Records

This paper presents a systematic review of literature spanning agentic UAV autonomy, Zero Trust Architecture, UAV cybersecurity, LLM-agent security, and public-safety robot governance. It synthesizes these findings into the Zero Trust Agentic Drone Public-Safety (ZTADP) Framework: a six-layer model applying continuous verification to every actor, data stream, tool call, and AI-mediated recommendation in a UAV mission. The study contributes a mission-pipeline threat model, design principles for least-privilege autonomy, and a validation roadmap for trustworthy public-safety aerial robotics.

This academic chapter examines the ethical considerations and challenges associated with integrating artificial intelligence and robotic tools into modern surgical practice. It addresses key concerns such as patient autonomy, informed consent, accountability for machine-generated errors, data privacy, and algorithmic bias. The text emphasizes the importance of maintaining human oversight, transparency, and multidisciplinary collaboration to ensure responsible surgical innovation.

This paper argues that ethical, user-adapted explainability must be treated as a core design objective for foundation-model-driven social robotics. The authors identify open challenges regarding pre-training biases, generic explanations, and opacity in adaptive systems, alongside ethical risks such as misalignment, epistemic exclusion, and institutional externalisation of responsibility. To address these issues, the paper proposes four concrete recommendations: designing modality- and user-aware explanation strategies, employing co-design, integrating layered adaptation, and prioritizing smaller, fairer datasets.

This document outlines the National Artificial Intelligence Strategy for Mauritius (AIM), titled 'AI for Mauritius - A National Vision for Responsible AI and Regional Leadership'. It establishes a strategic framework built upon six core dimensions including digital infrastructure maturity, innovation culture, AI for all and inclusion, governance frameworks, private and public sector adoption, and international collaboration. The strategy seeks to position Mauritius as a trusted regional leader in ethical, human-centric, and inclusive AI by 2029 and beyond.

This bill proposed in the Brazilian National Congress regulates the manufacturing, commercialization, possession, use, and updating of humanoid robots in the national territory. It establishes mandatory safety requirements, algorithmic transparency, traceability via unique serial numbers, strict civil and penal liabilities, and compulsory technical and ethical training for buyers. Furthermore, it introduces amendments to the Brazilian Penal Code and the Consumer Defense Code to penalize non-compliance and reinforce supplier obligations.

This report examines how enterprises in Kuwait's private sector are adopting artificial intelligence, where adoption is concentrated along the firm value chain, and how productivity effects are measured. Based on enterprise interviews and validation dialogues with the Kuwait Chamber of Commerce and Industry, the findings reveal a two-speed trajectory between large firms and SMEs, highlighting critical needs in data maturity, workforce skills, and governance frameworks.

This academic book chapter examines the ethical landscape of integrating artificial intelligence and robotic tools into modern surgical practice. It discusses key concerns such as patient autonomy, informed consent, accountability for surgical errors, privacy, algorithmic bias, and the potential depersonalization of the surgeon-patient relationship. The text emphasizes the need for human oversight, transparent governance, and equitable distribution of advanced technologies.

The Ten AI Initiatives Promotion Plan (2025-2028) is a national strategy approved by the Executive Yuan on January 28, 2026, aimed at comprehensively upgrading individuals, industries, and the nation in Taiwan. Formulated to address challenges like labor shortages and a declining birth rate, the plan outlines ten specific initiatives categorized under smart applications, critical technologies, and digital foundations. Key components include driving smart applications across industries and public life, developing advanced silicon photonics and quantum technologies, building AI robotics supply chains, enhancing sovereign computing power, and cultivating an inclusive AI talent ecosystem.

This guidance outlines the requirements for transparency, data privacy, and ethics in artificial intelligence development and use under Peru's AI Law Regulations. High-risk AI systems must inform users of their purpose, functionality, and decision-making capabilities, and data privacy must comply with existing data protection laws. Additionally, developers and implementers are instructed to act with probity, respect human rights, and mitigate algorithmic bias.

This document is the Enforcement Decree for the Framework Act on Artificial Intelligence Development and Trust Foundation Creation in South Korea. It outlines details regarding the implementation of the Act, with enforcement scheduled for January 22, 2026. The decree was enacted by Presidential Decree No. 36053 on January 21, 2026.

