Records

The National Artificial Intelligence Strategy Committee serves as a key governance framework in South Korea focused on driving national AI policies, advancing industrial capabilities, and coordinating cross-sector initiatives. The webpage provides an official portal into the committee's strategic direction, organizational structure, and coordination efforts for artificial intelligence development.

These advisory guidelines issued by Singapore's Personal Data Protection Commission explain how the Personal Data Protection Act applies to the collection, use, and disclosure of personal data in generative AI systems. They address various phases of the AI lifecycle, including commercial development and deployment, and outline obligations regarding data protection, transparency, and accountability.

This document outlines the scope and services of Agesic, the government agency responsible for electronic governance, digital transformation, and information society initiatives in Uruguay. It provides a digital hub for citizens to access state information, administrative procedures, and institutional frameworks.

This presentation discusses AI ethics and regulation in the Caribbean, examining key ethical considerations such as transparency, bias, privacy, accountability, economic displacement, and content attribution. It outlines approaches for national-level facilitation of safe and ethical AI through trust, stakeholder involvement, public and private sector roles, and structured governance plans.

The NIST AI Risk Management Framework Playbook provides voluntary, suggested actions for organizations to achieve the outcomes laid out in the AI RMF Core across four primary functions: Govern, Map, Measure, and Manage. It offers structured guidance to help organizations integrate trustworthy characteristics into artificial intelligence systems throughout their lifecycle. Organizations may adopt as many or as few of these suggestions as apply to their specific industry use case or risk profile.

This document outlines Uruguay's strategy for incorporating artificial intelligence into its digital government and public administration. It establishes general principles and four main pillars—AI governance, capacity development, responsible use, and digital citizenship—to promote ethical, transparent, and human-centric AI applications in the public sector.

This document outlines an artificial intelligence strategy for the digital government aimed at promoting and strengthening the responsible use of AI in public administration. It establishes four core dimensions—ethical, regulatory, technical, and social—to guide the development, implementation, and oversight of AI applications. The strategy is structured around four main pillars covering AI governance, capacity development, use and application, and digital citizenship.

This policy section outlines the requirements for Australian government agencies to assess the potential impacts and risks of AI use cases. It mandates conducting impact assessments for in-scope AI applications, maintaining an internal register, and applying appropriate oversight and risk treatments depending on whether the inherent risk is medium or high. Agencies must also continuously monitor, evaluate, and re-validate their AI systems throughout their operational lifecycle.

Anthropic's Responsible Scaling Policy outlines risk governance frameworks and safety standards for frontier artificial intelligence models. It establishes capability thresholds, risk reporting protocols, and concrete deployment and security safeguards to mitigate catastrophic risks such as misuse or autonomous replication. The policy operates as a living document that undergoes iterative revisions to address emerging safety challenges.

This document outlines Article 113 of the European Union AI Act, specifying the timeline for the regulation's entry into force and phased application. It establishes various staggered enforcement dates for different chapters and provisions, such as prohibited practices, high-risk AI systems, and governance bodies. The text is based on the EUR-Lex consolidated version of the AI Act.

Deployers of high-risk AI systems must ensure proper use, human oversight, relevant input data, and operational monitoring. They are required to keep automatically generated logs for at least six months, inform workers before workplace deployment, and comply with registration obligations if they are public authorities. Additionally, specific rules govern law enforcement use of post-remote biometric identification, including authorization requirements and reporting obligations.

Article 62 of the EU AI Act outlines specific measures to support small and medium-sized enterprises (SMEs), including start-ups, in complying with AI regulations. It mandates Member States to provide priority access to regulatory sandboxes, targeted training, dedicated communication channels, and participation in standardisation processes alongside reduced conformity assessment fees. Additionally, the AI Office is tasked with providing standardised templates, maintaining an information platform, running awareness campaigns, and promoting public procurement best practices.

This discussion paper by the World Health Organization examines the intersection of artificial intelligence and evidence-informed policy-making in the health sector. It outlines how AI supports various stages of the policy cycle—such as problem identification, design, and implementation—through predictive modelling and enhanced data integration. The document also analyzes key risks like bias, opacity, and regulatory gaps, while proposing practical considerations for responsible implementation and risk-based regulation.

