Records

This legislative initiative proposes the creation of the Digital Governance and Artificial Intelligence Law of Mexico City to regulate information and communications technologies and artificial intelligence applications in government services. It establishes a Digital Governance and Artificial Intelligence System, a Digital Governance Council, and a Digital Innovation Public Agency to coordinate digital policies, data management, and interoperability. Additionally, the proposal sets guiding principles, digital rights for citizens, technological standards, and risk-based regulations for artificial intelligence use in the public sector.

This paper proposes Science for Robot Policy, a structured and evidence-driven model that bridges the gap between service robotics innovation and regulatory adaptation. Using a Constructive Research Approach, the model integrates scientific experimentation, stakeholder engagement, and knowledge brokering to transform empirical data into actionable regulatory insights. The five-step process begins with risk identification and prioritization, proceeds through controlled testing environments, and aims to provide policymakers with tools to proactively address emerging safety and fundamental rights risks.

This policy establishes a comprehensive framework for the safe, ethical, and effective use of artificial intelligence across government entities in the Kingdom of Bahrain. It is structured around four main pillars covering compliance with legislation and policies, adoption of AI technologies, awareness and education, and local and international cooperation. The policy sets out eleven fundamental principles, including human decision-making, safety, transparency, and accountability, while assigning specific responsibilities to governing bodies such as the Information & eGovernment Authority.

The General Policy for the Use of Artificial Intelligence Version 1.0 establishes a comprehensive framework for the safe and ethical adoption of AI across all government entities in the Kingdom of Bahrain. Issued by the Information & eGovernment Authority and approved on May 20, 2025, the policy outlines core principles, four main operational pillars, and specific rules regarding data protection, cybersecurity, transparency, and human oversight. It aims to drive economic and social growth, improve government service efficiency, and position Bahrain as a leader in digital innovation.

The General Policy for the Use of Artificial Intelligence establishes a comprehensive framework for the safe, ethical, and effective adoption of AI technologies across government entities in the Kingdom of Bahrain. It outlines eleven core principles ranging from human decision-making and non-discrimination to privacy and data protection, while detailing requirements across four main pillars: policy commitment, AI adoption, awareness and education, and local and international cooperation. The policy mandates strict compliance with existing national legislations such as the Personal Data Protection Law and Cybercrime Law, ensuring that AI enhances government services while safeguarding individual rights and state security.

This research brief by the International Labour Organization provides a 2025 update on the potential occupational exposure to generative AI, incorporating a refined methodology that combines human and AI insights across nearly 30,000 tasks. The study finds that about one in four workers globally are in an occupation with some degree of GenAI exposure, though most jobs will be transformed rather than automated away. It also highlights notable disparities in exposure based on gender, region, and national income levels.

This academic paper examines the ethical acceptability of social care robots through the lens of trust. The authors propose a three-level model of trust analysis consisting of rational, motivational, and personal or intimate dimensions. They argue that while social care robots cannot engage in personal or intimate trust relationships, they are trustworthy at rational and thin motivational levels within a sociotechnical framework of teams of humans and robots.

This strategic roadmap outlines Lebanon's digital and AI transformation plan through 2030, led by the Ministry of State for Technology and AI (MITAI). It details four key strategic tracks: establishing foundational governance, developing advanced digital and AI infrastructure, harnessing tech talent, and empowering the ecosystem to scale investment. The document sets ambitious national targets including operating an AI-first government with over 80 percent of services digitized, attracting $500 million in AI investments, and raising labor productivity.

This systematic qualitative review investigates the ethical aspects of using social robots in elderly care by analyzing 248 academic publications. The authors organize their findings into a framework of ethical hazards, ethical opportunities, and unsettled questions across three stakeholder groups: care recipients, care providers and facilities, and society and the healthcare system. The review highlights that while social robots offer potential benefits such as improved well-being, reduced caregiver workload, and companionship, they also introduce significant challenges including privacy risks, infantilization, deception, and a potential reduction in human touch.

This document outlines Israel's National Program for Artificial Intelligence, detailing a multi-year strategic plan from 2021 to 2026 budgeted at approximately NIS 1 billion. The program focuses on five main objectives: reinforcing AI infrastructure and research, driving AI adoption in the high-tech sector, implementing AI in the public sector to improve government services, securing Israel's global geo-technological position, and preparing the national economy and education system for AI integration. It emphasizes a sectoral regulatory approach based on 'Responsible Innovation' aligned with international standards and OECD principles.

