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This opinion article explores the ethical implications of teaching robots to deceive humans. It discusses military acceptance of deception alongside civil concerns, contrasting deontological views against consequentialist benefits in areas like search and rescue or dementia patient management. Ultimately, the author calls for greater discussion and potential guidelines regarding the risks of robotic deception.

This academic article examines the bioethical and theological challenges raised by human enhancement technologies, including genetic engineering, robotics, and nanotechnology. It uses Christian anthropological views, particularly the concept of imago Dei and human vocation, to evaluate transhumanist aspirations and the limits of human nature. The paper highlights key ethical questions surrounding human suffering, vulnerability, dignity, and the potential exacerbation of socioeconomic inequalities.

This document is the UK Government's official response to the House of Lords Artificial Intelligence Select Committee report titled AI in the UK: Ready, Willing and Able? It details the government's positions, ongoing initiatives, and commitments regarding artificial intelligence development, ethics, data trusts, skills, healthcare deployment, and regulation. The response outlines how the government is implementing its Industrial Strategy and establishing key bodies such as the Office for Artificial Intelligence and the Centre for Data Ethics and Innovation.

This academic paper reviews the ethical aspects and social implications of robotics and automation (R&A). It outlines fundamental philosophical and ethical questions, examines major branches of roboethics such as medical, assistive, social, autonomous vehicle, and military robotics, and discusses automation technology ethics and social impacts. Ultimately, it highlights the ongoing need to develop practical ethical rules and codes for designers, professionals, and users of R&A products.

This academic paper examines the meta-ethical implications at the interface of robotics, ethics, psychology, and the social sciences. It explores whether robots function as agents of cultural transmission, whether cultural shifts driven by technology are issues for roboethics, and how biases in the technological imagination can be avoided. Ultimately, the paper questions the societal vision embedded in robot design and warns of the risk of technological determinism compromising moral agency.

The Data and AI Ethics Framework provides guidance for UK public sector organizations on how to use data and data-driven technologies responsibly. It sets out core principles and activities to guide the responsible development, procurement, and use of data and artificial intelligence in government. Teams working on AI or data projects are also directed to use an accompanying self-assessment tool to capture information and share learnings.

This article provides a legal and ethical analysis of robot companions, arguing that robots should be classified as objects and products rather than bearers of rights. It addresses key concerns such as dehumanization, user deception, privacy, and liability, while sketching potential strategies and regulatory approaches for legislators. The analysis specifically takes into account the European Parliament's 2017 report and recommendations on civil law rules on robotics.

This academic article examines the legal and regulatory framework surrounding small autonomous agricultural robots ("agribots") in the UK and EU. It investigates liability frameworks under tort, contract, and criminal law, addressing product defects, health and safety obligations, environmental compliance, and data protection. The authors propose conceptual regulatory frameworks and reforms to accommodate robot autonomy and promote technological innovation.

This academic paper examines how normative ethical theories (such as deontological ethics, utilitarianism, and virtue ethics) apply to artificial moral agents and social robots. It explores the challenges of implementing moral judgment in autonomous systems, noting that social robots require agent-centered normative ethics and appropriate human-robot interaction capabilities. The author discusses the limitations of traditional rule-based frameworks and highlights the necessity of developing appropriate moral agent characteristics for social robots.

This report analyses the potential impact and opportunities of artificial intelligence on New Zealand's society and economy. It provides an overview of the domestic AI landscape, economic modelling of AI adoption across 18 industries, and societal implications including education, health, and ethics. Finally, it sets out six core themes and practical recommendations for government and industry to ensure New Zealand builds a coordinated strategy for AI.

This document outlines the 2018-19 budget appropriations and explanations for outcomes and programs within the Industry, Innovation and Science sub-portfolio of the Australian Government. It details strategic directions, resource statements, and specific budgetary measures, including funding allocated to building Australia's artificial intelligence capability to support business. The statements provide financial transparency and accountability to Parliament regarding planned expenditure on science, commercialisation, and industry development.

This report examines the potential impact and opportunities of artificial intelligence on New Zealand's society and economy. It provides an analysis of the national AI landscape, economic benefits, labour market impacts, and societal implications, concluding with recommendations for a coordinated national AI strategy.

This article discusses the ethical dimensions of medical robotics from an engineering and historical perspective, highlighting the dual-use nature of robotics research and the responsibilities of developers. It reflects on early medical robotics conferences, the evolution of minimally invasive robotic systems, and the ethical dilemmas surrounding robotic technology deployment in clinical settings. The author emphasizes that robotics research involves societal, philosophical, and ethical considerations beyond mere technical achievement.