This academic chapter examines the legal, ethical, and strategic implications of artificial intelligence and automated weapon systems (AWS) in modern warfare. It highlights the absence of a comprehensive international legal framework regulating drones and killer robots, raising concerns about compliance with international humanitarian law and human rights. The author argues for an urgent, binding international regulatory framework that ensures meaningful human control over all AI-enabled military technologies.

This document outlines Smart Africa's strategic vision and roadmap for integrating artificial intelligence across the African continent to foster socioeconomic development. It addresses key pillars such as policy harmonization, infrastructure development, capacity building, and ethical AI deployment. The strategy emphasizes collaborative frameworks among member states and international partners to bridge the digital divide and harness AI innovation.

This World Health Organization document outlines considerations for the use of artificial intelligence in health. It discusses governance frameworks, ethical challenges, and pathways for implementing AI systems to improve global health outcomes.

This official portal page outlines Singapore's national strategy and initiatives concerning artificial intelligence development and governance. It highlights the Infocomm Media Development Authority's efforts to foster a trusted, innovative, and inclusive AI ecosystem. The resource provides guidance on national AI policies, industry programs, and regulatory frameworks.

This report examines ethics review and oversight of AI-related health research, covering health-related data science using AI, research conducted with AI tools, and research on AI tools themselves. It analyses gaps in current ethical standards, challenges faced by research ethics committees, and measures to strengthen ethical research conduct. Particular attention is given to risks and inequities affecting low- and middle-income countries, including fairness, benefit sharing, data colonialism, and capacity-building.

This guidance from the Office of the Australian Information Commissioner (OAIC) explains how the Australian Privacy Principles (APPs) under the Privacy Act 1988 apply when agencies and organisations use commercially available artificial intelligence (AI) products. It covers privacy obligations related to collecting, using, disclosing, securing, and maintaining the quality of personal information when interacting with third-party AI systems.

This document is a call for inputs regarding emerging technology governance by the African Union Development Agency and APET. It invites stakeholders to provide insights and contributions on technology policy. The provided text is binary and unreadable, so further specific governance details are not stated.

This cookie clarification text explains how the Grand National Assembly of Turkey (TBMM Başkanlığı), acting as the data controller under the Law on the Protection of Personal Data No. 6698, uses cookies on its website. It details the types of cookies utilized, specifically strictly necessary first-party session and persistent cookies, and outlines the legal basis and user rights regarding personal data processing.

This checklist from the Office of the Australian Information Commissioner assists developers in considering privacy obligations when developing or training generative artificial intelligence models. It outlines key privacy considerations spanning privacy management, data accuracy, collection, use, disclosure, and transparency. The document is designed for organizations subject to the Privacy Act that design, build, train, adapt, or combine AI models.

This checklist provides privacy considerations for organizations selecting commercially available AI products. It outlines key issues related to accuracy, training data, security risks, operating environments, and data disclosures under the Australian Privacy Principles. The guidance helps deployers assess compliance and privacy obligations when using AI systems that handle personal information.

This checklist provides guidance for organisations deploying commercially available AI products that handle personal information. It outlines privacy considerations mapped against Australian Privacy Principle (APP) obligations, covering use and disclosure, collection and generation, data accuracy, transparency, accountability, and ongoing lifecycle assurance. The resource aims to assist entities in complying with the Privacy Act when utilizing artificial intelligence technologies.

This article identifies seven anthropological considerations grounded in biblical scriptures, Roman Catholic documents, and recent research literature to guide the ethics of socially assistive robots in aged care. It argues that ontological distinctions between humans and machines must inform ethical deliberations at individual, organizational, societal, and global levels. The authors aim to foster a global, inclusive dialogue on digitalization in aged care that places human dignity and relationality at the center of healthcare robotics.

This document outlines the Code of Conduct for meetings and events hosted or sponsored by the Caribbean Telecommunications Union (CTU). It establishes expected standards of professional and respectful behavior for all participants, speakers, and staff, while detailing unacceptable conduct such as harassment, bullying, and unauthorized data usage. Finally, it outlines enforcement mechanisms, including potential expulsion from events, and provides procedures for reporting misconduct.

This document outlines the Code of Conduct for Caribbean Telecommunications Union (CTU) hosted or sponsored meetings and events. It establishes behavioral expectations and prohibits harassment or discrimination to ensure a safe, inclusive, and professional environment for all participants. It also details enforcement mechanisms, including potential expulsion from events for violations.