This academic chapter explores the design challenges and ethical dilemmas of developing robots with artificial emotional intelligence. It examines whether robots can or should be equipped with emotions by analyzing human behavior, superficial emotion simulation, and internal emotional apparatuses. Ultimately, the text addresses the philosophical question of whether artificial intelligence can genuinely possess emotions and discusses the possibility of non-human emotional states.

This proposed bill regulates artificial intelligence in Colombia to ensure its ethical and responsible development while protecting fundamental rights, scientific development, and innovation. It establishes a risk-based classification framework for AI systems, assigns supervisory responsibilities to the Ministry of Science, Technology and Innovation and the Superintendence of Industry and Commerce, and introduces provisions regarding transparency, safety, labor transitions, and penalties.

This letter from members of the U.S. House Select Committee on the CCP urges the Secretary of Defense, Secretary of Commerce, and FCC Chairman to investigate the robotics manufacturer Unitree for alleged ties to the People's Liberation Army and military-civil fusion programs. The letter highlights security risks including undocumented remote access backdoors, data transfers to China, and the deployment of Unitree robots in sensitive U.S. infrastructure and law enforcement agencies. It requests that the administration consider designating Unitree under Section 1260H of the FY21 NDAA, adding it to the Entity List, and including it on the Covered List.

The 2025 Artificial Intelligence Adoption Framework, issued by the Saudi Data & AI Authority (SDAIA), provides a comprehensive practical guide to help government and private entities systematically and responsibly adopt AI technologies. It is structured around three core pillars—Directions (strategy, governance, budget), Enablers (data, infrastructure, human capacity), and Outcomes (applications, operational efficiency, employee productivity, service quality enhancement). The document aims to align AI initiatives with Saudi Vision 2030, ensure regulatory compliance, and drive sustainable economic and social impact.

This document establishes the 2025 AI Ethics Principles and framework issued by the Saudi Data and Artificial Intelligence Authority (SDAIA). It sets out guiding principles for artificial intelligence including fairness, privacy and security, humanity, social and environmental benefits, reliability and safety, transparency and explainability, and accountability. Furthermore, it outlines an AI System Lifecycle approach spanning preparation, planning, building, and deployment, alongside checklists and tools for compliance in the Kingdom of Saudi Arabia.

These guidelines provide regulatory instructions for government employees in Saudi Arabia on the responsible use of generative artificial intelligence and the processing of government data. Issued by the Saudi Data and Artificial Intelligence Authority (SDAIA), the document outlines AI ethics principles, roles and responsibilities within government entities, potential benefits, and practical use cases with associated risks such as data leaks, misinformation, and deepfakes. It mandates that government employees limit GenAI usage strictly to public data and prohibit the entry of restricted or classified information.

This document published by the Saudi Data and Artificial Intelligence Authority provides comprehensive guidance for the public, developers, and users in the Kingdom of Saudi Arabia regarding the responsible development and use of generative artificial intelligence. It outlines the benefits of GenAI across various sectors, establishes core ethical principles such as fairness, reliability, transparency, and privacy, and identifies major risks including deepfakes, safety threats, hallucinations, and data breaches along with corresponding mitigation measures.

This foresight and technology assessment report, prepared for the Austrian Parliament, examines the current developments, market trends, and potential applications of humanoid robots driven by artificial intelligence. It highlights technological breakthroughs, key international players, economic impacts for Austria, and associated ethical and legal questions regarding liability, data protection, and labor displacement. Finally, it outlines proposals for further parliamentary action and a potential deeper study on the societal, legal, and economic implications.

Luxembourg's AI Strategy outlines the national vision for accelerating digital sovereignty by 2030 through human-centred artificial intelligence, robust infrastructure, and targeted enablers. It emphasizes cross-sectoral adoption in high-impact areas such as public administration, finance, health, and culture, supported by initiatives like the Luxembourg AI Factory and the MeluXina-AI supercomputer. The strategy balances innovation with ethical governance, legal compliance under the EU AI Act, and active skills development for citizens and the workforce.