The Artificial Intelligence Basic Act establishes a national legislative framework to promote human-centric artificial intelligence research, development, and industrial advancement in Taiwan while ensuring safety, fundamental rights, and ethical compliance. It sets forth core governance principles covering sustainability, human autonomy, privacy, cybersecurity, transparency, fairness, and accountability. Furthermore, it mandates the creation of a National AI Strategic Committee, outlines risk-based management for high-risk AI applications, and directs government agencies to update relevant laws and regulations within two years.

This paper explores the development pathway of the general education course “The Robot World” at Inner Mongolia University, aiming to cultivate ethical values, technical literacy, and interdisciplinary competence within technical education. Taking "from technical cognition to value shaping" as its central theme, the curriculum integrates robotics, ethics, law, and social impact through blended online-offline teaching and project-based methods. It provides a practical framework for incorporating technological ethics, professional ideals, and interdisciplinary liberal arts into higher education.

This document introduces the AI Incident Response System (AI-IRS) as a conceptual framework for managing dynamic and autonomous risks in AI systems. It establishes observability and controllability as core evaluation criteria to improve detective controls, minimize operational damage, and ensure business continuity during AI incidents. The framework also discusses supporting elements like SBOM for AI and the NIST Cyber AI Profile, addressing challenges across the AI supply chain.

This academic study presents a systematic approach to identifying, categorizing, and analyzing ethical and safety challenges in collaborative robotics within manufacturing. Utilizing a mixed-methods framework analyzing 3,390 publications, the study introduces a hierarchical thematic coding framework encompassing safety, ethical, and implementation challenges. The findings highlight high prevalences of ethical and safety considerations, such as job displacement and psychological safety, while pointing out research gaps like sensor reliability.

This academic paper explores cognitive developmental robotics by examining physical embodiment, social interaction, and robot pain as a medium for ethical engagement. It uses preliminary experiments on tactile sensors and fear-learning models to expand social interaction into broader societal dynamics. To address the resulting governance challenges, the paper proposes applying agile governance through a participatory framework illustrated via a thought experiment on care robots.

Portugal's National Artificial Intelligence Agenda (ANIA), approved by Council of Ministers Resolution No. 2/2026, serves as the country's primary policy instrument for artificial intelligence. It focuses on economic competitiveness, public value, and responsible innovation through four strategic pillars: infrastructure and data, innovation and adoption, talent and skills, and responsibility and ethics. Operationalized via 32 targeted initiatives, the agenda aims to position Portugal among Europe's leading countries in trustworthy AI.

This report examines the state of readiness of health systems across the European Union regarding the integration and adoption of artificial intelligence. It analyses institutional capacities, policy landscapes, and strategic challenges in implementing AI technologies within healthcare. The document provides insights to support policymakers and health authorities in navigating the digital transformation of medical services.

This funding program challenge aims to accelerate the development, deployment, and commercialisation of breakthrough Physical AI and embodied intelligence solutions in Europe. It seeks disruptive innovations featuring capabilities like intelligent perception, adaptive learning, autonomous decision-making, human-AI collaboration, and physical integration applied to disaster response, autonomous labs, or robot assistants. Projects must align with principles of Responsible AI, trustworthiness, and security while supporting the EU AI Act and Apply AI Strategy.

Canada's National Artificial Intelligence Strategy: AI for All outlines a comprehensive framework to foster trust, create opportunity, and build sovereignty in the AI era. The strategy is built around six core pillars: protecting Canadians and safeguarding democracy, empowering Canadians with literacy and skills, powering shared prosperity through widespread SME adoption, building a sovereign AI foundation, scaling Canadian champions, and forging trusted international partnerships.

This final report of the Caribbean AI Task Force outlines a comprehensive strategy for harmonizing artificial intelligence policies across CARICOM member states. It analyzes the regional AI market, connectivity gaps, labour-market exposure, and research deficits, concluding with seven strategic pillars covering data infrastructure, governance, economic transformation, talent development, public sector AI, climate resilience, and regional leadership. The report emphasizes building shared regional capacity, leveraging the UNESCO Recommendation on the Ethics of AI, and addressing the unique vulnerabilities of Small Island Developing States.