This document establishes an ethical code for artificial intelligence in Andorra, aiming to guide the public sector, private sector, and citizens toward reliable, human-centric, and rights-compliant AI. It aligns with international frameworks like those from UNESCO, the OECD, and the Council of Europe, focusing on fundamental rights, transparency, robustness, and sustainable development. The code serves as a voluntary guide and foundation for potential future regulations regarding AI in Andorra.

This academic paper examines the socio-economic impacts of the Fourth Industrial Revolution and the rise of digital robots or humanoids. It discusses the transition into a post-industrial society where robots replace human labor, raising challenges around unemployment, productivity, and human-robot coexistence. The author proposes the development of a common secular ethics for both humans and humanoids to guide this technological shift.

The Montevideo Declaration establishes a regional approach to artificial intelligence governance and ethics in Latin America and the Caribbean, emphasizing human rights, democracy, and sustainable development. Adopted during the Second Ministerial Summit in October 2024, the declaration approves a common roadmap focused on governance, talent, vulnerable groups, environment, and infrastructure. It formalizes a continuous Working Group and annual ministerial summits to guide regional policy implementation with technical support from UNESCO and CAF.

The Declaration of Montevideo establishes a regional approach for the governance of artificial intelligence in Latin America and the Caribbean. Ministers and high-level authorities adopted an actionable Roadmap focusing on governance, talent, vulnerable groups, sustainability, and infrastructure. It formalizes the Working Group on the Ethics of Artificial Intelligence and establishes the Ministerial Summit as an annual meeting.

This document details the Department of Health and Human Services (HHS) response to OMB Memorandum M-21-06 regarding the regulation of artificial intelligence applications. It outlines statutory authorities, active paper work reduction act collections of information, private sector AI use cases, regulatory barriers, and planned regulatory actions related to AI/ML technologies in healthcare.

This document is an end-user agreement outlining the terms under which scientific publications with a Taverne licence are made available in institutional repositories pursuant to Article 25fa of the Dutch Copyright Act. It permits users to download and use the publications for personal purposes, provided proper attribution is given to the original source. Any unauthorized use beyond this licence or copyright law is prohibited, and a complaint mechanism is provided for rights infringement concerns.

This document is a public consultation initiated by the Brazilian Ministry of Science, Technology, Innovations and Communications (MCTIC) to gather input for the construction of a National Artificial Intelligence Strategy. It outlines key thematic axes such as legislation and ethical use, AI governance, international aspects, workforce and capacity building, research and development, productive sectors, public administration, and public security. Each section poses specific discussion questions to help shape policies that maximize the benefits of AI while mitigating risks.

This Stanford Encyclopedia of Philosophy entry explores the ethics of artificial intelligence and robotics. It outlines major philosophical debates surrounding privacy, human autonomy, bias, transparency, and societal impacts. The article aims to evaluate techno-social developments to help guide responsible AI design and use.

This analytical and scientific-legislative report explores the ethical challenges arising from the advancement of artificial intelligence and its associated technologies. It examines algorithmic bias, neurotechnologies, smart autonomous systems, the impact of AI on work, geopolitical aspects of AI governance, and implications for democracy. Finally, it provides anticipatory ethical recommendations to promote equitable and sustainable AI development.

This academic paper explores the intersection of artificial intelligence, roboethics, and the law, examining how virtue ethics applies to the unpredictable behavior of robots. It argues that even if robots functioned as perfect moral agents, complex societies would still require formal legal rules regarding rights and duties to coordinate effectively. Ultimately, the paper suggests that no single moral theory is sufficient to instruct how to legally bind artificial agents through AI research and robotic programming.

This article explores the legal, ethical, and public perception challenges surrounding liability and responsibility in surgical robotics as systems become increasingly autonomous. It introduces a six-level classification system for surgical robot autonomy and describes the iRobotSurgeon survey, which uses five hypothetical scenarios to gauge public opinion on who bears responsibility when a patient is harmed. The authors discuss existing tort law, product liability, the 'component part' doctrine, and the concept of the 'moral crumple zone' where human operators may bear a disproportionate burden of blame.

This academic chapter examines the potential for holding robots criminally liable and evaluates corporate criminal responsibility (CCR) for harms caused by AI devices. The author concludes that subjecting robots directly to criminal punishment is neither conceptually nor practically feasible under current conditions. However, the text argues that corporate criminal responsibility can be extended to harms caused by AI devices, provided that corporations benefit from their use and exhibit negligence in designing, programming, or supervising the technology.

