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• Ethical Use of Artificial Intelligence in Public Health: Mitigating Risks and Advancing Health Equity.
  Artificial intelligence (AI) is increasingly integrated into public health practice, offering new tools for surveillance, behavioral interventions, disease prevention, risk communication, and population health management. Although AI demonstrates promise for e…
  europepmc 2026 置信度 0.80
• Stakeholders’ perceptions of AI-assisted obstetric ultrasound in rural and urban Kenya: a qualitative study
  Abstract Introduction : As artificial intelligence (AI) tools gain popularity in maternal healthcare, understanding community and health system perspectives is essential for inclusive and ethical implementation. This study explores stakeholder views on AI-supp…
  europepmc 2026 置信度 0.80
• Diagnosis classification in EMR data using latent representations and SNOMED-CT mapping for improved medical data integration.
  Integrating medical data across hospitals has become a critical challenge in medical informatics, largely due to the heterogeneity of electronic medical record (EMR) systems. This study aims to address this issue by developing a diagnosis classification model …
  europepmc 2026 置信度 0.80
• Developing trustworthy AI for climate services at scale.
  Generative AI can help scale climate services to meet growing demand. This approach is illustrated here with two prototype AI systems designed to enhance access to climate data, support decision-making, and improve efficiency. Key concerns are identified aroun…
  europepmc 2026 置信度 0.80
• AI-driven robotics for optics.
  Optical experiments are essential across science and technology, yet their design, assembly, and alignment remain predominantly manual, limiting throughput, reproducibility, and scalability. Automating such experiments is challenging because of stringent preci…
  europepmc 2026 置信度 0.80
• Mapping artificial intelligence integration in objective structured clinical examinations: A scoping review.
  Introduction Objective Structured Clinical Examinations (OSCEs) are widely used to assess clinical competence, but face challenges related to examiner workload, scoring variability, delayed feedback, and resource demands. Although AI may address these constrai…
  europepmc 2026 置信度 0.80
• Conversational multi-turn interaction does not ensure triage-disposition alignment in ChatGPT Health in real and synthetic patient encounters
  ABSTRACT Individuals increasingly use conversational AI systems for symptom guidance. Whether multi-turn interactions improve clinical triage standard alignment remains uncertain. We conducted a retrospective, cross-sectional evaluation of 255 cases from three…
  europepmc 2026 置信度 0.80
• Teaching AI to handle exceptions: Supervised fine-tuning with human-aligned judgment.
  Large language models (LLMs), initially developed for generative AI, are now evolving into agentic AI systems, which make decisions in complex, real-world contexts. Unfortunately, while their generative capabilities are well-documented, their decision-making p…
  europepmc 2026 置信度 0.80
• Scaffolding human and AI instruction: Neural alignment and learning gains in online education.
  Social interactions are foundational to learning, yet scalable one-on-one instructor-student interaction remains challenging in online video learning. We examine whether a brief, structured pre-lecture instructor-student interaction, led by either a human or l…
  europepmc 2026 置信度 0.80
• Navigating AI with pedagogical purpose: Toward an anatomy-centered framework for AI-enhanced learning.
  Artificial Intelligence (AI) has emerged as a transformative force in medical education, enabling customized, feedback-rich, and immersive learning experiences. Anatomy education, as a discipline that is simultaneously visual, spatial, and clinically foundatio…
  europepmc 2026 置信度 0.80
• AI Chatbot Suicide Risk Detection and Response: Human Validation Study of the Open-Source VERA-MH Safety Evaluation.
  Background Millions of people now use leading generative artificial intelligence (AI) tools (chatbots) for psychological support. Despite the promise related to availability and scale, the single most pressing question in AI for mental health is whether these …
  europepmc 2026 置信度 0.80
• Artificial Intelligence in Spine Neuroimaging: Diagnostic and Prognostic Utility of Novel Biomarkers in Lower Back Pain.
  Lower back pain (LBP) is a leading cause of disability globally, characterized by multifactorial origins that complicate accurate diagnosis and effective treatment planning. Artificial intelligence (AI), including machine learning (ML), deep learning (DL), and…
  europepmc 2026 置信度 0.80
• Modeling Individual Language Patterns and Psychological Constructs to Generate AI-Augmented Data for Scalable Psychological Assessment.
  Scientific and systematic data collection and analysis have long been a crucial foundation in psychological assessment systems. It is only through this process that psychology professionals can effectively measure and interpret individuals' mental states, beha…
  europepmc 2026 置信度 0.80
• Compassionate Feedback in AI-Assisted Assessment: A Comparative Analysis of Novice and Experienced Teachers' Feedback Patterns within the Integrated AI Triad (IAT) Framework
  Abstract The integration of generative AI into educational assessment has transformed feedback practices, yet the extent to which AI-generated feedback supports compassionate teaching—integrating emotional attunement with precise cognitive scaffolding— remains…
  europepmc 2026 置信度 0.80
• AI-Empowered Nuclear Medicine Education, Part 1: Theoretical and Ethical Foundation.
