Records

This guidance document from Ofgem sets out good practices for the ethical, safe, secure, fair, and environmentally sustainable adoption of artificial intelligence within Great Britain's energy sector. It covers governance and policies, risk management, competencies, and sector-specific examples ranging from consumer interactions to cyber-physical systems. The guidance complements existing legal, regulatory, and licensing obligations without replacing them.

This undergraduate portfolio combines a technical capstone project on radar-based SLAM for ego-motion estimation in autonomous systems with an STS research paper analyzing the ethical and societal implications of machine perception. The technical component details the implementation of algorithms like the Kabsch algorithm and RANSAC to process noisy radar data for motion reconstruction. The STS component examines algorithmic governance, technological momentum, and the distribution of responsibility in safety-critical autonomous technologies. Together, the work argues that technical development and ethical analysis are inseparable, highlighting the need for transparency and cautious deployment.

This undergraduate technical and STS thesis report examines two distinct topics: a software engineering project at Meta Platforms to improve translation worker productivity tracking via session-logging and data pipelines, and an ethical analysis of emotionally intelligent AI in humanoid robots. The technical report details the creation of a session-logging system and pipeline capturing 840,000 daily translation events to improve metric accuracy. The STS paper reviews the ethical challenges of deploying emotionally intelligent machines to vulnerable populations and argues that transparency alone is insufficient to prevent psychological harm.

This implementation opinion provides guidance on the standardized application and innovative development of artificial intelligence agents. It outlines requirements for guiding the orderly growth, technical application, and governance standards of intelligent agents in relevant sectors. The document aims to promote technological advancement while ensuring safety and normative oversight.

This student research paper examines the ethical and regulatory challenges of autonomous robotic governance through a case study on designing a waste collection robot. The author analyzes gaps in current legal frameworks regarding accountability and discusses how proactive governance and ethical development can mitigate risks associated with deploying autonomous systems in public spaces. The work highlights the limitations of reactive regulations and advocates for embedding governance mechanisms directly into the engineering design process.

This academic paper explores the ethical, cognitive, and epistemic implications of introducing AI-supplemented smart-hive technologies into honeybee colonies to form a triadic biohybrid system of bees, humans, and technology. Using an enactive framework of embodied cognition, the authors examine animal sentience, participatory sense-making, and relational responsibilities within these mixed collectives. The paper argues that non-autonomous AI tools act as structural mediators that reshape interactions and challenge traditional boundaries between nature and technology.

This paper proposes a redundancy-adjusted Artificial Age Score decision support system (AAS-DSS) for oversight-aware human-robot collaboration. The framework converts six normalized event components into consistency scores and a logarithmic penalty, adjusted through a conceptual redundancy structure. It provides an interpretable oversight-support layer that separates structural decision burden from mandatory human review and supervisory monitoring.

Maryland Senate Bill 720 (Artificial Intelligence Ready Schools Act) requires the Maryland State Department of Education (MSDE) to provide AI guidance, rubrics for tool evaluation, and professional development to local school systems. Local school systems must adopt AI policies aligned with State guidance, designate an AI coordinator, and procure AI tools consistent with Department of Information Technology standards. Additionally, the bill establishes the Maryland AI Education Collaborative to study AI use in schools and make recommendations.

This document provides implementation guidance for organisations adopting artificial intelligence, focusing on complex and higher-risk use cases. It outlines six essential practices to strengthen governance, manage risk, ensure supply chain accountability, and maintain human oversight. The guidance is structured for teams building, customizing, or deploying advanced AI systems.

This academic article explores the fundamental tension between the rule of law (which demands that like cases be treated alike) and trial judges' lawful exercise of judicial discretion. The author examines whether advanced artificial intelligence and robot judges could eliminate this tension, ultimately concluding that doing so would result in the loss of crucial human elements such as procedural justice, the evolutionary development of law, equity, and empathy. The paper argues that human judges remain essential for a well-functioning legal system and general social acceptance.

