Records

This document outlines the Personal Data Protection Commission's response to public feedback on its proposed advisory guidelines regarding the use of personal data in generative AI. It addresses key issues raised during the consultation period, such as the application of the publicly available exception, consent and notification obligations, data protection responsibilities across stakeholders, and access and correction obligations. The report explains refinements made to the guidelines to balance compliance burdens with privacy protections.

This proposal outlines a qualitative exploratory clinical intervention case study examining how workers, clinicians, organizational leaders, and technology professionals perceive trust, safety, autonomy, and ethical readiness when interacting with bipedal humanoid robots. The study proposes phased reflective sessions and controlled robot copresence to investigate human-robot collaboration across safety-sensitive and space environments. Findings aim to inform ethical safeguards and human-centered deployment practices for robots operating in extreme and public-facing settings.

This position paper by the Center for AI and Digital Policy (CAIDP) calls on the State of Peru to request observer status on the Council of Europe Steering Committee for New and Emerging Digital Technologies (CDNET) and to sign and ratify the Council of Europe Framework Convention on Artificial Intelligence. It reviews Peru's existing national AI and digital governance initiatives—such as Law No. 31814 and the National Artificial Intelligence Strategy—and argues that joining the Treaty would embed human rights, accountability, and safety within a binding international framework. The document highlights the Treaty's core principles and foundational safeguards, noting that doing so will strengthen Peru's governance coherence and align its national policy with global standards.

The Chair's Statement of the 2026 World Artificial Intelligence Conference & High-Level Meeting on Global AI Governance outlines global principles, priorities, and 15 key points for international cooperation on AI development and security. It highlights the importance of balancing innovation and risk, bridging the AI divide to support Global South countries, advancing open-source ecosystems, ensuring data security, and reinforcing the central role of the United Nations in global AI governance. Additionally, the statement announces the signing of the agreement establishing the World Artificial Intelligence Cooperation Organization (WAICO) headquartered in Shanghai.

This document is an introductory guide developed within the framework of the Spanish AI regulatory sandbox pilot to help organizations understand the European Regulation on Artificial Intelligence (AI Act). It outlines market surveillance governance, classification of AI risk levels, operator roles and definitions, and the main obligations associated with high-risk AI systems and transparency. Additionally, it provides guidance on conformity assessments and details implementation timelines for different system types.

This document is a keynote address by Chinese President Xi Jinping at the 2026 World AI Conference and High-Level Meeting on Global AI Governance. It outlines four major observations on global AI governance: boosting innovation-driven development, ensuring security and control, promoting civilizational inclusiveness, and improving global governance through multilateralism. Additionally, it announces Chinese initiatives such as training opportunities for developing countries, cooperation centers with regional organizations, and deployment of the MAZU meteorological warning system.

This research study examines how service context, governance form, and social presence jointly shape consumers' ethical evaluations and intentions to use social service robots. Across three studies, the authors show that restaurant deployment generally increases perceived ethicality relative to home deployment, and that human-in-the-loop oversight is preferred in homes whereas full autonomy is viewed more favorably in restaurants under high social presence. The findings support a contextual autonomy principle, positioning perceived ethicality as a legitimacy judgment linking context and governance to adoption.

This research paper introduces Acc-CBF-QP, an acceleration-based Quadratic Program safety filter utilizing Control Barrier Functions to constrain reinforcement learning policies onto a safe set at runtime without requiring policy retraining. The method enforces joint position, velocity, torque, and collision constraints within a unified optimization framework and incorporates disturbance observers to mitigate modeling errors. Experiments on a 7-DoF Kinova Gen3 manipulator and a 19-DoF Unitree H1 humanoid demonstrate substantial reductions in constraint violations and hardware-damaging failures while preserving nominal task performance.

This call for evidence seeks practical examples and insights on how personal and non-personal data regulation interacts with AI and other data-intensive technologies in the UK. It explores how legal, technical, and governance arrangements enable data use while managing potential harms, and whether further guidance or reform is needed. Responses will help the government assess the effectiveness and adaptability of the UK's data frameworks.

