{"data":[{"slug":"india-dpdp-act","id":"AIPT-POL-0094","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0094","title":"Digital Personal Data Protection Act, 2023 and DPDP Rules, 2025","short_title":"India DPDP Act","jurisdiction":"india","instrument_type":"act","status":"partially_applicable","is_binding":true,"ai_specific":false,"issuing_body":"Parliament of India; Ministry of Electronics and Information Technology (Rules)","summary_plain":"The DPDP Act is India's cross-sector personal-data law. It applies to digital personal data processed in India and to processing outside India connected with offering goods or services to people in India. It requires a lawful basis (consent or specified legitimate uses), notice, purpose limitation, data accuracy, security safeguards, breach notification to the Data Protection Board and affected individuals, and grants rights of access, correction, erasure and grievance redress. Significant Data Fiduciaries face extra duties such as impact assessments and audits. The Act does not mention AI specifically, but it governs the personal data used to train and operate AI systems.\n","adopted_on":"2023-08-11","in_force_on":null,"applies_from":null,"official_source_url":"https://www.meity.gov.in/data-protection-framework","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"medium","updated_at":"2026-10-16T13:51:22+00:00","url":"https://aipolicytracker.org/policies/india-dpdp-act"},{"slug":"nepal-concept-paper-on-the-use-and-practice-of-artificial-intelligence-in-nepal","id":"AIPT-POL-0138","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0138","title":"Concept Paper on the Use and Practice of Artificial Intelligence in Nepal","short_title":"Concept Paper on the Use and Practice of Artificial Intelligence in Nepal","jurisdiction":"nepal","instrument_type":"consultation","status":"superseded","is_binding":false,"ai_specific":true,"issuing_body":"Ministry of Communication and Information Technology","summary_plain":"A concept paper prepared by a ministry-appointed committee that surveys the state of AI use in Nepal, its opportunities and risks, and the gaps in existing law and infrastructure. It recommends formulating a national AI policy and strategy, addressing data protection, privacy and cybersecurity, and building governance structures. The paper was published for public suggestions and is cited in the 2025 policy as its precursor.","adopted_on":null,"in_force_on":null,"applies_from":null,"official_source_url":"https://mocit.gov.np/content/12663/12663-nepal/","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":2,"review_status":"verified","confidence_level":"high","updated_at":"2026-10-16T13:51:22+00:00","url":"https://aipolicytracker.org/policies/nepal-concept-paper-on-the-use-and-practice-of-artificial-intelligence-in-nepal"},{"slug":"nepal-individual-privacy-act","id":"AIPT-POL-0139","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0139","title":"Individual Privacy Act, 2075 (2018) — Nepal","short_title":"Nepal Privacy Act 2075","jurisdiction":"nepal","instrument_type":"act","status":"in_force","is_binding":true,"ai_specific":false,"issuing_body":"Federal Parliament of Nepal","summary_plain":"The Individual Privacy Act 2075 gives effect to the constitutional right to privacy in Nepal. It regulates the collection, storage, processing, use and disclosure of personal information by public bodies and private entities, requires consent for collection and use of personal data subject to exceptions, restricts sensitive data, and provides remedies and penalties. It is the main binding law affecting AI systems that process personal data in Nepal. The Individual Privacy Regulation 2077 (2020) provides implementing rules.\n","adopted_on":"2018-09-18","in_force_on":"2018-09-18","applies_from":null,"official_source_url":"https://lawcommission.gov.np/","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"medium","updated_at":"2026-10-16T13:51:22+00:00","url":"https://aipolicytracker.org/policies/nepal-individual-privacy-act"},{"slug":"uae-personal-data-protection-law","id":"AIPT-POL-0192","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0192","title":"Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (UAE PDPL)","short_title":"UAE PDPL","jurisdiction":"uae","instrument_type":"act","status":"in_force","is_binding":true,"ai_specific":false,"issuing_body":"UAE Federal Government","summary_plain":"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.