This undergraduate thesis portfolio from the University of Virginia combines a technical capstone project on a waste-sorting robot for an ASME competition with an STS research paper examining ethical decision-making models for autonomous vehicles. The research paper advocates for a law-based ethical framework over a utilitarian one, evaluating it on technical feasibility, ethical fairness, and public transparency. Together, the works explore how engineering solutions intersect with broader societal, ethical, and legal implications.

This guidance outlines cybersecurity risks, challenges, and best practices for securely adopting and operating agentic artificial intelligence systems. Co-authored by cybersecurity agencies from Australia, the United States, Canada, New Zealand, and the United Kingdom, it provides actionable recommendations covering design, development, deployment, and operational security. It stresses the importance of least privilege, strict input management, robust monitoring, and alignment with existing security models.

This guidance from the New Zealand Ministry for Regulation provides practical steps for regulatory leaders and practitioners on adopting and using artificial intelligence responsibly within regulatory systems. It covers foundational requirements such as strategy, governance, procurement, and workforce readiness, as well as operational considerations like human-in-the-loop oversight and ethical boundaries. Real-world case examples from the Department of Conservation and Hutt City Council illustrate how AI can support regulatory tasks while maintaining human accountability.

Taiwan's Artificial Intelligence Basic Act establishes core principles for government AI research, development, and applications, while providing policy incentives to accelerate industrial innovation. The Act outlines seven core principles including human autonomy, privacy protection, fairness, and accountability. It also details implementation measures, industrial promotion pillars, and future implementation directions such as establishing AI risk taxonomies and verification tools.

This undergraduate thesis examines ethical failures in the AI voice replication of James Earl Jones by Disney using care ethics, while also describing a technical project developing a wearable soft robotic rehabilitation device for stroke patients. The author reflects on how analyzing corporate failures in AI deployment informed safer, more user-centric engineering practices. The document combines technical design documentation for an upper-limb exoskeleton with an STS (Science, Technology, and Society) research paper on voice cloning and accountability.

This academic article examines the social and legal impacts of autonomous robots and artificial intelligence from a forecasting and interdisciplinary perspective. It explores how technology and society mutually shape each other, emphasizing the need to protect legal, moral, and political standards. The author discusses issues of justice, moral responsibility, and the potential responsibility gap created by autonomous systems within the context of the emerging Fourth Wave and social singularity.

This document is an artificial intelligence readiness assessment report for Botswana, evaluating the country's preparedness for adopting and governing artificial intelligence technologies. It examines various institutional, policy, and infrastructural dimensions relevant to AI readiness in the nation.

This academic article examines the inadequacies of China's current accident liability framework in addressing accidents involving humanoid robots. It analyzes the challenges posed by human-body simulation, artificial intelligence, and hybrid control, and proposes a reconstructed liability mechanism. The proposed framework includes establishing robust evidentiary processes, applying reasonable person technical standards, designating manufacturers as least cost avoiders, and incorporating behavioral correction and retribution.

This study investigates how visitor psychological boundaries and visit motivations influence service preferences for adaptive service robots in exhibition spaces. The authors identify three core preference dimensions—proactive support, adaptive responsiveness, and autonomy-oriented minimal service—and propose a cost-sensitive decision model to optimize robot intervention strategies. The results demonstrate that service robots can successfully balance helpfulness and non-intrusiveness by tailoring interaction intensity to the visitor's psychological boundary state.

This guidance document explains when and how to disclose the use of artificial intelligence in creating or altering content. It emphasizes transparency to build trust, reduce risks, and meet legal obligations regarding misleading information. The document outlines considerations based on content impact and degree of AI contribution, recommending methods such as labelling, watermarking, and metadata recording.

This document provides guidance and a template for organizations to create a responsible AI use policy, ensuring safe, consistent, and accountable practices across teams. It outlines key considerations such as defining acceptable AI uses, roles and responsibilities, data input rules, and monitoring procedures. The guide helps organizations align their internal AI usage with legal obligations and risk management standards.