  Nuclear medicine (NM) is rapidly expanding with new radiopharmaceuticals, imaging equipment, and theranostic possibilities, necessitating a capable and competent workforce expansion. Consequently, NM education must undergo a transformation, powered in part by …
  europepmc 2026 置信度 0.80
• Medical AI and Human Dignity: A Catholic Normative Ethical Framework in Light of Magnifica Humanitas.
  Artificial intelligence (AI) is rapidly reshaping healthcare through advances in prediction and personalization, yet these developments also raise questions that are not merely technical but also are moral and religious. This article offers a normative framewo…
  europepmc 2026 置信度 0.80
• Artificial intelligence advancements for orthopaedic clinical reasoning: longitudinal assessment of newer models (ChatGPT-5, Grok-3, Gemini 2.5 Flash) compared to clinicians.
  Introduction This descriptive study aimed to longitudinally evaluate the performance of contemporary large language models - ChatGPT-5, Gemini 2.5 Flash, and Grok-3 - on orthopaedic clinical multiple-choice tasks, benchmarked against pooled clinician consensus…
  europepmc 2026 置信度 0.80
• Implementation and Adoption of Novel Antenatal Technologies for Routine Pregnancy Care in Low-Income Settings: A Multicentre Qualitative Study
  Abstract Background Stillbirth remains a major global health problem, with most occurring in low- and middle-income countries (LMICs). Novel antenatal technologies, including Doppler ultrasound, maternal haemodynamic monitoring and artificial intelligence (AI)…
  europepmc 2026 置信度 0.80
• AI-based disease severity grading predicts complications in laparoscopic appendectomy.
  Background Appendicitis severity underpins contemporary management guidelines, where laparoscopic appendectomy remains gold standard. Preoperative measures poorly predict actual disease severity or complication risk, while operative grading systems such as the…
  europepmc 2026 置信度 0.80
• Moving towards acceleration with accountability: a conceptual framework for AI-assisted systematic reviews.
  Introduction Artificial intelligence (AI) is being rapidly integrated into systematic review workflows, yet its impact on methodological rigor, transparency, and reporting quality remains poorly understood. This work examines the current use of AI assistance i…
  europepmc 2026 置信度 0.80
• Findings from the 2025 AMCP Foundation Symposium: Health Optimization 2.0.
  The 2025 AMCP Foundation Symposium: Health Optimization 2.0 convened a select group of just over 70 managed care stakeholders in Dallas, Texas, on December 2-3, 2025. Via presentations and panel sessions, participants examined how precision medicine, data anal…
  europepmc 2026 置信度 0.80
• Beyond the algorithm: health technology assessment frameworks for AI in cardiology under the European Union Health Technology Assessment Regulation: a systematic review.
  Background Artificial intelligence (AI) is increasingly used in cardiovascular care to support diagnosis, monitoring and clinical decision-making. However, its dynamic and adaptive nature challenges conventional health technology assessment (HTA) frameworks, w…
  europepmc 2026 置信度 0.80
• Integrating knowledge graphs and contextual patterns for legal concept alignment.
  AI-assisted legal concept alignment, defined as identifying legal concepts that best correspond to a given fact description based on computational relevance, addresses the growing need for complex legal analysis that requires both semantic understanding and in…
  europepmc 2026 置信度 0.80
• Implementation of AI-Enabled Obstetric Ultrasound in Kenya: A Qualitative Study of Anticipated Usability, Feasibility, and Acceptability.
  Abstract Background: Access to obstetric ultrasound remains limited in many low- and middle-income countries, contributing to delays in diagnosis and care. Although AI-enabled portable ultrasound has the potential to expand access, successful implementation de…
  europepmc 2026 置信度 0.80
• Comparing five generative AI chatbots' answers to LLM-generated clinical questions with medical information scientists' evidence summaries.
  Objective To compare answers to clinical questions between five publicly available large language model (LLM) chatbots and information scientists. Methods LLMs were prompted to provide 45 PICO (patient, intervention, comparison, outcome) questions addressing t…
  europepmc 2026 置信度 0.80
• Toward Human-Aligned, Modular, and Emotion-Aware Multi-Agent Systems: A Systematic Literature Review
  Abstract Recent advances in agentic AI have accelerated a shift from monolithic language models toward modular, multi-agent systems enriched with memory, orchestration, and affect-aware interaction. Large Language Models now serve as reasoning and communicatio…
  europepmc 2026 置信度 0.80
• AI Maturity as a Double-Edged Capability: Planning Fallacy and Firm Performance in Technology Startups
  Abstract Artificial intelligence (AI) maturity is increasingly viewed as a source of advantage for technology startups, yet its value may depend on the planning assumptions guiding its use. Drawing on socio-technical systems theory, the attention-based view of…
  europepmc 2026 置信度 0.80
• Agreement Between Artificial Intelligence Platforms and the UpToDate Lexidrug Database in Identifying Antihypertensive Drug-Drug Interactions in Older Adults.