This document introduces the National AI Index (NAII) developed by the Saudi Data and Artificial Intelligence Authority to assess the readiness of government entities in adopting AI technologies. It details the index framework, which consists of three pillars (Directions, Enablers, and Outputs), seven sub-pillars, and twenty-three domains. Furthermore, it outlines a six-tier maturity scale ranging from Level 0 (Absence of Capabilities) to Level 5 (Pioneer) and explains the evaluation and reporting methodology.

This document outlines the provisional translation of Japan's guidelines for government procurements and utilizations of generative AI to boost public administration innovation while securing risk management. It establishes governance frameworks such as appointing Chief AI Officers (CAIOs) in each ministry, setting up an Advanced AI Utilization Advisory Board, and detailing procurement and contract rules including check sheets and user rules.

The Personal Information Protection Commission (PIPC) of Korea announced the status examination results regarding the DeepSeek AI service. The examination identified issues such as insufficient privacy policy transparency, lack of proper consent for cross-border data transfers, and absence of age verification procedures for children. Consequently, the PIPC issued specific recommendations for correction and improvement to ensure DeepSeek complies with the Personal Information Protection Act (PIPA).

This study investigates how human-perceived trust, competence, willingness, and explainability interact in human-robot collaboration within a real museum setting. By testing an adaptive robot capable of adjusting its autonomy using a Theory of Mind model, the research evaluates how behavior explanations impact overall trustworthiness and the mediation effects of explanation evaluations. The findings demonstrate that perceived competence directly influences trustworthiness regardless of explanations, whereas the relationship between willingness and trustworthiness is mediated by the quality and interpretability of the robot's explanations.

This study examines the cross-cultural acceptance of social robots by constructing a three-dimensional TLE model based on trust, language, and ethics. It explores how cultural differences influence user resistance and cognitive bias toward social robots, particularly within the Chinese cultural context. The findings suggest that technological trust must be calibrated with ethical values, and language interaction requires adaptation to symbolic and pragmatic rules.

This draft guideline issued by Israel's Privacy Protection Authority clarifies how the Privacy Protection Law and its regulations apply to artificial intelligence systems. It outlines legal bases for processing personal data, informed consent and transparency obligations, accountability practices like data protection impact assessments, data accuracy rights, and heightened information security requirements for AI applications.

This national standard, titled 'Cybersecurity technology—Basic security requirements for generative artificial intelligence service' (GB/T 45654-2025), establishes fundamental cybersecurity and safety requirements for generative artificial intelligence services. Issued by the State Administration for Market Regulation and the Standardization Administration of China, it was published on April 25, 2025, and goes into effect on November 1, 2025. The standard is managed by the National Information Security Standardization Technical Committee (TC260) and was drafted by a broad consortium of Chinese research institutes, universities, and technology companies.

Executive Order 14277 establishes a national policy and federal task force to advance artificial intelligence education and literacy for American youth and workers. The order directs federal agencies to form public-private partnerships, prioritize grant funding for AI curricula, enhance educator professional development, and expand AI-related apprenticeships and career pathways.

Executive Order 14277 establishes the White House Task Force on Artificial Intelligence Education to promote AI literacy, professional development for educators, and workforce training across the United States. The order mandates the creation of the Presidential Artificial Intelligence Challenge, directs federal agencies to form public-private partnerships for K-12 AI resources, and prioritizes AI education and registered apprenticeships within the Departments of Education, Labor, Agriculture, and the National Science Foundation.

This legislative initiative proposes the Federal Law for the Ethical, Sovereign, and Inclusive Development of Artificial Intelligence in Mexico. It establishes a comprehensive regulatory framework governing AI systems through a risk-based tier system (minimum, limited, high, and prohibited), mandates human oversight, and creates specialized bodies such as the National Council for Artificial Intelligence and the National Algorithmic Audit Platform. The law emphasizes fundamental rights, transparency, algorithmic accountability, environmental sustainability, and reinforced protections for minors and sensitive sectors.

This academic paper examines the legal and liability implications of using automated and robotic systems in interventional radiology. It discusses the need for clear regulatory frameworks, accountability during equipment malfunctions, and the protection of patient privacy. To address these challenges, the authors propose a dedicated written informed consent form that outlines the role of robotic assistance and potential procedural conversions.