This research report examines the current industry status and policy trends of humanoid robots in the United States, analyzing the competitive dynamics between the U.S. and China in AI and physical robotics. It reviews the Trump 2nd administration's policy focus on technological support, deregulation, countering China, and strengthening industrial leadership. Finally, it derives implications and strategic responses for South Korea regarding technology development, industrial ecosystems, and labor structure transitions.

This advisory outlines the cybersecurity risks associated with frontier AI models, which can accelerate both vulnerability discovery and potential cyber attacks. It provides organizations with immediate and long-term mitigation measures to strengthen their cybersecurity posture against AI-driven threats. Key recommendations include patching critical vulnerabilities, implementing multi-factor authentication, securing development environments, and deploying AI-powered vulnerability detection systems.

EmbodiedGovBench is a governance-oriented benchmark for evaluating embodied agent systems across seven operational dimensions, moving beyond simple task success metrics. It tests unauthorized capability invocation, runtime drift robustness, recovery success, policy portability, upgrade safety, human override responsiveness, and audit completeness in both single-robot and fleet settings. The benchmark utilizes scenario templates, perturbation operators, and metric families to determine whether an embodied system remains a controllable, policy-bounded, and accountable runtime substrate.

This perspective article examines the field deployments of a full-size humanoid robot across mental health charity events and educational classrooms in Ireland. The authors argue that introducing life-size humanoids into schools requires a governance-first rather than pedagogy-first deployment strategy to address physical safety, anthropomorphic bias, and regulatory gaps. Key recommendations include age-gating full-size systems for secondary education, establishing kinematic buffer zones, and ensuring strict operator control over autonomous LLM interactions.

This opinion piece argues that AI ethics and robotics must move beyond the humanization narrative, which falsely attributes human moral agency, empathy, and consciousness to artificial systems. Instead, the author advocates for a relational and sociotechnical framework that situates human-AI interaction within specific practices, values, and domain norms. The paper outlines how interdisciplinary collaboration, integrating technical, ethical, domain-specific, and public perspectives, can address the conceptual and methodological challenges of evaluating AI systems.

This document outlines South Africa's Draft National Artificial Intelligence (AI) Policy, published for public comment by the Department of Communications and Digital Technologies. The policy aims to harness AI for inclusive economic growth, job creation, and social upliftment while addressing historical inequalities and digital divides. It establishes six strategic pillars spanning talent development, inclusive growth, responsible governance, ethical AI, cultural preservation, and human-centred deployment.

The European Commission published non-binding guidelines to explain the practical application of the legal definition of an AI system under the EU AI Act. These guidelines aim to help providers and relevant parties determine whether a software system qualifies as AI to facilitate compliance with the new rules. They are designed to evolve over time and be updated based on practical experiences and use cases.

This paper proposes a novel classification framework for robots and AI agents grounded in Cyber-Physical-Social-Thinking (CPST) space theory to address the ontological gaps in current legal and regulatory structures. The authors establish a three-tier taxonomy—Confined Actors, Socially-Aware Interactors, and CPST-Integrated Agents—mapped to proportional governance models ranging from enhanced product liability to qualified legal personhood. Additionally, the paper outlines standardized assessment metrics, institutional designs for multi-layered oversight, and concrete policy implementation steps.

This academic paper conceptualizes an 'algorithmic blind spot' in AI ethics, wherein disproportionate ethical and academic investment in speculative future artificial agents marginalizes empirically documented harms affecting human populations. Through bibliometric analysis and qualitative critique of the robot-rights literature alongside studies of algorithmic bias in employment, criminal justice, and surveillance, the authors argue for a re-centering of AI ethics around human impacts, institutional responsibility, and present-day accountability. Finally, the paper outlines a human-centric framework emphasizing fairness by design, transparency, and meaningful mechanisms for redress.