\n","adopted_on":"2021-09-20","in_force_on":"2022-01-02","applies_from":null,"official_source_url":"https://u.ae/en/about-the-uae/digital-uae/data/data-protection","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"medium","updated_at":"2026-10-16T13:51:22+00:00","url":"https://aipolicytracker.org/policies/uae-personal-data-protection-law"},{"slug":"uk-artificial-intelligence-playbook-for-the-uk-government","id":"AIPT-POL-0202","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0202","title":"Artificial Intelligence Playbook for the UK Government","short_title":"Artificial Intelligence Playbook for the UK Government","jurisdiction":"uk","instrument_type":"guidance","status":"guidance","is_binding":false,"ai_specific":true,"issuing_body":"Government Digital Service (Department for Science, Innovation and Technology)","summary_plain":"The AI Playbook is official guidance for UK public-sector organisations on selecting, buying, building and deploying AI. It sets ten principles covering legality, security, human oversight, transparency and accountability, and explains AI capabilities, limitations and risks in plain terms. It expands and replaces the January 2024 Generative AI Framework for HMG to cover a broader range of AI technologies.","adopted_on":"2025-02-10","in_force_on":null,"applies_from":null,"official_source_url":"https://www.gov.uk/government/publications/ai-playbook-for-the-uk-government","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"high","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/uk-artificial-intelligence-playbook-for-the-uk-government"},{"slug":"uk-ico-ai-data-protection-guidance","id":"AIPT-POL-0203","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0203","title":"ICO Guidance on AI and data protection","short_title":"ICO AI guidance","jurisdiction":"uk","instrument_type":"guidance","status":"guidance","is_binding":false,"ai_specific":true,"issuing_body":"Information Commissioner's Office","summary_plain":"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.\n","adopted_on":null,"in_force_on":null,"applies_from":null,"official_source_url":"https://ico.org.uk/for-organisations/uk-gdpr-guidance-and-resources/artificial-intelligence/guidance-on-ai-and-data-protection/","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"medium","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/uk-ico-ai-data-protection-guidance"},{"slug":"ukraine-roadmap-for-ai-regulation-2023","id":"AIPT-POL-0204","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0204","title":"Roadmap for the regulation of artificial intelligence in Ukraine","short_title":"Roadmap for AI regulation (2023)","jurisdiction":"ukraine","instrument_type":"policy","status":"adopted","is_binding":false,"ai_specific":true,"issuing_body":"Ministry of Digital Transformation of Ukraine","summary_plain":"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.","adopted_on":"2023-10-01","in_force_on":null,"applies_from":null,"official_source_url":"https://thedigital.gov.ua/","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"low","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/ukraine-roadmap-for-ai-regulation-2023"},{"slug":"uruguay-estrategia-nacional-de-inteligencia-artificial-del-uruguay-2024-2030","id":"AIPT-POL-0205","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0205","title":"Estrategia Nacional de Inteligencia Artificial del Uruguay 2024-2030 (National Artificial Intelligence Strategy of Uruguay 2024-2030)","short_title":"Estrategia Nacional de Inteligencia Artificial del Uruguay 2024-2030","jurisdiction":"uruguay","instrument_type":"strategy","status":"adopted","is_binding":false,"ai_specific":true,"issuing_body":"Agencia de Gobierno Electrónico y Sociedad de la Información y del Conocimiento (Agesic)","summary_plain":"Uruguay's 2024-2030 strategy was approved on 21 November 2024 by the public-sector Strategic Committee for AI and Data after a participatory process involving more than 300 people from state bodies, civil society and the private sector, with technical support from CAF and UNESCO. It sets guiding principles and three objectives: governance and safeguards for ethical and safe AI, national capabilities in infrastructure, data and talent, and use of AI for sustainable development and better public services. A roadmap with goals and semi-annual reporting accompanies the strategy.","adopted_on":"2024-11-21","in_force_on":null,"applies_from":null,"official_source_url":"https://www.gub.uy/agencia-gobierno-electronico-sociedad-informacion-conocimiento/comunicacion/publicaciones/estrategia-nacional-inteligencia-artificial-2024-2030","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"high","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/uruguay-estrategia-nacional-de-inteligencia-artificial-del-uruguay-2024-2030"},{"slug":"us-california-sb-53","id":"AIPT-POL-0211","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0211","title":"California SB 53: Transparency in Frontier Artificial Intelligence Act","short_title":"California SB 53","jurisdiction":"us-california","instrument_type":"act","status":"in_force","is_binding":true,"ai_specific":true,"issuing_body":"California State Legislature","summary_plain":"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\").