This voluntary Code of Practice assists providers and deployers of generative AI systems in complying with transparency obligations under Article 50 of the EU AI Act. It establishes rules for machine-readable marking and detection of AI-generated content by providers, as well as labelling of deepfakes and public-interest text publications by deployers. Adhering to the code provides signatories with a recognized practical framework to demonstrate compliance and legal certainty across EU Member States.

This journal article provides a comparative assessment of Indian regulatory requirements for surgical robots against established frameworks in the United States, European Union, and Japan. It evaluates parameters such as risk classification, pre-market approval pathways, clinical evidence requirements, quality management systems, software and AI governance, and post-market surveillance mechanisms. The study notes that while India classifies surgical robots as high-risk devices and aligns with IMDRF principles, significant gaps remain compared to global benchmarks.

This handbook provides a practical, business-focused overview of the UAE Personal Data Protection Law (PDPL) and its Executive Regulations, helping organizations build effective data privacy programs. It also incorporates responsible AI considerations aligned with the UAE National AI Strategy and the National Artificial Intelligence Security Policy. The guide outlines key compliance steps such as appointing a Data Protection Officer, maintaining data registers, managing data subject rights, ensuring security, and implementing AI privacy governance.

This discussion paper explores the opportunities and challenges that the European Union's Artificial Intelligence Act poses for the development and use of AI-driven occupational safety and health systems. It examines specific provisions of the AI Act, including prohibited workplace emotion recognition practices, the medical or safety reasons exception, and high-risk classifications, while highlighting the interplay between the AI Act, EU OSH legislation, and the GDPR.

The National Artificial Intelligence Strategy 2026-2030 (ENIA) of Peru outlines the strategic actions adopted by the country to achieve its national objectives through the practical, ethical, inclusive, and secure application of AI across the public and private sectors. It establishes a multi-stakeholder governance framework centered around four key strategic ejes: talent and capacity development, innovation and entrepreneurship, an ethical and regulatory framework, and citizen participation. The strategy aims to transition the state from a purely digital government model to an intelligent government while addressing institutional, infrastructural, and skill gaps.

The National AI Action Plan 2026-2030 (AI Nation 2030) outlines Malaysia's strategic roadmap to become a regional AI hub and an inclusive, sustainable AI nation by 2030. It establishes a multi-layered framework encompassing 14 sector-specific Impact Engines, foundational enablers across talent, infrastructure, research, and responsible governance, and a whole-of-nation execution model. The plan aims to position Malaysia among the top 10 globally in AI indices, drive incremental GDP growth, and generate thousands of AI-attributable jobs.

The National Artificial Intelligence Strategy of Panama (AI 2036) outlines a comprehensive, action-oriented blueprint to transform Panama into Latin America's trusted hub for AI innovation and competitiveness. Organized around six operational pillars spanning infrastructure, human capital, data safety, governance, investment, and sectoral applications, the strategy aims to drive economic growth and productivity while maintaining strong ethical safeguards. Developed in partnership with Georgia Tech and commissioned by SENACYT, it covers the 2026-2036 period with triennial reviews.

This research study explores the ethical, technical, and operational dimensions of integrating artificial intelligence into surgical robotics. It examines hybrid AI techniques such as explainable AI, federated learning with blockchain, and swarm intelligence to address challenges in patient safety, data privacy, and surgical accuracy. The proposed methods demonstrate high performance metrics in accuracy, anomaly detection, and ethical compliance.

This perspective chapter examines the integration of artificial intelligence into robotic surgical education, highlighting both its potential to enhance training through 3D virtual reality simulations and personalized feedback, and the ethical, legal, and equity challenges it presents. It contrasts high-resource and low-resource settings, discussing how AI tools like the Competency-Based Assessment of Robotic Surgery (CARS) scale can help standardize training and democratize access. Finally, the chapter outlines short- and long-term policy recommendations, including institutional validation of simulators, faculty training, and the establishment of a global open-access repository and an international surgical AI committee.