This article explores the intersection of assistive robotics, imagination, technology, and ethics, particularly in response to an aging global population. It details the technoscientific challenges of developing robotic assistants, co-design methodologies with care institutions, and the necessity of techno-ethics training drawing on science fiction. Authored by Carme Torras, it discusses how robotic helpers can empower vulnerable populations while raising crucial social and ethical questions.

This internal research report examines the necessity of apriori ethical and risk assessment for human-robot interaction applications, specifically focusing on large language models in social robots for children with autism. Evaluating a platform combining social robots with LLMs using EU Guidelines for Trustworthy AI, expert interviews, and literature, the authors identify 68 perceived risks and opportunities and formulate an action plan. The findings highlight essential methodological gaps and a lack of empirical evidence while demonstrating that early integration of ethics improves trustworthiness.

This document outlines Israel's national AI strategy for 2026, aimed at strengthening the global leadership of its high-tech sector through excellence rather than scale. It establishes four strategic pillars focusing on applications, AI-enabling infrastructure, physical AI technological breakthroughs, and participation in international geopolitical alliances like Pax Silica. The plan proposes concrete policy measures including regulatory sandboxes, data access, targeted human capital programs, and compute infrastructure investments.

This strategy report outlines a comprehensive vision and operational roadmap for strengthening Israel's global leadership in artificial intelligence through its high-tech sector. It focuses on four strategic axes: AI-native applications, AI enablers (infrastructure and chips), technological breakthroughs (particularly physical AI), and geopolitical alliances such as Pax Silica. The document provides detailed policy recommendations, milestones, and targets for the next five years to transition Israel into an AI-first industry.

The AI Guidelines for Business (Ver. 1.2, March 2026) issued by Japan's Ministry of Internal Affairs and Communications and Ministry of Economy, Trade and Industry establish unified guiding principles for AI governance. They present non-binding soft-law guidance based on a risk-based approach, setting out basic philosophies, common guiding principles across the AI lifecycle, and tailored obligations for AI developers, providers, and business users. The document incorporates international frameworks such as the Hiroshima AI Process to promote safe, secure, and trustworthy AI utilization.

The AI Guidelines for Business (Ver. 1.2) provide unified guiding principles for AI governance in Japan to promote the safe and secure utilization of artificial intelligence. Issued jointly by the Ministry of Internal Affairs and Communications and the Ministry of Economy, Trade and Industry, the document establishes non-binding soft law guidance across the AI lifecycle for developers, providers, and business users. It integrates foundational human-centric philosophies, risk-based agile governance models, and alignment with international frameworks like the Hiroshima AI Process.

This academic reply paper responds to a commentary on prior research concerning the queering of sex robots through queer Lacanian psychoanalysis and new materialism. The authors address claims regarding the ontological status of the relational sexual self and the ethical sensitivities required for translating 'designing for friction' into practice. They discuss considerations of user consent, trauma-sensitivity, and the transferability of interhuman sexual ethics to human-robot interactions.

This document sets out the Australian Government's expectations for data centres and AI infrastructure developers, serving as the foundation for their social licence to operate. The guidelines outline five key expectations covering national interest and security, the energy transition, sustainable water usage, workforce and skills development, and research and innovation capability. Proposals aligned with these expectations will be prioritized by the government, while energy-intensive proposals not aligned will not be prioritized in Commonwealth regulatory assessments.

The White House released the National AI Legislative Framework in March 2026, outlining legislative recommendations for Congress across seven key areas. The framework addresses protecting children online, supporting infrastructure development while protecting ratepayers, addressing intellectual property rights and digital replicas, preventing government censorship, promoting AI innovation, and preparing the workforce. Additionally, it calls for a uniform national standard that preempts fragmented state-level AI regulations while preserving traditional state police powers.

The White House National Policy Framework for AI sets out legislative recommendations for Congress across seven key areas. It addresses protecting children, strengthening communities and energy infrastructure, respecting intellectual property and creators, preventing censorship and protecting free speech, enabling innovation, developing an AI-ready workforce, and establishing a unified federal policy framework while preempting state-level AI regulations. The document aims to promote American AI dominance while safeguarding rights and economic growth.