This guidance document from the Ministry of Business, Innovation and Employment outlines governance, compliance, and risk management frameworks for businesses developing or using artificial intelligence in New Zealand. It covers assembling multidisciplinary teams, understanding relevant New Zealand legislation such as the Commerce Act and Privacy Act, navigating AI-related risks, and maintaining thorough recordkeeping. Practical considerations are illustrated through a scenario on algorithmic collusion, along with recommendations for aligning with international standards.

This draft OMB memorandum provides guidance to executive departments and agencies on developing regulatory and non-regulatory approaches for artificial intelligence applications developed outside the federal government. It outlines ten core stewardship principles—including public trust, scientific integrity, risk assessment, and flexibility—designed to foster innovation while protecting American values, privacy, and civil liberties. Additionally, the document details strategies for reducing barriers to AI deployment, expanding access to federal data for R&D, engaging in voluntary consensus standards, and requires agencies to submit implementation plans to OMB.

This guidance document outlines privacy protection and security requirements for Australian Government agencies using artificial intelligence systems. It details how agencies must comply with the Australian Privacy Principles, conduct privacy threshold and impact assessments, and manage digital and cyber security risks under relevant frameworks.

This guidance note from the Central Bank of the UAE outlines principles and guidelines for licensed financial institutions regarding the consumer protection and responsible adoption of artificial intelligence and machine learning. It covers governance, fairness, transparency, data quality, continuous monitoring, and human oversight. The document aims to promote ethical AI use, mitigate risks, and ensure fair treatment of consumers in financial services.

These guidelines provide a continental reference for the responsible adoption of artificial intelligence in social protection and welfare systems across Africa. Issued by AUDA-NEPAD and APET, the document outlines cross-cutting and sector-specific principles—such as human rights, data protection, proportionality, and dynamic inclusion—alongside concrete measures spanning legal, institutional, capacity-building, and operational domains. It aims to support African Union Member States in domesticating continental commitments into safe, rights-respecting practices for welfare delivery.

This policy brief explores how Caribbean governments can proactively harness and adopt artificial intelligence in public sector organizations to create public value. It notes that public sector bodies in the region are currently lagging in AI adoption despite its transformative benefits for efficiency and service delivery. The document highlights the potential of AI across various sectors such as education, healthcare, and public administration while emphasizing the need for integration.

The Hiroshima Process International Code of Conduct for Advanced AI Systems provides voluntary guidance for organizations developing advanced AI systems, including foundation models and generative AI systems. It aims to promote safe, secure, and trustworthy AI worldwide through a risk-based approach spanning all lifecycle stages. Developed under the G7 Hiroshima AI Process, the code is intended to be a living document reviewed and updated as necessary.

The Hiroshima Process International Guiding Principles provide a non-exhaustive, living framework to promote safe, secure, and trustworthy advanced AI systems globally. Developed to build on existing OECD AI Principles, they offer guidance for organizations across academia, civil society, and the private and public sectors. The principles cover risk management, safety testing, incident reporting, transparency, cybersecurity, content provenance, and responsible AI research.

This document outlines Colombia's roadmap for the ethical, sustainable, and responsible adoption of artificial intelligence between 2024 and 2033. It establishes baseline conditions, strategic focus areas, a specific action plan, and innovation routes across five core pillars including ethics, education, data governance, emerging industries, and cybersecurity. The initiative aims to align technological advancement with national development goals and international standards set by organizations like the OECD and UNESCO.

This document maps practical implementation practices to Australia's eight AI Ethics Principles to help governments apply them responsibly in AI assurance. It provides guidance across the entire AI lifecycle, addressing topics such as human wellbeing, human-centred values, fairness, privacy, reliability, transparency, contestability, and accountability. It draws from various existing Australian federal, state, and territory government frameworks and publications.

The India AI Governance Guidelines provide a comprehensive, balanced framework aimed at promoting AI innovation and inclusive development while mitigating societal risks. Structured across four parts, the guidelines establish seven foundational sutras, detail recommendations across six pillars covering enablement, regulation, and oversight, set forth a multi-stage action plan, and offer practical guidance for industry and regulators. The document advocates a pro-innovation, techno-legal approach utilizing existing laws and Digital Public Infrastructure rather than creating a separate standalone AI statute.