\n","adopted_on":"2025-09-29","in_force_on":"2026-01-01","applies_from":"2026-01-01","official_source_url":"https://leginfo.legislature.ca.gov/faces/billNavClient.xhtml?bill_id=202520260SB53","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"medium","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/us-california-sb-53"},{"slug":"us-colorado-ai-act","id":"AIPT-POL-0213","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0213","title":"Colorado Senate Bill 24-205: Consumer Protections for Artificial Intelligence (Colorado AI Act)","short_title":"Colorado AI Act","jurisdiction":"us-colorado","instrument_type":"act","status":"repealed","is_binding":true,"ai_specific":true,"issuing_body":"Colorado General Assembly","summary_plain":"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.\n","adopted_on":"2024-05-17","in_force_on":null,"applies_from":null,"official_source_url":"https://leg.colorado.gov/bills/sb24-205","last_verified_at":null,"reviewed_by":null,"content_version":2,"review_status":"pending_review","confidence_level":"medium","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/us-colorado-ai-act"},{"slug":"us-illinois-artificial-intelligence-video-interview-act","id":"AIPT-POL-0217","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0217","title":"Illinois Artificial Intelligence Video Interview Act (820 ILCS 42)","short_title":"Illinois AI Video Interview Act","jurisdiction":"us-illinois","instrument_type":"act","status":"in_force","is_binding":true,"ai_specific":true,"issuing_body":"Illinois General Assembly","summary_plain":"In force since 1 January 2020, the Act requires employers that use AI to analyse video interviews of applicants for Illinois-based positions to notify applicants, explain how the AI works and what characteristics it evaluates, obtain consent, limit sharing of videos, and delete videos on request within 30 days; a 2022 amendment requires employers relying solely on AI to decide who gets an in-person interview to report demographic data annually.","adopted_on":"2019-08-09","in_force_on":"2020-01-01","applies_from":null,"official_source_url":"https://www.ilga.gov/legislation/ilcs/ilcs3.asp?ActID=4015&ChapterID=68","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"high","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/us-illinois-artificial-intelligence-video-interview-act"},{"slug":"us-illinois-hb-3773-ai-in-employment","id":"AIPT-POL-0218","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0218","title":"Illinois Public Act 103-0804 (HB 3773): Artificial intelligence in employment decisions – amendment to the Illinois Human Rights Act","short_title":"Illinois HB 3773 (AI in employment, Human Rights Act amendment)","jurisdiction":"us-illinois","instrument_type":"act","status":"in_force","is_binding":true,"ai_specific":true,"issuing_body":"Illinois General Assembly","summary_plain":"Signed 9 August 2024 and effective 1 January 2026, the Act makes it a civil-rights violation for an employer to use artificial intelligence in recruitment, hiring, promotion, discipline, discharge or other terms of employment in a way that subjects employees to discrimination on the basis of protected classes, or to use zip codes as a proxy for protected classes. Employers must notify employees when AI is used for such decisions; the Department of Human Rights is to adopt rules on notice.","adopted_on":"2024-08-09","in_force_on":"2026-01-01","applies_from":"2026-01-01","official_source_url":"https://www.ilga.gov/legislation/BillStatus.asp?DocNum=3773&GAID=17&DocTypeID=HB&SessionID=112","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"high","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/us-illinois-hb-3773-ai-in-employment"},{"slug":"us-new-york-city-local-law-144-automated-employment-decision-tools","id":"AIPT-POL-0224","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0224","title":"New York City Local Law 144 of 2021 on Automated Employment Decision Tools (AEDT) and DCWP implementing rules","short_title":"NYC Local