This global report by the International Labour Organization examines how artificial intelligence, digitalization, automation, and advanced robotics are transforming occupational safety and health at work. It highlights both the opportunities these technologies present for reducing workplace hazards and the emerging physical, organizational, and psychosocial risks they introduce. Furthermore, the report reviews global, regional, and national policy frameworks, gaps, and collaborative efforts required to ensure a safe and healthy digital transition.

Opening remarks delivered by Hon. Samuel Nartey George at the National AI Strategy Stakeholder Consultation Forum in Ghana on April 15, 2025. The address outlines Ghana's ambition to become the AI hub of Africa, anchored on four key priorities: data as a national asset, compute power infrastructure, talent development, and governance with real-world use cases. It also highlights the launch of the One Million Coders Program to equip youth with digital skills.

The Global AI Hub Law establishes a legal framework in Saudi Arabia for creating Private, Extended, and Virtual Hubs—specialized data centers hosted in the Kingdom that can operate under foreign laws and be granted specific privileges and immunities through bilateral agreements. The law aims to position Saudi Arabia as a global digital hub, attract foreign investment, and support advanced technology research while safeguarding national security and sovereignty. It sets out the responsibilities of the competent authority, operators, and service providers, alongside provisions for compliance, enforcement, and termination.

This EU publication explores the impact of artificial intelligence on scientific creativity, examining its use across 80 fields from 2000 to 2022. It finds that AI adoption has surged since the early 2010s, with China leading in output, novelty, and impact compared to the US and EU. The study concludes that AI generally enhances scientific creativity, though effects vary significantly across different academic fields.

The White House Office of Management and Budget issued two revised policies, M-25-21 and M-25-22, to eliminate bureaucratic barriers and promote the rapid, responsible adoption and procurement of artificial intelligence across federal agencies. These policies shift the federal approach from risk aversion to a pro-innovation and pro-competition mindset aimed at modernizing government services while protecting privacy, civil rights, and civil liberties. Chief AI Officers are repositioned as change agents to drive innovation, and procurement guidelines are streamlined to support competitive American AI markets and avoid vendor lock-in.

The AI Guidelines for Business (Version 1.1) provide unified guiding principles for AI governance in Japan to promote the safe, secure, and appropriate use of AI across its lifecycle. Issued jointly by the Ministry of Internal Affairs and Communications (MIC) and the Ministry of Economy, Trade and Industry (METI) in April 2025, these soft-law guidelines integrate previous Japanese AI frameworks and align with international standards such as the G7 Hiroshima AI Process. They establish basic philosophies of human dignity, diversity and inclusion, and sustainability, while detailing responsibilities for AI developers, providers, and business users based on a risk-based approach.

This document outlines Version 1.1 of Japan's 'AI Guidelines for Business', established collaboratively by the Ministry of Internal Affairs and Communications (MIC) and the Ministry of Economy, Trade and Industry (METI) in April 2025. It integrates prior Japanese AI frameworks, incorporates international discussions such as the G7 Hiroshima AI Process, and provides comprehensive guiding principles and implementation approaches for AI developers, providers, and business users. The framework emphasizes human-centric values, transparency, safety, fairness, privacy protection, and security while promoting voluntary compliance and innovation.

The Africa Declaration on Artificial Intelligence, adopted in Kigali, Rwanda on April 4, 2025, sets out a continent-wide vision for ethical, inclusive, and sovereign AI development. It commits signatories to advancing talent, open data frameworks, sovereign compute infrastructure, regional markets, a $60 billion Africa AI Fund, and coordinated institutional governance. The document emphasizes alignment with the African Union Continental Strategy on AI and establishes bodies such as the African AI Scientific Panel and the Africa AI Council.

This OMB memorandum provides guidance to executive departments and agencies to improve their ability to acquire artificial intelligence responsibly, efficiently, and competitively. It establishes requirements for market research, solicitation development, contract terms, intellectual property protection, and vendor lock-in prevention. The document rescinds and replaces the previous OMB Memorandum M-24-18.

