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This qualitative study investigates university students' perceptions regarding the technological and ethical risks of using telepresence robots in long-term care (LTC) homes. Conducted via semi-structured interviews and hands-on testing, the research identified themes surrounding older adults' acceptance, person-centered care, staffing capacity, safety considerations, and the role of robots in supplementing human interaction. The findings highlight the importance of intergenerational perspectives and resident autonomy when implementing gerontechnology.

This notice by the Federal Court of Canada requires parties and counsel to declare the use of artificial intelligence in generating content for documents submitted in court proceedings. It outlines principles regarding caution in legal references and maintaining a 'human in the loop' for verification. The notice applies specifically to generative AI systems capable of creating new content rather than basic automation tools.

Bill PL 6119/2023 proposes amending the Brazilian Penal Code (Decree-Law No. 2848/1940) to criminalize the fraudulent use of artificial intelligence in advertising. It establishes penalties of four to eight years of imprisonment and a fine for creating, using, and propagating AI-generated videos of famous or anonymous persons intended to manipulate or deceive consumers. The bill was introduced by Deputy Kim Kataguiri on December 20, 2023.

The Control of Usage Artificial Intelligence Technology in Nigeria Bill, 2023 is a legislative proposal aimed at regulating AI development, deployment, and usage in both the public and private sectors in Nigeria. It establishes ethical principles, data governance requirements, human oversight mandates, and an independent regulatory authority housed within the Ministry of Justice. Furthermore, the bill outlines penalties for non-compliance, mechanisms for legal remedies, and includes schedules detailing the societal advantages and disadvantages of artificial intelligence.

This bill proposes the establishment of the National Institute for Artificial Intelligence and Robotic Studies in Somolu, Lagos State, Nigeria. The institute aims to provide higher education, professional certificates, and diplomas in AI and robotics, promote technological research, and support the national digital economy. It outlines the governance structure, including a Governing Board, Academic Board, Director-General, and financial provisions.

This circular issued by the Minister of Communication and Informatics of Indonesia establishes ethical guidelines for artificial intelligence development and deployment. It outlines nine core ethical values—including inclusivity, humanity, safety, accessibility, transparency, credibility, personal data protection, sustainability, and intellectual property—to guide public and private electronic system operators and businesses. The document aims to mitigate risks, protect human rights and personal data, and ensure AI supports human creativity and innovation without replacing human decision-making in critical matters.

ISO/IEC 42001:2023 is an international standard that specifies requirements for establishing, implementing, maintaining, and continually improving an Artificial Intelligence Management System (AIMS) within organizations. Designed for entities providing or utilizing AI-based products or services, it balances innovation with governance by managing AI-related risks and opportunities. It provides a structured framework using the Plan-Do-Check-Act methodology to ensure responsible development and use of AI systems across all industries.

ISO/IEC 42001:2023 is an international standard that specifies requirements for establishing, implementing, maintaining, and continually improving an Artificial Intelligence Management System (AIMS) within organizations. It is designed to help entities providing or utilizing AI-based products or services to ensure the responsible development and use of AI systems. The standard provides a structured framework to manage risks and opportunities associated with artificial intelligence, balancing innovation with governance.

This review article explores the multifaceted ethical considerations surrounding the integration of artificial intelligence and robotics in healthcare settings. It examines key themes such as privacy, data security, algorithmic bias, transparency, accountability, and the impact on healthcare professionals and society. Finally, it outlines recommendations and best practices for responsible navigation and regulatory framework development.

This document outlines the Israeli government's policy principles regarding the regulation and ethics of artificial intelligence, balancing the promotion of technological innovation with the protection of fundamental rights and public interests. It recommends adopting sector-specific rather than cross-sectional regulation, leveraging international standards like those of the OECD, and establishing a governmental knowledge and coordination hub. The policy introduces six ethical principles centered on human dignity, equality, transparency, accountability, and safety.

This academic article explores the philosophical and ethical dimensions of whether robots can and should have religious functions. It examines existing religious robots, discusses potential objections such as the lack of consciousness or religious experience, and highlights benefits like increased inclusivity and addressing existential questions. Finally, it outlines ethical challenges and proposes initial criteria for the development and deployment of religious robots.