Japan’s Second Artificial Intelligence Basic Plan establishes a comprehensive national strategy to advance AI transformation, focusing on accelerating AI deployment, strengthening development capabilities, leading responsible agile governance, and building an AI-powered society. The plan prioritizes vertical AI, physical AI, and agentic AI to address domestic challenges like population decline while ensuring trustworthy AI and maintaining national economic and security strengths.

This document is a delegate logistics note for the 1st Caribbean Artificial Intelligence Forum (CAIF) held on July 23rd to 24th, 2026, at the University of the West Indies in Trinidad and Tobago. It provides practical information for attendees regarding registration, venue details, accommodation, local transport, immigration and visa requirements, and event contacts. Additionally, it outlines the provisional agenda highlighting panel discussions on regional AI policy, ethics, data sovereignty, and youth engagement.

These guidelines provide detailed direction on the application of the GDPR to web scraping activities conducted by private entities for the purpose of training generative AI models. They examine key compliance challenges, including defining controller and processor roles, satisfying data protection principles like transparency, data minimisation, and accuracy, establishing lawful bases such as legitimate interest, and handling special categories of personal data. The document outlines technical and organisational measures that controllers should implement before, during, and after collection to mitigate risks to data subjects' rights and freedoms.

These guidelines by the European Data Protection Board clarify the legal and technical implications of web scraping for the training and development of generative AI models under the GDPR. They address roles such as controllers and processors, and provide guidance on complying with core GDPR principles including lawfulness, purpose limitation, transparency, data minimisation, and accuracy. Additionally, the document examines legitimate interest as a legal basis and discusses requirements for handling special categories of personal data.

This academic chapter reviews literature from 2020 to 2025 on translating high-level AI governance principles into concrete design-phase and deployment-phase controls for AI-enabled defense robotics. It proposes a governance-to-engineering checklist mapping security governance themes to controls, required artifacts, gate authorities, and Department of Defense Risk Management Framework steps. The study aims to provide decision-makers with auditable evidence for go/no-go milestones in defense acquisition.

This academic article presents a lifecycle-based and context-sensitive framework for responsible personalisation in human-robot interaction (HRI). It evaluates key ethical risks such as autonomy erosion, biased user modeling, manipulation, dehumanisation, and privacy violations across short- and long-term, open- and closed-domain contexts. Finally, it translates these insights into actionable design recommendations and open research questions for researchers and practitioners.

This paper examines the ethical implications of embodied robotic neurotechnologies, such as medical exoskeletons and neuroprostheses, which use artificial intelligence to assist human movement and intention. It argues that system designs must prioritize the user's subjective sense of agency over mere functional optimization, using the cross-cultural value of harmony to balance human and machine co-agency. The authors propose a cosmopolitan neuroethical framework addressing intentions, balance, synchrony, and contextual sensitivity to ensure users maintain control and responsibility.

This study investigates how artificial intelligence and robotic process automation systems are changing clinical decision-making, improving accuracy, and increasing operational productivity in healthcare. It proposes a conceptual framework to delineate responsible integration, emphasizing human-centered design, ethical governance, and ongoing reflection. The chapter is published by Springer in Lecture Notes in Electrical Engineering.

This document sets out the trademark and brand guidelines for "Government AI GENAI," a generative AI usage environment operated by Japan's Digital Agency. It establishes rules on how the name, official logo, and other brand elements can be used across different user categories (such as government ministries, local governments, corporate businesses, and individuals) and usage types (internal use, product provision, and managed services). The guidelines separate copyright terms from trademark permissions to ensure that while code and documents can be freely used under their respective licenses, the brand identity remains protected against misrepresentation or false endorsement.

This report by the CTU Caribbean AI Task Force establishes a foundational advisory framework and strategic recommendations for harmonizing AI policies across the Caribbean. It addresses the region's structural disparities, digital connectivity paradox, data governance gaps, and labor-market exposure while outlining seven key policy pillars. Ultimately, the report provides CARICOM member states with a roadmap to transition from passive consumers to active rule-makers in global artificial intelligence governance.

The Draft Kenya AI and Other Emerging Technologies Policy establishes a unified national framework to govern the development, deployment, and use of artificial intelligence and emerging technologies across Kenya. Aligned with Vision 2030 and national development priorities, the policy addresses critical challenges such as fragmented governance, data ecosystem gaps, and infrastructure constraints. It outlines strategic pillars encompassing research and innovation, sectoral applications, capacity building, environmental sustainability, and strategic autonomy.