Law 144 (automated employment decision tools)","jurisdiction":"us-new-york","instrument_type":"act","status":"in_force","is_binding":true,"ai_specific":true,"issuing_body":"New York City Council; rules by the Department of Consumer and Worker Protection","summary_plain":"Employers and employment agencies may not use an automated employment decision tool to screen candidates or employees for hiring or promotion in New York City unless the tool has had an independent bias audit within the past year, a summary of the audit results is published, and candidates receive at least ten business days' notice of the tool's use, the job qualifications assessed, and how to request an alternative process or accommodation. The bias audit calculates selection and scoring impact ratios by sex, race/ethnicity and intersectional categories. Enforcement began 5 July 2023.","adopted_on":"2021-12-11","in_force_on":"2023-01-01","applies_from":"2023-07-05","official_source_url":"https://www.nyc.gov/site/dca/about/automated-employment-decision-tools.page","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"high","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/us-new-york-city-local-law-144-automated-employment-decision-tools"},{"slug":"us-new-york-raise-act","id":"AIPT-POL-0225","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0225","title":"New York Responsible AI Safety and Education (RAISE) Act (S.6953-B / A.6453-B, signed December 2025)","short_title":"New York RAISE Act (frontier model safety)","jurisdiction":"us-new-york","instrument_type":"act","status":"adopted","is_binding":true,"ai_specific":true,"issuing_body":"New York State Legislature","summary_plain":"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.","adopted_on":"2025-12-19","in_force_on":null,"applies_from":"2027-01-01","official_source_url":"https://www.nysenate.gov/legislation/bills/2025/S6953/amendment/B","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"low","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/us-new-york-raise-act"},{"slug":"us-tennessee-elvis-act","id":"AIPT-POL-0226","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0226","title":"Ensuring Likeness, Voice, and Image Security (ELVIS) Act of 2024 (Tennessee Public Chapter 588)","short_title":"Tennessee ELVIS Act","jurisdiction":"us-tennessee","instrument_type":"act","status":"in_force","is_binding":true,"ai_specific":true,"issuing_body":"Tennessee General Assembly","summary_plain":"Signed 21 March 2024 and effective 1 July 2024, the ELVIS Act updates Tennessee's Personal Rights Protection Act to add voice to the protected attributes of name, photograph and likeness, prohibits publishing or making available an individual's voice or likeness without authorisation, and creates liability for distributing or making available an algorithm, software or tool whose primary purpose is producing an individual's voice or likeness without authorisation. It provides civil actions for individuals and licensees and criminal penalties.","adopted_on":"2024-03-21","in_force_on":"2024-07-01","applies_from":null,"official_source_url":"https://www.capitol.tn.gov/Bills/113/Bill/HB2091.pdf","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"high","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/us-tennessee-elvis-act"},{"slug":"us-texas-responsible-ai-governance-act-traiga","id":"AIPT-POL-0227","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0227","title":"Texas Responsible Artificial Intelligence Governance Act (HB 149, 89th Legislature)","short_title":"Texas Responsible AI Governance Act (TRAIGA)","jurisdiction":"us-texas","instrument_type":"act","status":"in_force","is_binding":true,"ai_specific":true,"issuing_body":"Texas Legislature","summary_plain":"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.","adopted_on":"2025-06-22","in_force_on":"2026-01-01","applies_from":"2026-01-01","official_source_url":"https://capitol.texas.gov/BillLookup/History.aspx?LegSess=89R&Bill=HB149","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"high","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/us-texas-responsible-ai-governance-act-traiga"},{"slug":"us-utah-artificial-intelligence-policy-act","id":"AIPT-POL-0228","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0228","title":"Utah Artificial Intelligence Policy Act (SB 149, 2024, as amended by SB 226 and SB 332 in 2025)","short_title":"Utah Artificial Intelligence Policy Act (SB 149)","jurisdiction":"us-utah","instrument_type":"act","status":"in_force","is_binding":true,"ai_specific":true,"issuing_body":"Utah State