This bill proposes a minimum standards framework for the promotion, development, and implementation of artificial intelligence systems in Argentina, emphasizing respect for human rights, privacy, and democratic values. It establishes definitions for AI, outlines core ethical principles, sets out restrictions on prohibited AI practices such as biometric categorization for sensitive traits, and creates a national council for AI promotion and development under the Cabinet of Ministers.

This WHO report details the outcomes and findings from the Knowledge Community on responsible artificial intelligence in health. It outlines considerations for implementing safe and ethical AI systems within healthcare settings. The text addresses principles for responsible integration and governance of digital tools in public health.

This research paper explores the moral, ethical, legal, and stakeholder implications of granting rights and responsibilities to service robots within the hospitality and tourism industries. It examines the theoretical and practical consequences of anthropomorphic robot adoption, addressing themes such as liability, data privacy, stakeholder impacts, and ethical design. Furthermore, the paper proposes a conceptual framework to guide future research and industry practices regarding human-robot coexistence.

This document specifies safety requirements for service robots used in personal and professional or commercial applications. It considers conditions for physical human-robot contact and includes additional information on functional safety. The standard explicitly excludes robots used in industrial and medical applications.

ISO/WD 26058-1 is a working draft standard outlining safety requirements for industrial mobile robots traveling on the ground within restricted industrial environments. It specifies the scope of covered machines while explicitly excluding industrial trucks, driver-controlled machines, exoskeletons, road vehicles, and robots used in non-industrial or hazardous environments. The document serves as the first part of a series addressing safety requirements for mobile robots.

Canada's national artificial intelligence strategy, titled 'AI for All', outlines a comprehensive roadmap to build a trusted, prosperous, and sovereign AI ecosystem. It focuses on six core pillars: protecting citizens and democracy, empowering Canadians through literacy and skills, driving AI adoption across the economy—especially for small and medium-sized enterprises—building sovereign AI foundations such as computing power and data spaces, scaling Canadian AI champions, and establishing reliable international alliances.

Sweden's AI Strategy outlines the government's long-term framework to position Sweden as a leading global AI nation among the top ten worldwide. It focuses on driving societal benefit, sustainable development, and economic competitiveness through responsible AI adoption, regulatory simplification, enhanced data sharing, and robust digital infrastructure. The strategy emphasizes human-centric values, security and defense integration, upskilling the labor market, and establishing a secure public sector AI workshop.

This research paper analyzes the future trajectories of robotics in an integrated AI landscape, focusing on collaborative robots, soft robotics, and swarm intelligence. It identifies key technical hurdles, ethical dilemmas, and socio-economic impacts accompanying the shift toward autonomous systems. To address these challenges, the paper proposes the Ethical Deployment of Autonomous Systems (EDAS) Framework to guide responsible integration through transparency, accountability, and human oversight.

This academic article examines how artificial intelligence, robotics, and posthuman entities are framed as monstrous within legal discourse and popular culture. Drawing on monster theory and posthumanist philosophy, the author argues that monstrosity functions as a regulatory and exclusionary strategy used by humanist legal systems to police the boundaries of rights and agency. Ultimately, the text proposes a relational and inclusive approach to legal subjectivity that embraces vulnerability and distributed agency rather than exclusion.

The Netherlands' International AI Strategy sets out a government-wide framework and action lines to address three core challenges: boosting competitiveness and earning potential, strengthening strategic AI sovereignty and dependencies in the value chain, and ensuring the responsible and safe use of AI in line with human rights and democratic values. It outlines targeted international actions spanning bilateral diplomacy, European cooperation, standardisation, trade, and security to position the Netherlands and Europe effectively within a shifting global order.

The Zimbabwe National Artificial Intelligence Strategy (2026–2030) provides a coordinated framework to harness AI for inclusive economic growth, innovation, and national sovereignty in alignment with Vision 2030 and Heritage-Based Education 5.0. It is anchored on six strategic pillars covering talent development, infrastructure and computational sovereignty, adoption and service transformation, governance and ethics, research and development, and international collaboration. The strategy also outlines five flagship initiatives, including an AI grand challenge, national data platform, public awareness campaign, regulatory sandbox, and innovation fund.