This paper reviews published recommendations on informed consent for elective robotic telesurgery and proposes a comprehensive ethical framework. It introduces a structured disclosure approach combining implicit and explicit elements, and suggests a local and virtual interactive multi-stage consent process offered in an opt-out fashion to protect patient autonomy.

This document contains hearing testimony before the U.S. House Committee on Homeland Security regarding national security risks posed by PRC artificial intelligence, robotics, and autonomous technologies. Witnesses discuss how China's state-directed industrial policies, data advantages, and military-civil fusion threaten U.S. technological leadership and critical infrastructure. The testimonies highlight specific vulnerabilities in platforms like Unitree robotics and make recommendations for legislative and executive action.

This document outlines the European Data Protection Supervisor (EDPS) strategic compass for 2026–2027 in its new role as a market surveillance authority and notified body for AI systems used by European Union institutions, bodies, offices, and agencies under the EU AI Act. It details a cooperative, four-pillar approach covering supervision, regulatory coordination, institutional empowerment, and international engagement. The strategy aims to ensure that EUIs deploy trustworthy, human-centric AI solutions while balancing innovation and fundamental rights protection.

This extended abstract outlines an academic workshop exploring the safety, trust, psychosocial, legal, and economic impacts of cyberattacks on social robots. It details a multidisciplinary forum bringing together researchers and practitioners to discuss secure robotics, human-robot interaction, and the HEARS framework. The document serves as conference proceedings for the 21st ACM/IEEE International Conference on Human-Robot Interaction.

This workshop paper explores the social, ethical, and practical implications of deploying robots in clinical and assistive contexts. It discusses how robots can expand access and assist healthcare workers, while also highlighting challenges such as undermining disabled people's agency, disrupting care delivery, and displacing labor. The workshop brings together trans-disciplinary participants to critically examine these downstream effects and potential upstream interventions.

This paper presents a conceptual framework for examining the ethics of compassionate robots in elementary education. It identifies four key ethical dimensions, namely Connection, Power, Access, and Information, that shape how compassionate behaviors expressed or elicited by robots influence children's perceptions of care, agency, and moral responsibility. Ultimately, the framework offers a structured approach for evaluating the responsible integration of compassionate robots in educational settings.

This paper develops a Levinasian framework to address ethical challenges and responsibility attribution in human-robot interaction (HRI). Drawing on Emmanuel Levinas, Jacques Derrida, and object-oriented ontology, the author argues that infinite, asymmetrical responsibility to the Other offers a more productive lens than ethical pluralism for diagnosing vulnerabilities in socio-technical networks. The framework is grounded in concrete domains including healthcare robotics, autonomous vehicles, and algorithmic governance.

This guide by the Ministry of Law of Singapore sets out general principles and good practices to encourage responsible, ethical, and effective use of generative artificial intelligence in the legal services sector. It covers key topics such as professional ethics, confidentiality, and transparency, alongside a practical five-step implementation framework for law firms and in-house counsel teams. The guide builds upon national AI frameworks and court guidance to help legal professionals harness GenAI capabilities while maintaining strict compliance and accountability.

This research paper evaluates an application-oriented semantic clause retrieval pipeline that uses transformer encoders and lexical baselines to search legal and compliance documents. The study benchmarks performance using trademark law data and a scoped agri-robotics compliance corpus to assess cross-domain transfer. Findings indicate that domain-adapted transformer encoders improve early ranking of relevant statutory clauses, while lexical baselines remain competitive.

This opinion piece argues that treating robotics and AI as a single moral category leads to avoidable category mistakes regarding moral agency, harm, and responsibility. It distinguishes between disembodied computational AI techniques and embodied robotic artifacts operating in the physical world. The author proposes a lightweight reporting framework for interdisciplinary research to explicitly specify system boundaries, embodiment levels, ethical targets, and consciousness claims.