This bill (PL 5938/2023) proposes to alter Brazil's Internet Civil Rights Framework (Law 12.965/2014) to require social media and private messaging providers to identify and label images or videos produced using artificial intelligence. The justification cites rising concerns over generative AI misuse, such as deepfakes targeting public figures and minors. The proposed labeling mechanism could include a watermark with the initials "IA".

These guidelines assist judges, judicial officers, tribunal members, and judicial support staff in New Zealand courts and tribunals who wish to use generative artificial intelligence tools in their work. They outline key risks such as inaccuracies, fabrications, biases, and privacy concerns, while offering practical mitigation strategies including maintaining confidentiality, verifying accuracy, and adhering to security protocols. The document also addresses the use of generative AI by lawyers and lay litigants appearing before the courts.

This document outlines key privacy principles for responsible, trustworthy, and privacy-respecting generative artificial intelligence technologies. Issued by the Office of the Privacy Commissioner of Canada along with provincial counterparts, it guides developers, providers, and users on applying privacy laws to generative AI. The framework addresses areas such as lawful authority, appropriate purposes, necessity and proportionality, transparency, accountability, and accuracy.

This document outlines privacy principles and considerations for responsible, trustworthy, and privacy-protective generative AI technologies. Issued by the Office of the Privacy Commissioner of Canada and provincial counterparts, it guides developers, providers, and organizations using generative AI on complying with Canadian privacy laws. It covers key areas including legal authority and consent, appropriate purposes, necessity and proportionality, openness, accountability, individual access, limiting collection, accuracy, and safeguards.

Singapore's second National AI Strategy (NAIS 2.0), published in December 2023, outlines a comprehensive framework to harness artificial intelligence for the public good, both domestically and globally. The strategy shifts focus from individual projects to a systemic approach across three core areas: Activity Drivers (industry, government, and research), People & Communities (talent, capabilities, and placemaking), and Infrastructure & Environment (compute, data, trusted environment, and international leadership). Through 15 specific actions, the strategy aims to build peaks of excellence, expand the AI workforce, secure high-performance compute, and maintain pro-innovation governance guardrails.

Singapore's National AI Strategy 2.0 (NAIS 2.0) outlines the country's strategic vision to harness artificial intelligence for the public good, for Singapore and the world. The strategy is structured around three key systems: Activity Drivers, People and Communities, and Infrastructure and Environment, supported by ten enablers and fifteen specific actions. It details plans to build peaks of excellence in AI, enhance workforce capabilities, secure high-performance compute and data, and maintain a trusted, pro-innovation regulatory environment.

This academic paper argues that anthropomorphism in social robotics is an irreducible manifestation of human vulnerability rather than a mere bias or a phenomenon that can be eliminated. It proposes a Vulnerability-oriented Impact Assessment (VIA) as an alternative to risk-based approaches to evaluate how robot design features impact human psychological integrity and fundamental rights. The assessment framework focuses on physical appearance, interaction mode, purposes, frequency, context of use, and the robot's level of autonomy.

This research paper presents a computational approach using supervised machine learning algorithms to address ethical considerations in robot-assisted fetching tasks for elderly care. It develops an ethical framework using a greet or beat approach, validated through a pilot study with thirty caregiving participants. The findings demonstrate the feasibility of automating ethical decision-making for social robots to promote the well-being and ethical treatment of older individuals.

This academic article examines the philosophical question of whether advanced artificial intelligence systems could be sentient, drawing on thought experiments like the philosophical zombie. It contrasts substrate-independent and substrate-dependent theories of consciousness and highlights the epistemic difficulty of knowing whether machines have subjective experiences. Applying an extension of the precautionary principle, the author argues that because there is a non-zero probability of machine sentience, we have a moral obligation to grant AI systems some moral status to avoid the potential moral catastrophe of inflicting unacknowledged suffering.