  Objectives This study aimed to compare the agreement and consistency of classifications generated by ChatGPT-4.5 and Meta AI (Llama 4 Scout) with those of the UpToDate Lexidrug reference standard for identifying potential drug interactions involving antihypert…
  europepmc 2026 置信度 0.80
• Differences in perceived experiences of AI-based versus human psychological support and their predictors: evidence from paired tests and hierarchical regression
  Abstract Background Conversational artificial intelligence (AI) is increasingly used for psychological support in everyday help-seeking. In real-world settings, many individuals use both AI tools and human counseling; however, evidence quantifying within-perso…
  europepmc 2026 置信度 0.80
• Counsellor review of artificial intelligence recommendations improves feasibility adjusted career fit and reduces socioeconomic disparity
  Abstract Artificial intelligence increasingly mediates how young people enter the workforce, with recommender systems guiding students’ educational and career decisions at the start of their working lives. Such systems are evaluated largely on predictive accur…
  europepmc 2026 置信度 0.80
• Anniemap: Vector Search for Viral Short Read Alignment
  Background The process of aligning sequencing reads to a reference genome is a foundational step in genomic analysis, underpinning tasks from variant detection to pathogen surveillance. In viral genomics, however, this problem becomes substantially more challe…
  europepmc 2026 置信度 0.80
• Impact of Query Language on the Structure and Guideline Alignment of AI-Generated Rehabilitation Programs in Chronic Kidney Disease.
  Background: Artificial intelligence (AI) is increasingly used in nephrology, including rehabilitation planning for patients with chronic kidney disease (CKD). However, most AI systems are predominantly trained on English-language data, which may influence the …
  europepmc 2026 置信度 0.80
• AI models as cultural beings: Investigating AI cultural biases and the impact of cultural alignment on human-AI creative collaboration.
  Existing research on AI cultural biases predominantly focuses on Western models, overlooking critical gaps in non-Western models. We conduct a comparative analysis of AI models-ChatGPT (US developed) and ErnieBot (China developed)-from different cultures to in…
  europepmc 2026 置信度 0.80
• Interpretable polyp classification via end-to-end Concept Bottleneck Models with vision-language concept alignment.
  Background and objective Artificial intelligence has improved adenoma detection during colonoscopy, but most models remain black boxes, limiting clinical trust, especially for sessile serrated lesions (SSLs). Concept Bottleneck Models (CBMs) route predictions …
  europepmc 2026 置信度 0.80
• Global Impacts of Artificial General Intelligence and Artificial Superintelligence
  This study examines the global impacts of Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI) through a conceptual review of the related literature. AGI refers to AI systems that may match human cognitive ability across multiple domain…
  europepmc 2026 置信度 0.80
• What are we sharing? Faculty use of generative AI and the questions we have not yet asked in nursing education.
  Generative AI has entered nursing education rapidly and pervasively. While considerable scholarly attention has been directed toward student use of these tools, including concerns about academic integrity, citation fabrication, and the design of AI-resistant a…
  europepmc 2026 置信度 0.80
• Artificial Intelligence Readiness in Clinical Trial Operations: A Narrative Review and Site-Level Governance Framework.
  Background/Objectives: Artificial intelligence (AI) is increasingly introduced into clinical trial operations, but operational usefulness does not imply regulatory or site-level readiness. This review maps AI applications across trial operations and proposes a…
  europepmc 2026 置信度 0.80
• Accuracy of Orthodontic Malocclusion Detection Using Multiple AI Models: A Comparative Study.
  Objectives This study aimed to evaluate and compare the accuracy of multiple artificial intelligence (AI) models (ChatGPT 5.2 Pro, Gemini 3 Fast, Claude 4.5 Sonnet, and Microsoft Copilot) in detecting orthodontic malocclusion features in standardized multiview…
  europepmc 2026 置信度 0.80
• Can Consumers Rely on AI Chatbots for Food Safety Advice? A Comparative Analysis of Chatbot Responses and Food Safety Specialists' Guidance.
  The growing integration of artificial intelligence tools, particularly conversational agents, is transforming how consumers access information, including content related to critical areas such as public health and personal healthcare. A portion of the American…
  europepmc 2026 置信度 0.80
• An artificial intelligence use framework for nursing education: Bridging policy and pedagogical implementation.
  Background Artificial intelligence (AI) is transforming higher education and healthcare, yet nursing faculty lack practical guidance for determining appropriate AI use in specific academic tasks. Institutional AI policies establish boundaries but rarely addres…
  europepmc 2026 置信度 0.80
• AI-generated patient instructions as safety-critical communication: a provisional evidence-informed framework for clinical deployment.
