Search and filter source-backed AI laws, regulations, standards, guidance and consultations. Each record shows its status, key dates, verification state and official source.
244 instruments · page 8 of 13
Hong Kong Ethical Artificial Intelligence Framework (Digital Policy Office)
Guiding principles, leading practices and an AI assessment for government AI projects, with a three-line governance model in which the IT board or chief information officer reviews high-risk AI. It was updated for generative AI.
Methodology for the Risk and Impact Assessment of Artificial Intelligence Systems from the Point of View of Human Rights, Democracy and the Rule of Law (HUDERIA)
Adopted by the CAI in November 2024, HUDERIA is a structured methodology for assessing risks and impacts of AI systems on human rights, democracy and the rule of law across the lifecycle: context-based risk analysis, stakeholder engagement, risk and impact assessment, and mitigation planning with iterative review. It supports implementation of the Framework Convention and can be used by public and private organisations.
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.
India AI Governance Guidelines (MeitY, 2025)
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.
A five-year national programme approved by the Union Cabinet with an outlay of about INR 10,372 crore. It funds shared public AI compute (10,000+ GPUs), an innovation centre for indigenous foundation models, a datasets platform, application development for public problems, skilling programmes, startup financing and work on safe and trusted AI. Implementation is handled by the IndiaAI division of Digital India Corporation.
Informatīvais ziņojums "Par mākslīgā intelekta risinājumu attīstību"
The 2020 informational report approved by the Cabinet sets Latvia's direction on AI: public-sector use cases, data availability, skills, research and ethical principles, later carried into the Digital Transformation Guidelines 2021–2027.
Iniciativa con proyecto de decreto por el que se expide la Ley Federal para el Desarrollo Ético, Soberano e Inclusivo de la Inteligencia Artificial (Initiative to enact the Federal Law for the Ethical, Sovereign and Inclusive Development of Artificial…
This initiative, signed by a bloc of Morena and PVEM deputies and published in the Gaceta Parlamentaria on 30 April 2025, would create Mexico's first general federal AI law. It proposes principles of legality, transparency, human oversight and precaution, a risk 'traffic light' classification with prohibited uses, a National AI Council and an algorithmic audit platform. It was referred to committee and remains under consideration in Congress.
ISO/IEC 42001:2023 Information technology – Artificial intelligence – Management system
The first certifiable management-system standard for AI. It specifies requirements for establishing, implementing, maintaining and improving an AI management system within an organisation: context and leadership, AI policy, risk and impact assessment, objectives, resources and competence, operational controls across the AI lifecycle, performance evaluation and improvement, with Annex A controls on data, transparency, human oversight, third parties and responsible use. Certification is voluntary but increasingly requested in procurement; regulators reference it as evidence of governance.
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.
Kenya's first national AI strategy sets a five-year agenda built on three pillars: AI digital infrastructure, data and AI governance, and AI research, innovation and commercialisation. It aligns with the Kenya National Digital Masterplan 2022-2032 and priorities sectors such as agriculture, health and education. A separate implementation roadmap was later published by the ministry.
Lithuanian Artificial Intelligence Strategy: A vision of the future
Published in 2019, the strategy sets a vision for AI in Lithuania across research, industry, public sector, skills and ethics, and proposes a coordination structure and funding measures.
Maharashtra Artificial Intelligence Policy 2026
An investment and adoption policy that targets about ₹10,000 crore of investment and 1.5 lakh jobs by 2031, with a Maharashtra AI Mission, an AI-adoption subsidy for MSMEs, an AI start-up venture fund, incubators, centres of excellence and AI innovation cities.
Malta: The Ultimate AI Launchpad – A Strategy and Vision for Artificial Intelligence in Malta 2030
Launched in October 2019, the strategy sets three pillars (investment and adoption, public-sector adoption, private-sector adoption) and enablers (education, legal and ethical framework, ecosystem infrastructure), including an ethical AI framework and the MDIA's voluntary AI certification.
Mauritius Artificial Intelligence Strategy
Published in November 2018, the strategy identifies AI applications in manufacturing, health, fintech, agriculture, ocean economy and public services, proposes a Mauritius AI Council, skills programmes and data policies, and addresses ethics and regulation.
Stratégie nationale d'intelligence artificielle et des mégadonnées 2023–2027
Adopted by the Council of Ministers in January 2023, the strategy sets objectives for AI and big-data skills, research, data infrastructure and governance, ethical AI and priority use cases in health, education, agriculture, tourism and living environment, with a 2027 horizon.
The National AI Plan is the Australian Government's whole-of-government AI strategy with three goals: capture the opportunity through infrastructure, domestic capability and investment; spread the benefits through adoption, skills and better public services; and keep Australians safe through legal and regulatory frameworks and responsible-practice guidance. It consolidates existing AI funding commitments and signals a sector-by-sector regulatory approach supported by an AI Safety Institute, rather than a standalone AI act.
National Artificial Intelligence Policy of Ethiopia
Approved by the Council of Ministers in 2024, the policy sets objectives for AI research and talent, adoption in agriculture, health, education, security and public services, data governance and infrastructure, and ethical, responsible use, with the Ethiopian AI Institute as implementing body.
Política Nacional de Inteligencia Artificial del Paraguay
Presented in 2024, the policy sets objectives on ethical and human-centred AI, capacity building, public-sector adoption, data and infrastructure, and research, aligned with the UNESCO recommendation.
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.
Namibia National Artificial Intelligence Policy
A national AI policy under development following the Fourth Industrial Revolution task-force report, covering governance, skills, public-sector use and data.
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