This document outlines Kenya's official Artificial Intelligence and Other Emerging Technologies Policy for July 2026, establishing a national framework to govern innovation, deployment, and digital transformation across all sectors. It addresses critical gaps such as limited compute infrastructure, data fragmentation, skills gaps, and cybersecurity risks while balancing innovation with human rights and data sovereignty. The policy establishes key structures including a National AI Council and an AI Safety Institute to oversee ethical, safe, and sustainable technology adoption.

This Wyoming legislation establishes criminal offenses and penalties related to the malicious or unlawful use of artificial intelligence, including nonconsensual synthetic sexual material, child pornography, and systems intended to promote self-harm. It specifies that using AI to commit a crime is not a defense while providing certain liability limitations and immunities for AI system developers and interactive computer services. Additionally, the act introduces a formal statutory definition for artificial intelligence systems.

This research paper introduces a verification-gated agentic mission-state governance framework for intelligent industrial multi-robot systems. The framework maintains an evolving task forest and a governed blackboard as synchronized state objects to separate autonomous proposal generation from verified execution commitments. It uses a derived execution coupling topology to evaluate cross-branch dependencies and enforce bounded repairs during disturbances. Evaluation across factory scenarios and stress benchmarks shows improved safe completion and reduced invalid commitments or lock conflicts compared to unchecked baselines.

This academic paper develops the Socio-Technical Physical AI Data Governance Framework, re-framing manual workers in labour-intensive manufacturing as intentional data generators rather than passive subjects of surveillance. It integrates productivity metrics, ergonomic risk assessment (such as RULA and REBA), and psychological-state monitoring within a single decision engine combining Fuzzy BWM, Bayesian networks, and Fuzzy FMEA. The review-based framework aims to protect worker welfare while sustaining high-quality dataset production for physical AI applications across diverse enterprise scales.

This memorandum from the Bangko Sentral ng Pilipinas provides supervised financial institutions with recommendations for managing emerging cybersecurity risks arising from frontier artificial intelligence systems. It urges institutions to enhance attack surface visibility, strengthen foundational and proactive security controls, reinforce authentication measures, leverage AI-enabled defensive capabilities, and reinforce readiness and response frameworks. Additionally, it recommends that institutions formally develop their own proportionate AI Governance Framework.

This academic book chapter examines the philosophical question of whether robots and AI systems can possess moral standing and rights, building upon the work of Anand Vaidya. The author utilizes examples from science fiction and Buddhist philosophy to explore whether sentience is a necessary condition for moral standing. Ultimately, the paper raises questions regarding personhood, rights for non-human entities, and the intersections of philosophy and science fiction.

This research paper investigates how interface-level transparency—specifically varying feedback modality (visual vs. auditory) and information richness (sparse vs. rich)—shapes user interaction, coordination, and trust in a vision-based shared autonomy system. Through a user study with 25 participants across two assistive manipulation tasks of differing complexity, the authors evaluate how providing feedback influences intent alignment and corrective interventions. The findings indicate that providing feedback significantly improves goal legibility and reduces corrective inputs, while trust depends on task-appropriate information exposure rather than maximal belief disclosure.

This study proposes and evaluates a compositional trust modeling approach based on quantum natural language processing (QNLP) for embodied intelligence. By comparing classical NLP clustering and QNLP-based clustering on human survey responses, the research demonstrates that quantum-inspired embeddings capture richer latent semantic structures, improved semantic coherence, contextual sensitivity, and robustness. The framework identifies eight trust dimensions, including two emergent dimensions: calibrated trust and predictive reliability.

This academic paper proposes a conceptual and prospective framework for establishing a robot-first Mars settlement prior to human arrival. It examines the use of a large-scale swarm of approximately 10,000 autonomous AI-driven robots to test energy systems, habitat resilience, and environmental risks, thereby reducing early-stage settlement uncertainties. The study outlines ethical, governance, and policy considerations, arguing that human arrival should be conditional on demonstrated system reliability.

