelligence Strategy
A national AI strategy under development covering governance and ethics, skills, public-sector and agricultural use cases, data and infrastructure, within the Digital Transformation Roadmap.
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.
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.
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.
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.
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