Legislature","summary_plain":"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.","adopted_on":"2024-03-13","in_force_on":"2024-05-01","applies_from":"2024-05-01","official_source_url":"https://le.utah.gov/~2024/bills/static/SB0149.html","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"high","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/us-utah-artificial-intelligence-policy-act"},{"slug":"us-executive-order-14179","id":"AIPT-POL-0231","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0231","title":"Executive Order 14179: Removing Barriers to American Leadership in Artificial Intelligence","short_title":"EO 14179","jurisdiction":"us","instrument_type":"executive_order","status":"in_force","is_binding":true,"ai_specific":true,"issuing_body":"President of the United States","summary_plain":"Executive Order 14179, signed 23 January 2025, sets US federal policy to sustain and enhance American AI dominance, directs the development of an AI Action Plan within 180 days, and orders agencies to review and revise or rescind actions taken under the revoked Executive Order 14110 that are inconsistent with the new policy. It also called for revision of the OMB memoranda governing federal agency use and procurement of AI, which OMB replaced in April 2025 with M-25-21 and M-25-22.\n","adopted_on":"2025-01-23","in_force_on":"2025-01-23","applies_from":null,"official_source_url":"https://www.whitehouse.gov/presidential-actions/2025/01/removing-barriers-to-american-leadership-in-artificial-intelligence/","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"high","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/us-executive-order-14179"},{"slug":"us-nist-ai-rmf","id":"AIPT-POL-0233","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0233","title":"NIST AI Risk Management Framework (AI RMF 1.0) and Generative AI Profile","short_title":"NIST AI RMF","jurisdiction":"us","instrument_type":"framework","status":"voluntary_standard","is_binding":false,"ai_specific":true,"issuing_body":"National Institute of Standards and Technology (US Department of Commerce)","summary_plain":"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.\n","adopted_on":"2023-01-26","in_force_on":null,"applies_from":null,"official_source_url":"https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-1.pdf","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"high","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/us-nist-ai-rmf"},{"slug":"us-omb-m-25-21","id":"AIPT-POL-0234","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0234","title":"OMB Memorandum M-25-21: Accelerating Federal Use of AI through Innovation, Governance, and Public Trust","short_title":"OMB M-25-21","jurisdiction":"us","instrument_type":"guidance","status":"in_force","is_binding":true,"ai_specific":true,"issuing_body":"Office of Management and Budget, Executive Office of the President","summary_plain":"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.\n","adopted_on":"2025-04-03","in_force_on":"2025-04-03","applies_from":null,"official_source_url":"https://www.whitehouse.gov/omb/information-for-agencies/memoranda/","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"medium","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/us-omb-m-25-21"},{"slug":"us-winning-the-race-america-s-ai-action-plan","id":"AIPT-POL-0235","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0235","title":"Winning the Race: America's AI Action Plan","short_title":"Winning the Race: America's AI Action Plan","jurisdiction":"us","instrument_type":"strategy","status":"adopted","is_binding":false,"ai_specific":true,"issuing_body":"The White House (Office of Science and Technology Policy)","summary_plain":"America's AI Action Plan is the federal AI strategy mandated by Executive Order 14179. It lists more than 90 policy actions grouped under three pillars: accelerating innovation (including removing regulatory barriers), building AI infrastructure such as data centres and chip fabrication with streamlined permitting, and leading internationally through AI exports and security measures. It was released with accompanying executive orders on federal procurement, data-centre permitting and AI exports.","adopted_on":"2025-07-23","in_force_on":null,"applies_from":null,"official_source_url":"https://www.whitehouse.gov/articles/2025/07/white-house-unveils-americas-ai-action-plan/","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"high","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/us-winning-the-race-america-s-ai-action-plan"},{"slug":"uzbekistan-ai-development-strategy-2030","id":"AIPT-POL-0236","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0236","title":"Strategy