This research paper proposes a runtime governance framework for policy-constrained execution in embodied agent systems, separating agent cognition from execution oversight. It formalizes a control boundary among a persistent embodied agent, modular capability packages, and a runtime governance layer that handles capability admission, policy checking, execution monitoring, rollback, and human override. Evaluated across 1,000 randomized simulation trials, the framework effectively intercepts unauthorized actions and detects runtime violations while providing structured recovery.

The European Commission's ethical guidelines provide practical support for primary and secondary school teachers and educational staff regarding the use of AI and data in teaching and learning. The updated guidelines help educators build confidence in making ethical decisions, enhance their skills while managing risks, and increase awareness of data and AI ethics in classroom settings. They include guiding questions, scenarios, core principles, legal context concerning the AI Act and GDPR, and an updated glossary.

IEEE 2863-2026 is an approved draft recommended practice that provides organizational governance activities for entities developing or using artificial intelligence. It establishes governance principles for governing bodies to prioritize and outlines processes to implement those principles responsibly and ethically. Additionally, the standard includes case studies illustrating how to apply these processes and resolve tensions between different principles.

This research paper presents a mathematical model for calculating the cost of accomplishing tasks using electronic governance (eGov) and robotic process automation (RPA) within a distributed management system. The authors extend existing organizational economic models to account for both human and bot employees across different organizational hierarchy levels and skill sets. The model aims to provide a formal cost-analysis approach to help organizations evaluate the efficiency gains and expenses of implementing these technologies.

This executive order aims to promote advanced artificial intelligence innovation and security in the United States while avoiding overly burdensome regulations. It mandates upgrades to the cyber defense of national security, Department of War, and civilian federal information systems, and establishes an AI cybersecurity clearinghouse. Additionally, it sets up a classified benchmarking process for covered frontier models and prioritizes criminal enforcement against those who use AI to unlawfully access computer systems.

This document is a tutorial outline presented at the 2026 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), focusing on blockchain infrastructure for intelligent cyber-physical-social systems. It examines the integration of post-quantum security, cross-ledger interoperability, and trustworthy data economies to support embodied artificial intelligence. The session combines a live AWS Braket quantum demonstration with five technical modules covering embodied AI world models, quantum threat assessment, scalable architectures, metadata standards, and industry ecosystem deployment.

This European Parliamentary Research Service briefing outlines the legislative progress and debate surrounding the Digital Omnibus on AI proposed by the European Commission in November 2025. The proposal introduces amendments to the Artificial Intelligence Act and Regulation (EU) 2018/1139 to simplify implementation, adjust timelines for high-risk requirements, expand provisions for SMEs and mid-caps, and clarify the interplay with other EU laws. Following trilogue negotiations, co-legislators reached an agreement in May 2026, which was subsequently approved by the European Parliament in June 2026.

This proposed legislation establishes a comprehensive national framework for the development and regulation of artificial intelligence in the Philippines. It creates the Artificial Intelligence Development Authority (AIDA) to oversee AI governance, enforce ethical standards, and promote research, innovation, and workforce training. The bill aims to balance technological innovation with the protection of human rights, data privacy, and national security.

This academic legal study analyzes trading robot sales as a form of investment fraud under Indonesian positive law, focusing on Supreme Court Decision Number 5522 K/Pid.Sus/2024. The manuscript examines how algorithm-based automated trading systems can be misused for structured financial crimes, including information manipulation, illegal public fund collection, and money laundering. It highlights regulatory gaps, the need for enhanced consumer protection, and the importance of addressing technology-based economic crimes.

This guidance outlines the Office of the Victorian Information Commissioner’s position on the use of publicly available Generative AI tools within Victorian public sector organisations. It mandates that staff and contractors must not enter personal information into these tools, as doing so violates Information Privacy Principles under Victorian law. The document details various privacy, security, and accuracy risks and sets minimum expectations for public sector organisations considering generative AI use.

This white paper examines how standards can enable safe, scalable, and economically meaningful deployment of embodied artificial intelligence (EAI). Jointly developed by the Singapore Standards Council and ASTM International, the paper identifies five critical standardisation gaps hindering EAI adoption: data governance and privacy, enterprise AI safety and reliability, workplace safety and risk management, interoperability and middleware, and quality certification. It maps global research and policy efforts, utilizes Singapore's ecosystem as a living lab to illustrate practical lessons, and outlines opportunities for international collaboration.