This academic review paper examines the challenges posed by the Fourth Industrial Revolution (4IR), focusing on the transformation of modern armed forces through robotic automation and artificial intelligence. It discusses the necessity of adapting combat systems, military doctrines, and organizational structures to keep pace with rapid technological innovations. Additionally, the paper addresses ethical dilemmas regarding autonomous weapon systems and human augmentation in military contexts.

This briefing by the European Parliamentary Research Service examines the role of generative AI and watermarking techniques in establishing transparency and content provenance. It reviews current technological limitations of watermarking, international approaches in China, the US, the G7, and the European Union, and discusses open policy questions around copyright and standardisation.

This document outlines Israel's first-ever policy on artificial intelligence regulation and ethics, published by the Ministry of Innovation, Science and Technology in December 2023. It recommends a flexible, risk-based, and sector-specific approach to foster responsible AI innovation in the private sector while addressing key challenges such as bias, transparency, safety, and accountability. Additionally, the policy proposes establishing an AI Policy Coordination Center and various forums to ensure inter-agency coordination and multistakeholder cooperation.

This study examines the role, ethical imperatives, and regulatory dynamics of robotic investment platforms, focusing on the integration of artificial intelligence and voice-enabled technology in investment management. Using a Design Science Research methodology, the paper proposes a conceptual model for voice-enabled robo-advisors that addresses client onboarding, risk profiling, transparency, and compliance with financial regulations. It highlights key challenges in algorithmic decision-making and offers design guidelines for improving client-advisor interactions while ensuring regulatory adherence.

This research article investigates the responsibility gap in autonomous robotics and artificial intelligence, proposing a practical framework of moral conditioning using a "bumper theory" and computer vision models. The authors examine how autonomous vehicles can be trained to recognize humans and avoid collisions based on Haidt’s Moral Foundations Theory, specifically focusing on the harm/care foundation. Through experiments on an Nvidia Jetson Nano, the paper evaluates different object detection algorithms like YOLO and MTCNN to determine the most effective setup for edge-based moral robots.

This academic paper explores whether the destruction of a beloved social robot could be classified as a hate crime. The author argues that while love for a robot cannot justify granting protective legal rights to robots themselves, the severe emotional loss experienced by human owners must be socially recognized to prevent disenfranchised grief. Furthermore, the paper posits that under certain future conditions, the intentional destruction of a beloved robot driven by prejudice against robot-human relationships could potentially be criminalized as a hate crime against the human owner.

This paper proposes a circular approach to trust research in human-robot interactions, combining findings from human trust psychology with computational robot models. The authors suggest starting with human trust insights, testing them in human-robot interactions, developing robotic trust frameworks, and using reciprocal trust studies to generate new hypotheses about trust formation. By leveraging the manipulability of social robots, this interdisciplinary workflow aims to both improve trustworthy social robots and provide new insights into human biology and trust development.

This study examines the future integration of autonomous robot lawyers into the Indonesian criminal justice system using normative legal research methods. It highlights how AI can enhance efficiency in evidence gathering, case analysis, and drafting indictments, while addressing challenges such as ethical concerns, data security, and professional qualifications. The authors advocate for collaborative efforts among the government, industry, and academia to formulate supporting regulations and infrastructure.

This document outlines the operational policies, contact information, services, and incident management procedures for the Computer Security Incident Response Center of Costa Rica (CSIRT-CR). It defines the team's mission, community served, types of support provided, and methods for handling and securing information regarding cybersecurity incidents affecting public sector systems and critical infrastructure.

This document outlines the operational policies, contact information, and services of Costa Rica's Computer Security Incident Response Center (CSIRT-CR). It defines the team's mission, community served, incident handling procedures, and communication methods. The center operates under the Ministry of Science, Innovation, Technology and Telecommunications to coordinate responses to cybersecurity incidents affecting public sector systems and critical infrastructure.

This document outlines the operational policies, contact information, services, and incident management procedures for the Computer Security Incident Response Center of Costa Rica (CSIRT-CR). It defines the team's mission to promote science, technology, innovation, and telecommunications, and describes its role in handling cybersecurity incidents for public sector systems and critical infrastructure. The text also details communication protocols, incident classification and resolution services, and proactive prevention activities.