This document outlines the implementation guidelines for the public policy online participation mechanism in Taiwan, allowing eligible citizens to submit proposals, participate in endorsements, and engage in policy and regulatory consultations. It establishes the procedures for proposal verification, public co-signing thresholds, and mandatory agency response timelines. The framework aims to enhance transparency and encourage civic involvement in governmental policy-making.

This article examines the challenges and ethical issues surrounding the use of robots in aged care, considering demographic pressures and public attitudes. It argues that while robots cannot provide true conscious care, behaving as if they care may be sufficient to promote elderly well-being and mitigate care crises. Ethical concerns such as deception and dignity are discussed in light of potential benefits for elderly independence and companionship.

This academic paper examines the concept of value alignment in artificial intelligence through the lens of Alan Turing's early call for fair play for machines. The author argues that Turing's imitation game can be reinterpreted as a test for minimal value alignment rather than a benchmark for intelligence or moral agency. Finally, the paper applies this fair play framework to argue that extending rights to service robots operating in public spaces encourages an alignment of human and machine interests.

This academic paper explores the ethical implications of natural language generation algorithms in human-robot interaction. It argues that a robot simply asking for clarification may unintentionally communicate willingness to perform an unethical action, thereby negatively influencing human teammates. The work highlights potential gaps in how moral competence is communicated in conversational robotics.

This academic paper examines the legal challenges and socio-economic impacts of industrial robotic systems, specifically focusing on how the displacement of human labor affects employment rates, job security, and worker health and safety. It evaluates these developments against numerous international human rights instruments, regional covenants, and labor standards to determine whether the expansion of industrial robotics violates established protections. The authors conclude that the unchecked growth of robotic automation threatens employment opportunities, increases income inequality, and raises workplace safety hazards in a manner contrary to multiple international human rights guarantees.

This regulation outlines the hazard prevention standards and safety measures for industrial robots in workplaces. It establishes employer responsibilities regarding robot design features, control panels, emergency stops, protective fencing, and safe operational procedures. The standards aim to protect workers from physical hazards associated with automated machinery and collaborative robot operations.

This academic paper explores how robots of various types can be integrated into the urban landscape by examining two perspectives: the responsible design and use of urban robots, and robots as part of responsible urban innovations. It introduces the concept of designing for "cityness" to promote desirable qualities of city life and links urban robotics to discussions on urban justice and value-sensitive design. Ultimately, the paper suggests that urban robots should adhere to basic responsible research and innovation (RRI) principles while addressing specific challenges faced by cities.

This paper investigates the legal, regulatory, and ethical challenges arising from the integration of physical robotic systems with cloud-based services, known as cloud robotics. It examines the fragmented regulatory framework, the complexities of attributing liability across multi-party ecosystems, and the difficulties in complying with data protection regulations such as the GDPR. The authors highlight the need for a balance between private standard-setting and public policymaking to support the safe and effective deployment of these cyber-physical systems.

This article examines the compatibility of law and robotics by comparing robotic and human legal-decision making. It highlights that even if a robot and a person reach the same legal decision with identical factual consequences, humans cannot relate to a robot in the same way they relate to a human decision-maker. This lack of relatability undermines trust in the fairness of the legal system, creating cognitive incompatibilities between law and robotics.

This academic article examines the doctrinal, legal, ethical, and socio-moral problems associated with developing and applying robotic technologies and artificial intelligence systems, with a particular focus on autonomous unmanned underwater vehicles. The authors analyze current gaps in national legislation and international legal order, arguing for advanced legal modeling and interdisciplinary research to regulate emerging human-machine interactions. They propose the development of comprehensive regulatory programs, ethical standards, and liability insurance mechanisms for autonomous systems.

This academic paper analyzes the legal, doctrinal, and ethical challenges associated with the integration of robotic technologies and artificial intelligence systems, specifically examining autonomous underwater vehicles. The authors highlight the absence of comprehensive legal frameworks and ethical standards governing these technologies and argue for proactive legal modeling, the development of robotic law as a distinct legal branch, and the formalization of ethical norms. Furthermore, the paper emphasizes that states establishing effective legal models for AI and robotics will gain significant competitive advantages in the international arena.

This discussion paper by NITI Aayog outlines India's national strategy for artificial intelligence under the banner of #AIforAll, focusing on inclusive growth and social impact. It identifies key focus areas for AI intervention including healthcare, agriculture, education, smart cities and infrastructure, and smart mobility and transportation. Furthermore, the document addresses core challenges such as data ecosystems, research gaps, skilling, and issues related to ethics, privacy, security, and intellectual property.