  Generative artificial intelligence (AI) can convert clinical information into patient-facing instructions, including discharge summaries, medication explanations, portal messages and plain-language educational materials. These outputs may improve accessibility…
  europepmc 2026 置信度 0.80
• An explainable fairness-aware AI framework for exam score verification.
  Ensuring fairness and reliabilityin examination scoring remains a persistent challenge in educational assessment, particularly in the presence of subjective grading inconsistencies across evaluators. While automated essay scoring systems improve scalability, l…
  europepmc 2026 置信度 0.80
• Target-label-free artificial intelligence framework for cross-anatomical RNFL biomarker segmentation in optical coherence tomography.
  Background Effective glaucoma management relies on accurate optical coherence tomography (OCT) quantification of the circumpapillary retinal nerve fiber layer (cpRNFL) to track disease progression. However, the clinical translation of artificial intelligence (…
  europepmc 2026 置信度 0.80
• AI-derived Protein Structures Validation: AlphaFold2 Models in the Twilight Zone
  In any field, unquestioningly accepting artificial intelligence (AI) results should be considered bad practise. Here, we devised a comparative modelling-based strategy for validating protein structures that exploits the well-known observation that protein fold…
  europepmc 2026 置信度 0.80
• Agentic AI Systems Should Be Evaluated for Structural Governability, Not Only Output Alignment
  Agentic AI systems plan over time, call tools, write and retrieve memory, and coordinate across modules and services. Some of the most consequential failures in such systems are structural before they are behavioral: hidden coordination, trace-mediated lock-in…
  europepmc 2026 置信度 0.80
• Combined values alignment and epistemic verification prevent delusional reinforcement in conversational AI agents
  Conversational AI is being deployed into medical decision support, mental-health triage, and social companionship, where reinforcement of a user’s false or delusional belief can cause direct harm. Most deployed safety techniques are evaluated for factual accur…
  europepmc 2026 置信度 0.80
• A Structured Comparison of the Coalition for Health AI Responsible AI Guide and South Korea's Trustworthy AI Guideline for Health Care AI Assurance: Comparative Framework Analysis.
  Background Trustworthy artificial intelligence (AI) in health care requires assurance frameworks that translate ethical principles into measurable governance and evaluation practices. While a growing number of AI assurance frameworks have been proposed, they d…
  europepmc 2026 置信度 0.80
• AI Integration in Undergraduate Medical Education: Qualitative Study of Faculty Perspectives in the United Arab Emirates.
  Background AI is transforming health care, creating an imperative to integrate AI into medical education. While student perspectives are well-studied, faculty views, particularly in non-Western contexts, remain underexplored. Objective This qualitative study e…
  europepmc 2026 置信度 0.80
• Extreme Heat in the Age of Generative AI: Assessing the Accuracy, Accessibility, Equity, and Inclusion of Theory for Public Health Communication.
  Extreme heat, driven by climate change, poses significant health risks, particularly for vulnerable populations such as older adults, infants, and individuals with chronic illnesses. Generative AI may help tailor and scale climate adaptation messages, includin…
  europepmc 2026 置信度 0.80
• Correlation between Sagittal Plane Deformities of the Hip and Spinopelvic Alignment in Advanced Hip arthritis patients undergoing Total Hip Arthroplasty: A Prospective Observational Study
  Abstract Purpose This study evaluated the relationship between Fixed flexion deformity (FFD), hip range of motion (ROM), and dynamic spinopelvic parameters and identified predictors of early postoperative sacral slope (SS) mobility in patients with advanced hi…
  europepmc 2026 置信度 0.80
• Learning with Recurrence Geometric AI in Spatial Transcriptomics
  Cross-domain analysis of spatial transcriptomics is challenging because tissues from different organs, diseases and experimental platforms exhibit distinct cellular compositions, spatial organisations and technical biases, making direct comparison of tissue st…
  europepmc 2026 置信度 0.80
• Optimized treatment of hip ankylosis in spondylitis with direct anterior approach arthroplasty using AI navigation: a case report.
  Background Complex hip-spine syndrome combined with hip ankylosis is clinically challenging to manage. Traditional surgeries are associated with insufficient precision and significant trauma, which easily lead to poor lumbar-pelvic-hip alignment and affect pro…
  europepmc 2026 置信度 0.80
• Plastic Surgery Search Engine Optimization in the Artificial Intelligence Era.