for the development of artificial intelligence technologies until 2030 (Presidential Resolution, October 2024)","short_title":"AI development strategy to 2030 (2024)","jurisdiction":"uzbekistan","instrument_type":"strategy","status":"adopted","is_binding":false,"ai_specific":true,"issuing_body":"President of the Republic of Uzbekistan","summary_plain":"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.","adopted_on":"2024-10-14","in_force_on":null,"applies_from":null,"official_source_url":"https://lex.uz/","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"medium","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/uzbekistan-ai-development-strategy-2030"},{"slug":"vietnam-law-on-artificial-intelligence","id":"AIPT-POL-0237","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0237","title":"Law on Artificial Intelligence (Law No. 134/2025/QH15)","short_title":"Law on Artificial Intelligence","jurisdiction":"vietnam","instrument_type":"act","status":"in_force","is_binding":true,"ai_specific":true,"issuing_body":"National Assembly of Vietnam","summary_plain":"Vietnam's first dedicated AI statute, with eight chapters and 35 articles governing the research, development, provision, deployment and use of AI systems. It adopts a risk-based approach, requires human oversight in important decisions, and provides for national AI infrastructure, a national AI development fund, a regulatory sandbox and rules on AI-generated content. It took effect on 1 March 2026 with transition periods for existing systems.","adopted_on":"2025-12-10","in_force_on":"2026-03-01","applies_from":null,"official_source_url":"https://vanban.chinhphu.vn/?pageid=27160&docid=216334&classid=1&orggroupid=1","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"high","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/vietnam-law-on-artificial-intelligence"},{"slug":"vietnam-national-strategy-on-research-development-and-application-of-artificial-intelligence-to-2030","id":"AIPT-POL-0238","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0238","title":"National Strategy on Research, Development and Application of Artificial Intelligence to 2030 (Decision No. 127/QD-TTg)","short_title":"National Strategy on Research, Development and Application of Artificial Intelligence to 2030","jurisdiction":"vietnam","instrument_type":"strategy","status":"adopted","is_binding":false,"ai_specific":true,"issuing_body":"Prime Minister of Vietnam","summary_plain":"A prime ministerial decision promulgating Vietnam's national AI strategy to 2030. It targets a top-four ASEAN and top-50 global position in AI, three national big data and high-performance computing centres, national innovation centres for AI and open datasets across sectors. It directs work on a legal framework, infrastructure, talent and application of AI in government and industry, with the Ministry of Science and Technology coordinating.","adopted_on":"2021-01-26","in_force_on":null,"applies_from":null,"official_source_url":"https://vanban.chinhphu.vn/default.aspx?pageid=27160&docid=202565","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"high","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/vietnam-national-strategy-on-research-development-and-application-of-artificial-intelligence-to-2030"},{"slug":"zambia-national-ai-strategy-2024","id":"AIPT-POL-0239","permanent_url":"https://aipolicytracker.org/id/AIPT-POL-0239","title":"Zambia National Artificial Intelligence Strategy","short_title":"National AI Strategy (2024)","jurisdiction":"zambia","instrument_type":"strategy","status":"adopted","is_binding":false,"ai_specific":true,"issuing_body":"Government of Zambia (Ministry of Technology and Science)","summary_plain":"The strategy sets objectives on AI skills and research, adoption in public services, agriculture, health and mining, data infrastructure and responsible-AI governance.","adopted_on":null,"in_force_on":null,"applies_from":null,"official_source_url":"https://www.mots.gov.zm/","last_verified_at":"2026-09-26","reviewed_by":"Bhaskar Bhatt","content_version":1,"review_status":"verified","confidence_level":"low","updated_at":"2026-10-15T06:46:25+00:00","url":"https://aipolicytracker.org/policies/zambia-national-ai-strategy-2024"}],"meta":{"total":244,"per_page":25,"current_page":1,"last_page":10,"filters":[],"license":"CC BY 4.0","license_url":"https://creativecommons.org/licenses/by/4.0/"},"links":{"next":"https://aipolicytracker.org/api/v1/policies?per_page=25&page=2","prev":null}}