Search and filter source-backed AI laws, regulations, standards, guidance and consultations. Each record shows its status, key dates, verification state and official source.
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.
Applies from 1 Jan 2026Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
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.
In force 2 Jan 2022Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Utah Artificial Intelligence Policy Act (SB 149, 2024, as amended by SB 226 and SB 332 in 2025)
Effective 1 May 2024, the Act requires a person using generative AI to interact with a consumer in a consumer transaction to disclose clearly that the consumer is interacting with AI when asked (as amended in 2025, when the interaction is high-risk or on request), and requires providers of regulated occupations (for example health and legal services) to disclose generative-AI use proactively. It states that using AI is no defence to consumer-protection violations, created the Office of Artificial Intelligence Policy and an AI learning laboratory allowing regulatory mitigation agreements, and originally sunset in 2025, extended to 2027.
Applies from 1 May 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
AI – Here for Good: National Artificial Intelligence Strategy for Ireland (2021, refreshed 2024)
Ireland's national AI strategy, first published in July 2021 and refreshed in November 2024 to reflect the EU AI Act and generative AI, is organised around building public trust, leveraging AI for economic and societal benefit, and enablers such as data, infrastructure, skills and governance. The refresh sets out Ireland's AI Act implementation model, public-sector AI guidelines and an AI advisory council.
Adopted 8 Jul 2021Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
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.
Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
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.
Adopted 5 Sep 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
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.
Adopted 23 May 2023Pending review (a factual check against the official source, not a legal review)Official source
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.
Adopted 1 Nov 2023Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
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.
Adopted 8 Apr 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Expanded ASEAN Guide on AI Governance and Ethics – Generative AI
Endorsed in January 2025, the expanded guide addresses risks specific to generative AI (hallucination, deepfakes and misinformation, intellectual property, privacy, security, bias, embedded values) and proposes governance dimensions covering accountability, data, development and deployment, incident reporting, testing and assurance, security, content provenance, safety research and public-interest use, with policy recommendations for member states.
Adopted 17 Jan 2025Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Hiroshima Process International Code of Conduct for Organizations Developing Advanced AI Systems (G7, 30 October 2023)
Eleven voluntary actions for organisations developing the most advanced AI systems, including foundation and generative models: risk identification and mitigation across the lifecycle, post-deployment vulnerability and incident monitoring, public transparency reports, responsible information sharing, security controls, content authentication such as watermarking, research on societal risks, priority to global challenges, technical standards, and data-input and personal-data safeguards. It sits alongside the Hiroshima Process guiding principles and, from 2025, an OECD-run voluntary reporting framework.
Adopted 30 Oct 2023Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Hong Kong Generative Artificial Intelligence Technical and Application Guideline
Published in April 2025, the guideline covers the technical characteristics and risks of generative AI, governance principles (safety, transparency, accountability, data protection, fairness) and practical application guidance for developers, service providers and users across the AI lifecycle, and is intended as a reference for industry and government.
Adopted 15 Apr 2025Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Overheidsbrede visie generatieve AI (Government-wide vision on generative AI)
Adopted in January 2024, the vision sets the government's position on generative AI: a human-centric, safe and fair approach, provisional restrictions on using non-contracted generative AI tools with government data, investment in Dutch and European open models (GPT-NL), and actions on skills, procurement and supervision. It complements the AI Act and the government's AI strategy.
Adopted 18 Jan 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
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.
Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
The India AI Governance Guidelines set out a principle-based, pro-innovation approach to governing AI in India. They articulate guiding principles (such as trust, people-first design, fairness, accountability, safety and transparency), propose an institutional framework including an AI governance group and an AI Safety Institute role, favour applying existing laws over a new AI statute, and recommend voluntary commitments, techno-legal measures, risk-based oversight and incident reporting for AI systems.
Adopted 5 Nov 2025Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Strategia Italiana per l'Intelligenza Artificiale 2024-2026
The 2024–2026 strategy, drafted by an expert committee for the Department for Digital Transformation and published in July 2024, organises action around research, public administration, enterprises and training, with a foundation-model and compute agenda, an AI foundation to coordinate delivery and a monitoring framework.
Adopted 22 Jul 2024Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Stratégie nationale pour l'intelligence artificielle (National AI Strategy, phases 1–3, 2018–2025)
Launched in March 2018 following the Villani report, the national AI strategy funds research institutes (3IA then AI clusters), talent, compute and business adoption. The second phase (2021) focused on training and diffusion into the economy; the third phase (2024–2025) emphasises sovereign generative-AI models, compute and public-sector use, and framed France's hosting of the AI Action Summit in February 2025.
Adopted 29 Mar 2018Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Национальная стратегия развития искусственного интеллекта на период до 2030 года (Presidential Decree No. 490 of 10 October 2019, as amended by Decree No. 124 of 15 February 2024)
The national strategy sets goals for AI research, compute, data, talent and adoption across the economy and public administration to 2030, with the 2024 amendment adding targets on domestic compute capacity, large generative models, share of organisations using AI, and trusted-AI requirements for the public sector. It is implemented through the federal "Artificial Intelligence" project.
Adopted 10 Oct 2019Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
National Artificial Intelligence Policy, 2082 (2025) — Nepal
Nepal's National AI Policy sets the government's direction for developing and using artificial intelligence. Based on the published summaries, it aims to build AI infrastructure and skills, promote ethical and responsible AI, strengthen data governance, establish institutional arrangements for AI oversight, and prepare legal and regulatory measures. It is a policy framework, not a law, and does not itself create enforceable obligations on private organisations.
Adopted 1 Aug 2025Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
New Zealand's Strategy for Artificial Intelligence: Investing with Confidence
Published in July 2025, the strategy aims to lift AI adoption by businesses, especially small and medium enterprises, and the public sector, by reducing barriers, providing clear guidance (Responsible AI Guidance for Businesses), building skills and pursuing a light-touch, proportionate regulatory approach that relies on existing law and international alignment (OECD principles). It rules out a standalone AI act for now.
Adopted 8 Jul 2025Verified (reviewed by Bhaskar Bhatt; a factual check against the official source, not a legal review)Official source
Anything a government or standards body has actually issued: acts, regulations, executive orders, rules, national strategies, frameworks, guidance, codes of practice, voluntary standards and open consultations. Each record states which of those it is, whether it binds anyone, and links the official source it was read from.
Are these records legally verified?
A record is marked verified only after a named reviewer has opened its official source and confirmed each field. Anything that has not been through that carries "pending review" on the record itself, and the data-health document reports the current totals. Nothing here is legal advice.
How current is the information?
Every record carries the date its source document was published and the date it was last checked. A record not re-checked within the freshness window set by the verification policy is flagged as stale rather than quietly presented as current.
Can I reuse this data?
Yes. The records are published under CC BY 4.0 with attribution, and are available as CSV, newline-delimited JSON and a read-only REST API that needs no key. Cite the record URL, the date accessed and the official source alongside it.