  Marketing in aesthetic plastic surgery has shifted from traditional print and television toward digital-first strategies, with social media and search engine optimization (SEO) now shaping how patients engage with practices. More than 90% of cosmetic patients …
  europepmc 2026 置信度 0.80
• Evaluating Agreement Between Human Consensus and Large Language Model Ratings of Suicide Reporting
  Abstract Responsible reporting on suicide is an important public health strategy but monitoring whether news articles follow reporting recommendations is difficult at scale. While the Tool for Evaluating Media Portrayals of Suicide (TEMPOS) provides a structur…
  europepmc 2026 置信度 0.80
• Generating Culturally Responsive Visual Aids for Teaching and Learning
  Abstract Generative artificial intelligence is increasingly being explored as a pedagogical support tool in teacher education, yet limited empirical evidence exists on how preservice teachers interact with customized AI systems to create culturally responsive …
  europepmc 2026 置信度 0.80
• Charting cross-cultural AI perception: An exploratory study of expectations, risk-benefit trade-offs, and values in Germany and China.
  As artificial intelligence (AI) continues to advance, understanding public perceptions-including biases, risks, and benefits-is essential for guiding research priorities and AI alignment, shaping public discourse, and informing policy. This exploratory study i…
  europepmc 2026 置信度 0.80
• Tool or Companion? Reframing Conversational AI to Prevent Psychological Harm
  People increasingly turn to conversational AI for companionship, emotional support, and well-being, using both purpose-built companion apps such as Replika and Character.ai and general-purpose assistants such as ChatGPT and Claude. While some evidence suggests…
  europepmc 2026 置信度 0.80
• Automating surgical guide design for single anterior implants powered by artificial intelligence - a clinical report.
  Implant dentistry has undergone a significant transformation with the integration of artificial intelligence (AI) into digital workflows. AI, a branch of computer science that enables machines to simulate human cognitive processes, has demonstrated the potenti…
  europepmc 2026 置信度 0.80
• Why do AI projects fail in drug development and pharma? Insights from multi-year Pistoia Alliance studies.
  Artificial intelligence (AI) is playing an increasingly central role in drug discovery and the pharmaceutical industry more broadly. However, despite some high-profile success stories, many technically successful pilots do not translate into sustained business…
  europepmc 2026 置信度 0.80
• Agentic AI for Cyber Defense: A Survey of Failure Modes, Applications, and Research Opportunities
  Modern agentic systems that plan, reason, invoke tools, and self-reflect offer a promising path to autonomous cyber defense and SOC analyst augmentation. Yet this same autonomy introduces novel failure modes and attack surfaces absent from traditional security…
  europepmc 2026 置信度 0.80
• Generative AI as a cognitive co-learner: a developmental framework for AI literacy in health sciences education.
  Generative artificial intelligence (AI), especially large language models, is playing an expanding role in shaping learning within health sciences education. Current discussions often focus on efficiency or academic integrity, with less attention to how learne…
  europepmc 2026 置信度 0.80
• Generative AI in physical education and health: a narrative review and conceptual framework for interdisciplinary thematic learning.
  Generative artificial intelligence (GenAI) has created new possibilities for teaching and learning, yet its pedagogical role in physical education and health (PEH) remains underdeveloped. Current AI-related research in PEH has largely focused on performance-or…
  europepmc 2026 置信度 0.80
• Accuracy of artificial intelligence-based functions in intraoral scanners: A systematic review.
  Statement of problem Artificial intelligence (AI)-based applications have increasingly been developed and integrated in different digital data acquisition technologies, including intraoral scanners (IOSs). A comprehensive evaluation of their accuracy and curre…
  europepmc 2026 置信度 0.80
• Extending the Fundamental Theorem of Biomedical Informatics for the AI era.
  Background Charles Friedman's Fundamental Theorem of Biomedical Informatics holds that a person working in partnership with an information resource outperforms that same person unassisted. Since its publication, advances in artificial intelligence (AI), adapti…
  europepmc 2026 置信度 0.80
• A bimodal large language model reduces misalignment in patient education: A double-blinded randomized trial.
  Background Effective patient education requires accurate communication aligned with patients' emotional and semantical needs. Text-based large language models (LLMs) lack access to non-verbal cues, which may contribute to misaligned responses. Methods We evalu…
  europepmc 2026 置信度 0.80
• Does alignment with Roussouly classification improve outcomes in well-aligned adult spinal deformity patients?