This discussion paper by NITI Aayog outlines India's national strategy for Artificial Intelligence, emphasizing the philosophy of #AIforAll to drive inclusive economic growth and social development. It proposes interventions across five key focus areas—healthcare, agriculture, education, smart cities and infrastructure, and smart mobility and transportation. Furthermore, the strategy recommends establishing a two-tiered research ecosystem consisting of Centers of Research Excellence (COREs) and International Centers for Transformational Artificial Intelligence (ICTAIs), alongside a multi-stakeholder National AI Marketplace (NAIM).

This discussion paper by NITI Aayog outlines India's national strategy for artificial intelligence under the brand '#AIforAll'. It focuses on leveraging AI for social and inclusive growth across critical sectors like healthcare, agriculture, education, smart cities, and mobility. The document also addresses key challenges such as research capacity gaps, data ecosystem barriers, skill shortages, and ethical considerations.

This discussion paper examines the benefits and risks of artificial intelligence tools in workplaces for occupational safety and health (OSH). It explores AI applications across human resources, cobots, chatbots, wearables in manufacturing, and gig work platforms. Finally, it outlines international stakeholder responses, policy developments, and training recommendations to mitigate psychosocial and physical risks.

This European Parliamentary Research Service study examines the public debate surrounding artificial intelligence, addressing common fears about automation, technological unemployment, and existential risk. It evaluates both the potential benefits and risks of AI across various societal and economic sectors. The document aims to provide policymakers with a balanced overview to inform future regulatory approaches.

This document outlines the U.S. Department of Defense's strategy to accelerate the adoption of artificial intelligence to enhance national security and operational effectiveness. It establishes the Joint Artificial Intelligence Center (JAIC) to lead enterprise-wide AI initiatives, focusing on mission-critical applications, workforce development, ethical AI principles, and external partnerships. The strategy emphasizes human-centered AI deployment to protect servicemembers, improve efficiency, and maintain a competitive military advantage against strategic competitors.

This research paper explores the integration of ethics in robotic cities by examining the intersection of the Internet of Robotic Things (IoRT), distributed artificial intelligence, and socio-technical systems. It highlights that urban infrastructure challenges are super-wicked problems that cannot be solved purely through numerical optimization or isolated laboratory tests. The authors propose a preliminary methodology combining Problem Structuring Methods (PSM), knowledge co-creation with stakeholders, and general system entropy measures to achieve ethical and stable autonomous urban environments.

Salesforce's Trusted AI principles outline five core commitments—responsible, accountable, transparent, empowering, and inclusive—to guide the safe and ethical development of artificial intelligence. Established in 2018 through company-wide collaboration, these principles are operationalized through practices such as human rights reviews, model cards, and the Salesforce Trust Layer architecture.

The UAE National Strategy for Artificial Intelligence 2031 outlines a comprehensive roadmap to position the United Arab Emirates as a global leader in artificial intelligence by 2031. The strategy details eight strategic objectives focusing on brand reputation, priority sector deployment, ecosystem development, smart government customer services, talent acquisition and training, world-leading research, data infrastructure, and strong governance and regulation.

This academic paper presents a mathematical explanation of an ethical reasoning mechanism called EEGS for social robots. It argues that while emotion believability is necessary, robots require a higher-level cognitive mechanism to decide whether expressing a specific emotion is socially appropriate. The model helps social robots reach socially acceptable emotional states when multiple emotions are triggered simultaneously.

This document, Ethically Aligned Design (Version 2), is a comprehensive public discussion draft created by The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems. It establishes guiding principles for prioritizing human well-being in the design, development, and deployment of autonomous and intelligent systems (A/IS). The framework covers general principles, value embedding, methodologies, future technology concerns, economics, law, affective computing, and mixed reality.

This academic paper examines the limitations of the responsible robotics and AI initiatives, arguing that inherent theoretical complexities in assigning responsibility require a complementary human rights framework. The authors propose a human rights regime directed specifically against harms arising from robotics and artificial intelligence to invert the power relationship between humans and technology. The proposed framework aims to both protect and empower people against the challenges introduced by advanced technologies by placing humanness at the core.

This document is a concept note for the 9th African Union Private Sector Forum and African Leaders in Dialogue Dinner, held in November 2017 in Pretoria, South Africa. It outlines a three-day agenda focusing on accelerating Africa's industrialization through digitization, youth techpreneurship, and the adoption of technologies like artificial intelligence, robotics, and the Internet of Things. The event aims to foster public-private partnerships across sectors such as energy, smart cities, agriculture, healthcare, and finance to harness digital transformation for sustainable development.

This academic paper investigates the philosophical question of whether social robots can and should have rights, examining the is-ought problem and four existing modalities in robot ethics. It evaluates instrumentalist, property-based, and sentiment-based approaches to machine moral status, and proposes an alternative relational framework influenced by Emmanuel Levinas. The author argues for a reorientation of moral patiency that resists anthropocentrism and keeps ethical consideration permanently open to others.