The Zimbabwe National Artificial Intelligence (AI) Strategy (2026–2030) provides a framework to harness AI as a driver of inclusive growth, innovation, and national sovereignty. Anchored on the Heritage-Based Education 5.0 philosophy and Ubuntu-based ethics, it focuses on talent development, high-performance computing infrastructure, sector-specific AI adoption, and a robust governance framework. The strategy aims to position Zimbabwe as a regional hub for ethical AI for development through multi-stakeholder collaboration and flagship initiatives.

This document outlines Saudi Arabia's updated National Strategy for Data and AI, led by SDAIA, aiming to position the Kingdom among top smart nations by 2030 through comprehensive frameworks covering secure infrastructure, national data management, digital platforms, and AI products. It sets out five core pillars and seventeen strategic objectives, along with performance targets extending to 2034 such as training 55,000 specialists, opening 40,000 datasets, and achieving 100% digital government service coverage on the national app. The strategy transitions the Kingdom from adoption and capacity-building to global competitiveness and leadership.

This guide from Bahrain's Information & eGovernment Authority provides a comprehensive directory of artificial intelligence tools categorized by use cases, such as text generation, video production, software engineering, design, accounting, project management, research, data analysis, sales, and human resources. It outlines principles for the responsible, secure, and sustainable adoption of AI technologies within government and private entities. The document emphasizes data privacy, verification of AI outputs, transparency, human oversight, and continuous capacity building.

The Kenya National AI Strategy 2025-2030 Implementation Roadmap outlines the strategic actions required to position Kenya as a leading digital and AI hub in Africa. It details five core pillars: advanced digital infrastructure, secure and accountable datasets and large language models, priority vertical industry applications, sustainable ecosystem development, and agile governance. The roadmap integrates national digital transformation plans with global best practices to drive inclusive economic growth and digital sovereignty.

This academic paper examines civil liability for robot and artificial intelligence errors under Algerian civil law, analyzing the inadequacy of traditional legal frameworks such as master-servant relationships and property custody. It explores modern alternatives, including the European 'Responsible Human Agent' theory, and discusses compensation rules and the validity of liability exemption clauses. Ultimately, the study advocates for a dedicated legal framework and specialized judicial mechanisms to address robot-induced damages.

This article examines the policy and economic opportunities surrounding collaborative robots, or cobots, as workforce partners in manufacturing. It argues that well-designed human-robot collaboration can complement manual labor, improve workplace ergonomics, and enhance productivity while preventing the displacement risks associated with traditional automation. The authors propose five key policy priorities, including strategic investments in human capital, support for human-centered robotics research, place-based investment strategies, protections for worker input, safety, and privacy, and tax policy reforms.

This academic paper proposes a scalable and ethical framework for AI-augmented robotic process automation (RPA), combining machine learning, process mining, and built-in ethical governance. The model is evaluated across multiple industries through surveys and simulations to demonstrate improvements in operational efficiency, error reduction, scalability, and workforce acceptance. It offers practical guidance for organizations seeking to implement responsible, transparent intelligent automation.

The Artificial Intelligence Basic Plan establishes Japan's national strategy to become the most AI-friendly country in the world by promoting AI innovation while mitigating risks. It outlines four basic policies: accelerating AI deployment across society, strengthening domestic AI development capabilities and infrastructure, leading international AI governance, and achieving sustainable transformation toward an AI-collaborative society. The plan is issued pursuant to the Act on Promotion of Research and Development and Deployment of Artificial Intelligence-related Technology.

This document sets forth guidelines based on Article 13 of the Act on Promoting the Research, Development, and Utilization of Artificial Intelligence-Related Technologies to encourage voluntary and proactive efforts by all entities regarding the proper implementation of AI R&D and utilization. It outlines basic principles such as a risk-based approach, stakeholder engagement, comprehensive AI governance, and agile responses, alongside specific expectations for research institutions, deploying businesses, national and local governments, and citizens. The guidelines emphasize human-centric values, transparency, safety, security, and international coordination following frameworks like the Hiroshima AI Process.

The UK AI Security Institute (AISI) Frontier AI Trends Report (2025) presents public analysis of the trends observed during evaluations of frontier AI systems conducted since November 2023 across domains critical to national security and public safety. The report aims to provide accessible, data-driven insights into the frontier of AI capabilities and promote a shared understanding among governments, industry, and the public.