  Background Correction of adult spinal deformity (ASD) using the Roussouly classification, SRS-Schwab classification, or the global alignment and proportion (GAP) score is associated with reduced mechanical complications. However, the benefit of combining these…
  europepmc 2026 置信度 0.80
• Multi-Level Testing of Conversational AI Systems
  Conversational AI systems combine AI-based solutions with the flexibility of conversational interfaces. However, most existing testing solutions do not straightforwardly adapt to the characteristics of conversational interaction or to the behavior of AI compon…
  arxiv Elena Masserini 2026-02-03T09:38:59Z 置信度 0.78 cs.SE
• Probing the Probes: Methods and Metrics for Concept Alignment
  In explainable AI, Concept Activation Vectors (CAVs) are typically obtained by training linear classifier probes to detect human-understandable concepts as directions in the activation space of deep neural networks. It is widely assumed that a high probe accur…
  arxiv Jacob Lysnæs-Larsen, Marte Eggen, Inga Strümke 2025-11-06T12:34:05Z 置信度 0.78 cs.AI
• A paradox of AI fluency
  How much does a user's skill with AI shape what AI actually delivers for them? This question is critical for users, AI product builders, and society at large, but it remains underexplored. Using a richly annotated sample of 27K transcripts from WildChat-4.8M, …
  arxiv Christopher Potts, Moritz Sudhof 2026-04-28T17:51:13Z 置信度 0.78 cs.CL
• Enhancing Trust in AI Marketplaces: Evaluating On-Chain Verification of Personalized AI models using zk-SNARKs
  The rapid advancement of artificial intelligence (AI) has brought about sophisticated models capable of various tasks ranging from image recognition to natural language processing. As these models continue to grow in complexity, ensuring their trustworthiness …
  arxiv Nishant Jagannath, Christopher Wong, Braden Mcgrath, Md Farhad Hossain 等 2025-04-07T07:38:29Z 置信度 0.78 cs.CRcs.DC
• The AI-DEC: A Card-based Design Method for User-centered AI Explanations
  Increasing evidence suggests that many deployed AI systems do not sufficiently support end-user interaction and information needs. Engaging end-users in the design of these systems can reveal user needs and expectations, yet effective ways of engaging end-user…
  arxiv Christine P Lee, Min Kyung Lee, Bilge Mutlu 2024-05-26T22:18:38Z 置信度 0.78 cs.HCcs.AI
• What is Human-Centeredness in Human-Centered AI? Development of Human-Centeredness Framework and AI Practitioners' Perspectives
  There is no consensus on what constitutes human-centeredness in AI, and existing frameworks lack empirical validation. This study addresses this gap by developing a hierarchical framework of 26 attributes of human-centeredness, validated through practitioner i…
  arxiv Aung Pyae 2025-02-05T15:51:03Z 置信度 0.78 cs.HC
• From Precision Medicine to Precision Education: A Vision for AI-Powered Student Digital Twins, Preventive Student Success, and Career-Aligned Academic Pathways
  Higher education remains largely reactive in its approach to student success. Institutions frequently identify academic problems only after students have failed courses, fallen behind in degree progression, accumulated excessive debt, or departed without a cre…
  arxiv Kaushik Dutta 2026-08-06T17:36:56Z 置信度 0.78 cs.CY
• Designing Ethical Learning for Agentic AI: Toegye Yi Hwang's Ethical Emotion Regulation Framework
  Agentic AI systems capable of autonomous goal setting and proactive intervention introduce new challenges for regulating moral-emotional processes in learning environments. Existing frameworks typically treat emotion as reactive feedback or engagement optimiza…
  arxiv Ji Yeon Kim 2026-04-07T03:38:27Z 置信度 0.78 cs.CYcs.AI
• The Pedagogy of AI Mistakes: Fostering Higher-Order Thinking
  As generative AI becomes increasingly integrated into higher education, its frequent errors and hallucinations, often seen as limitations, offer a unique pedagogical opportunity. By framing AI as a ``learning companion'' whose imperfect outputs prompt analysis…
  arxiv Hadi Hosseini 2026-05-06T21:50:46Z 置信度 0.78 cs.CYcs.AI
• Building AI Service Repositories for On-Demand Service Orchestration in 6G AI-RAN
  Efficient orchestration of AI services in 6G AI-RAN requires well-structured, ready-to-deploy AI service repositories combined with orchestration methods adaptive to diverse runtime contexts across radio access, edge, and cloud layers. Current literature lacks…
  arxiv Yun Tang, Mengbang Zou, Udhaya Chandhar Srinivasan, Obumneme Umealor 等 2025-04-13T16:40:58Z 置信度 0.78 cs.AIcs.SE
• Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training
  Deep learning has become widely used in complex AI applications. Yet, training a deep neural network (DNNs) model requires a considerable amount of calculations, long running time, and much energy. Nowadays, many-core AI accelerators (e.g., GPUs and TPUs) are …
  arxiv Yuxin Wang, Qiang Wang, Shaohuai Shi, Xin He 等 2019-09-15T17:30:05Z 置信度 0.78 cs.DCcs.LG
• SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior
  The ideal AI safety moderation system would be both structurally interpretable (so its decisions can be reliably explained) and steerable (to align to safety standards and reflect a community's values), which current systems fall short on. To address this gap,…
  arxiv Jing-Jing Li, Valentina Pyatkin, Max Kleiman-Weiner, Liwei Jiang 等 2024-10-22T03:38:37Z 置信度 0.78 cs.CLcs.CY
• Do Machines Fail Like Humans? A Human-Centred Out-of-Distribution Spectrum for Mapping Error Alignment
  Determining whether AI systems process information similarly to humans is central to cognitive science and trustworthy AI. While modern AI models can match human accuracy on standard tasks, such parity does not guarantee that their underlying decision-making s…
  arxiv Binxia Xu, Xiaoliang Luo, Luke Dickens, Robert M. Mok 2026-03-08T04:51:39Z 置信度 0.78 cs.AI
• NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment
  Aligning Large Language Models (LLMs) with human values and preferences is essential for making them helpful and safe. However, building efficient tools to perform alignment can be challenging, especially for the largest and most competent LLMs which often con…
  arxiv Gerald Shen, Zhilin Wang, Olivier Delalleau, Jiaqi Zeng 等 2024-05-02T17:13:40Z 置信度 0.78 cs.CLcs.AIcs.LG
• Toward Human-Centered AI-Assisted Terminology Work
  Generative AI is likely to transform terminology work by creating new opportunities for automation. At the same time, it raises concerns about the future of terminologists and terminological resources, as efficiency pressures may encourage excessive automation…
  arxiv Antonio San Martin 2025-12-21T19:16:40Z 置信度 0.78 cs.CL
• Vertical Standardisation for High-Risk AI Systems under the EU AI Act: A Domain-Specific Framework for Algorithmic Hiring
  According to the recent European legislation, high-risk AI systems will have to adapt in order to comply with requirements related to specific areas, like risk management, data quality and governance, logging and traceability, technical documentation, transpar…
  arxiv Anna Gatzioura, Vrettos Moulos, Nina Baranowska 2026-07-14T10:00:27Z 置信度 0.78 cs.AI
• AI, Pluralism, and (Social) Compensation
  One strategy in response to pluralistic values in a user population is to personalize an AI system: if the AI can adapt to the specific values of each individual, then we can potentially avoid many of the challenges of pluralism. Unfortunately, this approach c…
  arxiv Nandhini Swaminathan, David Danks 2024-04-30T04:41:47Z 置信度 0.78 cs.AIcs.CYcs.GTcs.HCcs.LG
• AI Agents for Sustainable SMEs: A Green ESG Assessment Framework
  This study presents a novel, AI-driven framework for assessing Environmental, Social, and Governance (ESG) performance in European small and medium-sized enterprises (SMEs). An initial phase established expert-validated ESG baseline scores from a subset of the…
  arxiv Viet Trinh, Tan Nguyen, Minh-Huyen Phan, Quan Luu 2026-04-05T20:44:14Z 置信度 0.78 cs.AIecon.GN
• A Vision for Operationalising Diversity and Inclusion in AI
  The growing presence of Artificial Intelligence (AI) in various sectors necessitates systems that accurately reflect societal diversity. This study seeks to envision the operationalization of the ethical imperatives of diversity and inclusion (D&I) within …
  arxiv Muneera Bano, Didar Zowghi, Vincenzo Gervasi 2023-12-11T02:44:39Z 置信度 0.78 cs.AIcs.SE
• Evaluating and Aligning Human Economic Risk Preferences in LLMs
  Large Language Models (LLMs) are increasingly used in decision-making scenarios that involve risk assessment, yet their alignment with human economic rationality remains unclear. In this study, we investigate whether LLMs exhibit risk preferences consistent wi…
  arxiv Jiaxin Liu, Yixuan Tang, Yi Yang, Kar Yan Tam 2025-03-09T14:47:31Z 置信度 0.78 econ.GNcs.CL
• "I Don't Use AI for Everything": Exploring Utility, Attitude, and Responsibility of AI-empowered Tools in Software Development
  AI-empowered tools have emerged as a transformative force, fundamentally reshaping the software development industry and promising far-reaching impacts across diverse sectors. This study investigates the adoption, impact, and security considerations of AI-empo…
  arxiv Shidong Pan, Litian Wang, Tianyi Zhang, Zhenchang Xing 等 2024-09-20T09:17:10Z 置信度 0.78 cs.SEcs.CR
• Full Justified Representation under Hare and Droop Quotas in Polynomial Time
  I study Full Justified Representation (FJR) in approval-based multiwinner elections under both the Hare and Droop quota conventions. I introduce a descending-budget algorithm in which voters distribute their remaining budgets across their current representatio…
  arxiv Yizhou Ai 2026-08-05T21:20:42Z 置信度 0.78 cs.GT
• Harmonic Alignment
  We propose a novel framework for combining datasets via alignment of their intrinsic geometry. This alignment can be used to fuse data originating from disparate modalities, or to correct batch effects while preserving intrinsic data structure. Importantly, we…