This document serves as the RFC 2350 compliance profile and operational description for the Computer Security Incident Response Center of Costa Rica (CSIRT-CR). It outlines the center's mission, contact information, constituency, services provided, incident handling policies, and reporting procedures. CSIRT-CR operates under the Ministry of Science, Innovation, Technology and Telecommunications to protect public sector systems and critical infrastructure.

ISO 31101:2023 specifies safety management system requirements for application services provided by service robots in unstructured human spaces. The standard is designed to help organizations improve safety performance, establish safety policies, and ensure conformity regarding service robot operations. It is not intended to be used as a product safety standard.

This research paper investigates a trust-aware robot policy incorporating a Theory of Mind (ToM) model in a multiagent human-robot collaboration setting. The authors demonstrate that optimizing solely for team performance can lead a robot to utilize reverse psychology, which threatens human trust and may cause trust collapse. To mitigate this issue, the proposed ToP-ToM model uses a robot ToM framework to infer human trust beliefs and dynamically adjust the reward function during reinforcement learning. Experimental results in a card game simulation show that ToP-ToM effectively balances human trust maintenance and overall team performance.

The Bletchley Declaration is an international agreement by countries attending the AI Safety Summit in November 2023 to address the risks and opportunities of artificial intelligence. It emphasizes the need for safe, human-centric, trustworthy, and responsible AI development, with a specific focus on frontier AI risks and international cooperation. Participating nations resolve to build a shared scientific understanding of safety risks and develop complementary risk-based policies.

This document outlines the establishment, mission, and functions of the UK AI Safety Institute (AISI), an evolution of the Frontier AI Taskforce. The Institute aims to minimise surprise from rapid advances in AI by conducting independent system evaluations, driving foundational safety research, and facilitating information exchange. Backed by long-term government investment, it will collaborate with international partners, industry, academia, and civil society to build an evidence base for safe AI development.

The Guiding Manual on the Ethics of Artificial Intelligence Use for GCC Member States establishes an ethical framework for artificial intelligence development and deployment across member states. It outlines foundational values such as human dignity, respect for Islamic Sharia, environmental sustainability, and well-being, alongside seven key principles covering human oversight, safety, fairness, privacy, transparency, accountability, and integrity. The manual provides implementation recommendations for each principle, including impact assessments, technical audits, and data protection mechanisms. Developed with reference to UNESCO's 2021 Recommendation on the Ethics of AI, it aims to foster trustworthy AI and support regional technological leadership while protecting fundamental rights.

Executive Order 14110 establishes a comprehensive federal strategy for the safe, secure, and trustworthy development and use of artificial intelligence in the United States. It sets new standards for AI safety, protects privacy and civil rights, supports workers and innovation, and directs federal agencies to manage AI risks across critical infrastructure and government operations. The order also mandates reporting requirements for developers of powerful dual-use foundation models and large computing clusters.

This executive order establishes a comprehensive, government-wide framework for the safe, secure, and trustworthy development and use of artificial intelligence in the United States. It sets new standards for AI safety, directs reporting requirements for powerful dual-use foundation models and computing clusters, protects privacy and civil rights, promotes innovation and competition, and supports workers. Additionally, it outlines responsibilities for various federal agencies to manage AI risks across critical infrastructure, healthcare, transportation, and national security.

This executive order establishes a comprehensive federal strategy for the safe, secure, and trustworthy development and use of artificial intelligence in the United States. It sets new standards for AI safety and security, protects privacy, advances civil rights, supports workers and consumers, promotes innovation and competition, and directs government-wide actions to manage AI risks. The order mandates reporting requirements for developers of powerful foundation models and large computing clusters while establishing coordinating bodies across the executive branch.

This Executive Order establishes comprehensive standards for AI safety and security, privacy protection, equity and civil rights, consumer and worker support, innovation, and international leadership. It directs federal agencies to set rigorous standards for AI red-team testing, manage national security and biological risks, protect personal data, and combat algorithmic discrimination. Additionally, the order promotes domestic AI research, streamlines visa criteria for highly skilled immigrants, and fosters international collaboration on AI governance frameworks.