This special audit report by the State Comptroller of Israel presents the findings of a multinational parallel audit conducted with supreme audit institutions across twelve European countries regarding governmental preparedness for the artificial intelligence revolution. The report evaluates national readiness across nine key domains including strategies, budgets, regulation, infrastructure, information security, digital maturity, government projects, human capital, and natural language processing. It highlights gaps between strategic visions and actual implementation, budget allocation and execution, and data governance across the participating jurisdictions.

This academic paper investigates the causal influence of a robot's moral versus immoral behavior across four experiments involving text or video vignettes. The authors explore how moral transgressions such as cheating or physical harm impact the robot's perceived trustworthiness, goodwill, likeability, and the human's willingness to self-disclose. Results indicate that immoral robot behavior consistently leads to reduced perceived trustworthiness and goodwill, while effects on likeability and self-disclosure vary by severity and presentation medium.

This document outlines Spain's proposed AI bill for trustworthy artificial intelligence, establishing a risk-based classification system, penalties for non-compliance, and measures for fundamental rights protection. It details prohibited AI practices such as social scoring and mass biometric surveillance, imposes obligations on high-risk and transparent AI systems, and assigns oversight roles to sector authorities and AESIA. Additionally, it highlights Spain's investments, infrastructure, and governance structures for safe AI development and public administration integration.

Senate Bill 720 establishes the 'Artificial Intelligence Ready Schools Act' in Maryland, requiring the State Department of Education to provide AI guidance, professional development, and evaluative tools for K-12 schools. The legislation mandates local school systems to adopt AI policies, designate coordinators, and procure AI tools consistent with State standards. Additionally, it creates the Maryland AI Education Collaborative on Artificial Intelligence in K-12 Education to study AI uses and report findings annually.

This paper presents a philosophically grounded argument against the feasibility of creating human-like police robots capable of open-ended social policing, discretionary norm application, and accountable coercive authority. Drawing on ecological psychology and the inherent limits of stochastic and neurosymbolic AI models, the authors show that machines cannot master human dialogue or situational judgment. While narrow robotics tools can assist with specific hazardous or routine tasks, autonomous social police robots remain conceptually and practically impossible.

This joint report by the United Nations Economic and Social Commission for Western Asia (ESCWA) and the International Labour Organization (ILO) examines the potential implications of artificial intelligence technologies for employment in the Arab region between 2025 and 2035. It analyses AI exposure, automation, augmentation, and sectoral trends using a strategic foresight methodology and provides policy recommendations. The report aims to help leaders shape pathways toward shared prosperity and mitigate the risks of AI exacerbating unemployment or inequality.

This document outlines Singapore's refreshed National AI Strategy (NAIS) priorities across ten enablers to accelerate AI adoption, build deep research capabilities, nurture talent, and foster a trusted environment. It introduces national AI Missions focused on advanced manufacturing, financial services, connectivity, and healthcare to drive sectoral transformation. Furthermore, the strategy emphasizes ecosystem integration, data governance, resource-efficient compute, and international leadership.

IBM's Responsible Technology and Governance Framework outlines corporate principles, pillars, and impact dimensions for designing, deploying, and governing artificial intelligence and emerging technologies. Governed by the Responsible Technology Board, the framework emphasizes transparency, fairness, robustness, privacy, human agency, societal wellbeing, and environmental sustainability. It is operationalized through the Integrated Governance Program, educational initiatives, open-source toolkits, and software like IBM watsonx.governance.

This factsheet outlines Singapore's updated National AI Strategy, detailing 10 refreshed priorities designed to harness artificial intelligence for the public good. The strategy focuses on three key areas: deepening sectoral and public sector transformation, mainstreaming AI adoption and workforce readiness, and building a trusted global AI hub. Key enablers include national AI Missions, research funding, talent development, compute access, data governance, and trusted AI frameworks.

These draft European Commission guidelines support providers, deployers, and market surveillance authorities in assessing whether an AI system should be classified as high-risk under the EU AI Act. The document interprets key classification concepts and provides practical examples of AI systems that should or should not be classified as high-risk under both product safety legislation and Annex III use cases. It aims to facilitate the uniform application and effective enforcement of Article 6 of the AI Act.