This review examines how to grow the artificial intelligence industry in the United Kingdom by addressing challenges in data access, skills supply, research commercialization, and industry uptake. Authored by Professor Dame Wendy Hall and Jérôme Pesenti, the report sets out 18 recommendations for government, industry, and academia to work together. It highlights potential economic and social benefits of AI and proposes measures such as establishing Data Trusts, creating AI fellowships, and launching an industry-funded Master's program.

This academic book chapter examines the integration of safety and trustworthiness as primary design goals for human-assistive robots that directly interact with people. It focuses on verification and validation techniques, combining formal methods, simulation-based testing, and experimental evaluation to assess user trust. The text highlights the necessity of advanced verification methods to match the growing autonomy and sophisticated reasoning capabilities of robots operating in open environments.

This academic chapter addresses the normative and legal challenges of artificial intelligence and robotics through a threefold legal perspective focusing on innovation governance, legal responsibility in the civilian sector, and the risk of over-regulation hindering research. It proposes leveraging secondary rules of law, such as legally de-regulated special zones, to overcome current legal deadlocks and better shape primary legal frameworks.

This research paper reports on three user studies examining how human regulatory authorities interact with highly automated robot ecologies (HARE). The authors analyze how factors such as regulatory power, robot adaptivity, and decision support impact the social welfare and efficiency of autonomous multi-agent systems. The results suggest that excessive regulatory power and high robot adaptivity can paradoxically diminish social welfare by making it harder for human regulators to model the system.

This paper explores the types of artificial intelligence applications and current and future uses of AI in government delivery of citizen services, with a focus on citizen inquiries and information. It outlines five categories of AI use cases in citizen services: answering questions, filling out and searching documents, routing requests, translation, and drafting documents. Finally, it offers six key strategies for governments to consider as they implement AI, addressing goals, citizen input, existing resources, privacy, ethics, and employee augmentation.

This academic chapter examines the legal and ethical framework surrounding non-social personal care robots, specifically focusing on person carrier robots and physical assistant robots. It highlights the absence of concrete binding regulations while addressing critical concerns such as data protection compliance with the GDPR, liability issues related to autonomy, privacy, and human dignity. Ultimately, the paper provides an overview of the regulatory gaps and challenges facing the introduction of assistive robotics technologies into the market.

Issued by the State Council of China, the Next Generation Artificial Intelligence Development Plan outlines China's comprehensive strategic roadmap to lead global AI innovation by 2030. The document establishes phased developmental goals through 2020, 2025, and 2030, targeting breakthroughs in foundational theories, key generic technologies, intelligent economies, and social governance. It details supporting measures spanning legal and ethical norms, standards, safety assessment systems, labor force training, and extensive public popularization.

This academic paper proposes replacing Asimov's Three Laws of Robotics with the information-theoretic concept of empowerment as a generic heuristic for robot behavior. The authors demonstrate through proof-of-principle scenarios how robot empowerment, human empowerment, and transfer empowerment can operationalize concepts such as self-preservation, safety, and compliance. The framework allows autonomous robots to generate appropriate behaviors without relying on explicit natural language rule comprehension or external reward structures.

This own-initiative opinion by the European Economic and Social Committee examines the consequences of artificial intelligence on the digital single market, production, consumption, employment, and society. It highlights both the great potential of AI technologies to improve lives and the complex societal challenges and risks they carry in areas such as labor, safety, privacy, and ethics. The document emphasizes the need for a broad, society-wide approach to address these rapid developments.

This academic article examines the assertion that humans rather than robots are responsible moral agents, analyzing the philosophical and biological arguments surrounding robot ethics. It explores why robots lack the biological and social foundations of morality, questions whether designing robots to comply with existing laws is sufficient, and argues that robots should not be placed in social roles or situations requiring moral judgment. The paper contends that maintaining human control and responsibility in decision-making is vital as autonomous systems and robots become more prevalent.

This academic article addresses the ethical challenges in soft robotics and human-robot interaction (HRI), particularly regarding tactile engagement. The authors propose that soft-bodied robots must balance tactile engagement against emotional manipulation and model intimacy on bonding with a tool rather than a person. Furthermore, designers should ensure that soft bodies and surfaces deflect users from personally and socially destructive behaviors.

The Cloud First Policy sets out a mandatory guiding framework for Bahraini government ministries and agencies to adopt cloud computing solutions as the primary delivery model for information and communication technology (ICT) procurement. It aims to reduce costs, increase security, improve productivity, and enhance citizen services by leveraging standardized, accredited cloud infrastructure. The policy outlines service and deployment models, security principles, data classification, and the specific roles of government entities, the Information and eGovernment Authority (iGA), and governance committees.