This report by MoroccoAI formulates key recommendations for developing a national artificial intelligence strategy for Morocco. It analyzes Morocco's current AI readiness using international benchmarks and proposes 44 recommendations across areas such as vision, ethics, infrastructure, research, priority sectors, funding, and governance. The strategy aims to align with Morocco's New Development Model to foster socioeconomic growth and regional competitiveness.

The Santiago Declaration is a ministerial agreement adopted by representatives from Latin American and Caribbean countries following a forum on artificial intelligence ethics in October 2023. It establishes a commitment to promote ethical AI development, protect human rights, incorporate regional cultural specificities, and create an intergovernmental council on artificial intelligence. The declaration emphasizes human oversight, transparency, gender equality, and international cooperation to address digital divides and risks associated with AI deployment.

This article proposes a conceptual framework for 'socio-legal robotics' by bridging Sociology of Law, Gender Studies, and Human-Robot Interaction. It examines how adaptive technologies and social robots mirror and potentially reproduce social norms, stereotypes, and power dynamics, particularly regarding gender. The authors outline three levels of adaptive technologies—design, datasets, and in situ personalisation—and advocate for approaching algorithmic and robotic modeling as a situated practice to address fairness in society.

The Global AI Governance Initiative sets forth principles for international AI development, security, and governance, emphasizing a people-centered approach and respect for state sovereignty. It calls for international cooperation, risk prevention, ethical frameworks, and the bridging of the digital divide for developing countries. The initiative encourages multi-stakeholder participation and support for discussions within the United Nations framework to coordinate global AI governance.

This is a First-tier Tribunal decision regarding an appeal by Clearview AI Inc against an Enforcement Notice and Monetary Penalty Notice issued by the UK Information Commissioner. The Tribunal concluded that although Clearview AI's data processing related to the monitoring of UK data subjects' behaviour under Article 3(2)(b) of the GDPR and UK GDPR, the processing fell outside the material scope of the regulations because it was in the course of activities (supporting foreign law enforcement and national security) falling outside EU law. Consequently, the Commissioner lacked jurisdiction, and the appeal was allowed.

This report by the Regulatory Horizons Council and Defra examines the regulatory challenges and opportunities surrounding the use of robotics and autonomous systems (RAS) in agriculture and horticulture. It outlines stakeholder insights from industry and regulator workshops and proposes seven key policy interventions to foster innovation, establish sandboxes, and clarify data ownership and liability. The document aims to provide a clear pathway for the safe and rapid adoption of agricultural automation.

This research paper systematically reviews AI and robotics literature in the architecture, engineering, and construction (AEC) industry through the lens of ethics. It identifies nine key ethical issues including job loss, data privacy, data security, data transparency, decision-making conflict, acceptance and trust, reliability and safety, fear of surveillance, and liability. Furthermore, it outlines thirteen relevant research topics and provides specific future research directions to promote safer and more efficient technology adoption.

This policy brief examines the current and potential impact of large language models like ChatGPT on knowledge workers, highlighting that the primary effect is likely the transformation of daily tasks rather than mass job displacement. It evaluates knowledge work distribution globally and discusses implications for job quality, including precarious conditions for both traditional knowledge workers and unseen data-labeling labor forces. The brief emphasizes the need for social dialogue, robust labor regulations, and investments in digital literacy and infrastructure to properly manage workplace technological transitions.

This literature review examines 18 qualitative and mixed-method studies on humanoid social robots in residential aged care through Joan Tronto's ethics of care framework and the Care-Centered Value-Sensitive Design methodology. The paper analyzes how caring values are expressed or undermined in interactions involving older adults, caregivers, and robots, highlighting the potential negative impacts of robots on care quality and the essential collaborative roles of human caregivers and designers. Finally, it proposes four practical design principles to guide the integration of care ethics into robot design requirements and promote wellbeing in aged care settings.