  arxiv Jay S. Stanley, Scott Gigante, Guy Wolf, Smita Krishnaswamy 2018-09-30T14:23:10Z 置信度 0.78 cs.LGstat.ML
• How Does Artificial Intelligence Improve Human Decision-Making? Evidence from the AI-Powered Go Program
  We study how humans learn from AI, leveraging an introduction of an AI-powered Go program (APG) that unexpectedly outperformed the best professional player. We compare the move quality of professional players to APG's superior solutions around its public relea…
  arxiv Sukwoong Choi, Hyo Kang, Namil Kim, Junsik Kim 2023-10-12T20:28:05Z 置信度 0.78 econ.GN
• Bonseyes AI Pipeline -- bringing AI to you. End-to-end integration of data, algorithms and deployment tools
  Next generation of embedded Information and Communication Technology (ICT) systems are collaborative systems able to perform autonomous tasks. The remarkable expansion of the embedded ICT market, together with the rise and breakthroughs of Artificial Intellige…
  arxiv Miguel de Prado, Jing Su, Rabia Saeed, Lorenzo Keller 等 2019-01-15T21:27:28Z 置信度 0.78 cs.LGcs.DCcs.SDeess.ASstat.ML
• Beyond Single-Sentence Prompts: Upgrading Value Alignment Benchmarks with Dialogues and Stories
  Evaluating the value alignment of large language models (LLMs) has traditionally relied on single-sentence adversarial prompts, which directly probe models with ethically sensitive or controversial questions. However, with the rapid advancements in AI safety t…
  arxiv Yazhou Zhang, Qimeng Liu, Qiuchi Li, Peng Zhang 等 2025-03-28T03:31:37Z 置信度 0.78 cs.CLcs.AIcs.CY
• Building Ethically Bounded AI
  The more AI agents are deployed in scenarios with possibly unexpected situations, the more they need to be flexible, adaptive, and creative in achieving the goal we have given them. Thus, a certain level of freedom to choose the best path to the goal is inhere…
  arxiv Francesca Rossi, Nicholas Mattei 2018-12-10T18:58:05Z 置信度 0.78 cs.AIcs.CYcs.LG
• EXP-Bench: Can AI Conduct AI Research Experiments?
  Automating AI research holds immense potential for accelerating scientific progress, yet current AI agents struggle with the complexities of rigorous, end-to-end experimentation. We introduce EXP-Bench, a novel benchmark designed to systematically evaluate AI …
  arxiv Patrick Tser Jern Kon, Jiachen Liu, Xinyi Zhu, Qiuyi Ding 等 2025-05-30T16:46:29Z 置信度 0.78 cs.AI
• Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor
  In AI research and practice, rigor remains largely understood in terms of methodological rigor -- such as whether mathematical, statistical, or computational methods are correctly applied. We argue that this narrow conception of rigor has contributed to the co…
  arxiv Alexandra Olteanu, Su Lin Blodgett, Agathe Balayn, Angelina Wang 等 2025-06-17T15:44:41Z 置信度 0.78 cs.CYcs.AIcs.LG
• What are AI researchers worried about?
  As AI attracts vast investment and attention, there are competing concerns about the technology's opportunities and uncertainties that blend technical and social questions. The public debate, dominated by a few powerful voices, tends to highlight extreme promi…
  arxiv Cian O'Donovan, Sarp Gurakan, Ananya Karanam, Xiaomeng Wu 等 2026-03-06T12:34:33Z 置信度 0.78 cs.CY
• AI Research Agents Narrow Scientific Exploration
  AI research agents now support large-scale AI-assisted scientific discovery. We examine whether AI-generated ideas broaden scientific exploration or primarily reinforce existing work. Using five agent frameworks and five large language models, we generate 219,…
  arxiv Yixuan Tang, Yi Yang 2026-05-27T03:26:43Z 置信度 0.78 cs.CL
• Beyond Rating: A Comprehensive Evaluation and Benchmark for AI Reviews
  The rapid adoption of Large Language Models (LLMs) has spurred interest in automated peer review; however, progress is currently stifled by benchmarks that treat reviewing primarily as a rating prediction task. We argue that the utility of a review lies in its…
  arxiv Bowen Li, Haochen Ma, Yuxin Wang, Jie Yang 等 2026-04-21T14:21:15Z 置信度 0.78 cs.CL
• Challenges to Grassroots Organization Engagement with AI Policy
  Public policies are being developed around the world to address privacy, economic, intellectual property, energy, and other risks that AI technologies pose. Involvement from the general public is essential to governance as an accountability and alignment mecha…
  arxiv Carter Buckner, Jennifer Mickel, Nandhini Swaminathan, William Agnew 等 2026-06-18T05:43:49Z 置信度 0.78 cs.CY
• An Ontological AI-and-Law Framework for the Autonomous Levels of AI Legal Reasoning
  A framework is proposed that seeks to identify and establish a set of robust autonomous levels articulating the realm of Artificial Intelligence and Legal Reasoning (AILR). Doing so provides a sound and parsimonious basis for being able to assess progress in t…
  arxiv Lance Eliot 2020-08-04T16:12:30Z 置信度 0.78 cs.CYcs.AI