Search and filter source-backed AI laws, regulations, standards, guidance and consultations. Each record shows its status, key dates, verification state and official source.
112 results · page 1 of 6
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.
New York Responsible AI Safety and Education (RAISE) Act (S.6953-B / A.6453-B, signed December 2025)
The RAISE Act requires large developers of frontier AI models (defined by training compute and revenue thresholds) to publish and follow a safety and security protocol, report critical safety incidents to the state within a set period, not deploy models that create unreasonable risk of critical harm, and submit to Attorney General enforcement with civil penalties; the chapter amendments create a state oversight office and align definitions with California's Transparency in Frontier AI Act.
NIST AI Risk Management Framework (AI RMF 1.0) and Generative AI Profile
The NIST AI Risk Management Framework is a voluntary framework for managing risks to individuals, organisations and society from AI. It organises practices into four functions: Govern, Map, Measure and Manage, and describes characteristics of trustworthy AI such as validity, safety, security, accountability, explainability, privacy and fairness. The July 2024 Generative AI Profile (NIST AI 600-1) adds risks and suggested actions specific to generative AI. Many US procurement requirements and state laws reference the framework as a recognised approach.
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.
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.
California SB 53: Transparency in Frontier Artificial Intelligence Act
SB 53 requires "large frontier developers" (developers of the most compute-intensive models above statutory thresholds) to publish a frontier AI framework describing how they assess and mitigate catastrophic risks, publish transparency reports when deploying new frontier models, report critical safety incidents to the California Office of Emergency Services, and protect employees who report safety concerns. It also directs creation of a public computing cluster ("CalCompute").
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.
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.
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.
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.
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.
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.
Yapay Zekâ Kanunu Teklifi (Artificial Intelligence Law proposal submitted to the Grand National Assembly, June 2024)
A short framework bill proposing principles for AI (safety, transparency, fairness, accountability, privacy), a risk-based approach with registration of high-risk systems, operator obligations and penalties, and supervision by designated authorities, broadly modelled on the EU AI Act.
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.
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.
Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (UAE PDPL)
The UAE Personal Data Protection Law is the federal data-protection law applying outside the DIFC and ADGM free zones. It sets principles for lawful processing, consent and its exceptions, data-subject rights (including the right to object to automated decision-making without human intervention), controller and processor duties, security and breach notification to the UAE Data Office, cross-border transfer rules, and data protection impact assessments for high-risk processing including new technologies.
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.
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.
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