This policy brief by Paradigm Initiative analyses Côte d'Ivoire's National AI and Data Governance Strategy, identifying critical gaps in human rights protections, equity considerations, and implementation frameworks. The report highlights the strategy's reliance on outdated legislation, lack of focus on marginalized groups, and absence of clear operational roadmaps or risk assessment mandates. Drawing on comparative insights from Kenya and Brazil, the brief provides concrete recommendations to build a more inclusive, rights-based AI ecosystem in Côte d'Ivoire.

The General Policy for the Safe and Ethical Use of Artificial Intelligence Systems serves as a comprehensive strategic framework for the responsible adoption of artificial intelligence in Oman. Issued on April 1, 2025, it focuses on fostering innovation, supporting developmental sectors, building national capabilities, and ensuring ethical use. The policy contributes to Oman Vision 2040 and aims to strengthen the Sultanate's global position in AI.

This document provides recommendations for the protection of personal data within the scope of Law No. 6698 for developers, manufacturers, service providers, and decision-makers operating in the field of artificial intelligence. Issued by the Personal Data Protection Authority of Turkey, it covers general principles, specific guidelines for developers and decision-makers, and emphasizes privacy by design and human rights protection.

This general policy outlines the framework for the safe, ethical, and responsible adoption of artificial intelligence systems in the Sultanate of Oman. It aims to foster innovation, support economic and developmental sectors, build national capacities, and align legislation with emerging technologies. Furthermore, the policy supports infrastructure development, investment stimulation, and research in alignment with Oman Vision 2040.

This document outlines Israel's National AI Program status and strategic plan for 2021-2026, focusing on advancing AI research, high-performance computing infrastructure, and human capital. It details national goals to integrate AI within industry, the public sector, the education system, and global geotechnological positioning. Additionally, the plan addresses responsible AI regulation, privacy protection, and the socio-economic impacts of emerging AI technologies.

This academic study examines the role of robotics in advancing Society 5.0, focusing on applications in healthcare, urban development, and environmental sustainability. Using an exploratory review of literature from 2016 to 2024, the authors identify key opportunities, technical and economic challenges, and ethical implications such as privacy and autonomous decision-making. The paper concludes by emphasizing the need for comprehensive regulatory frameworks and interdisciplinary collaboration to ensure responsible robotics integration.

This document provides a unified set of guidelines for AI businesses in Japan, integrating and replacing three previous guidelines from the Ministry of Internal Affairs and Communications (MIC) and the Ministry of Economy, Trade and Industry (METI). It sets out human-centric basic principles, shared guidance across the AI lifecycle for developers, providers, and users, and agile governance frameworks. Additionally, it incorporates international frameworks such as the Hiroshima AI Process principles for advanced AI systems.

The Center for AI and Digital Policy urges Uruguay to sign and ratify the Council of Europe Framework Convention on Artificial Intelligence. The document highlights Uruguay's regional leadership in digital government and notes that signing the treaty would reinforce its commitment to human rights, democracy, and the rule of law. It also summarizes key principles, safeguards, and operational scope established by the Council of Europe AI Treaty.

This qualitative study investigates how healthcare professionals perceive and approach ethical issues surrounding the use of social robots in geriatric care for individuals with major neurocognitive disorders. Through semi-structured interviews with 20 professionals in geriatric facilities, the authors identified six core themes covering institutional integration, session preparation, robot introduction, consent and assent, supervision, and observed effects. The study provides preliminary ethical guidelines and practical recommendations for healthcare management and clinical staff to ensure responsible implementation of social robot interventions.

This academic chapter investigates how the presence of social robots influences human ethical deliberation and perspective-taking using heterophenomenological methods. Through a randomized study involving 158 participants across human, robot, and computer facilitation conditions, the authors found that robot-facilitated sessions prompted significantly more justifications involving mental role switching. The study introduces the theoretical construct of sociomorphing to explain unique aspects of human sociality experiences with robots.

This document is a formal comment by the Center for AI and Digital Policy (CAIDP) submitted to the Government of Lesotho on the Second Draft of the Artificial Intelligence Policy and Implementation Plan. CAIDP welcomes Lesotho's initiative to develop a national AI policy aligned with African Union and UNESCO standards. The submission provides four primary recommendations, urging the establishment of red lines against rights-violating AI systems, the adoption of UNESCO AI ethics assessment tools, mandatory requirements for transparency and accountability, and strengthened governance capacity for implementation.