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• Telecom AI Native Systems in the Age of Generative AI -- An Engineering Perspective
  The rapid advancements in Artificial Intelligence (AI), particularly in generative AI and foundational models (FMs), have ushered in transformative changes across various industries. Large language models (LLMs), a type of FM, have demonstrated their prowess i…
  arxiv Ricardo Britto, Timothy Murphy, Massimo Iovene, Leif Jonsson 等 2023-10-18T07:55:54Z 置信度 0.78 cs.SEcs.AI
• AI Asset Management for Manufacturing (AIM4M): Development of a Process Model for Operationalization
  The benefits of adopting artificial intelligence (AI) in manufacturing are undeniable. However, operationalizing AI beyond the prototype, especially when involved with cyber-physical production systems (CPPS), remains a significant challenge due to the technic…
  arxiv Lukas Rauh, Mel-Rick Süner, Daniel Schel, Thomas Bauernhansl 2025-09-15T08:45:17Z 置信度 0.78 cs.SE
• Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making
  In AI-assisted decision-making, humans often passively review AI's suggestion and decide whether to accept or reject it as a whole. In such a paradigm, humans are found to rarely trigger analytical thinking and face difficulties in communicating the nuances of…
  arxiv Shuai Ma, Qiaoyi Chen, Xinru Wang, Chengbo Zheng 等 2024-03-25T14:34:06Z 置信度 0.78 cs.HCcs.AI
• Align, then memorise: the dynamics of learning with feedback alignment
  Direct Feedback Alignment (DFA) is emerging as an efficient and biologically plausible alternative to the ubiquitous backpropagation algorithm for training deep neural networks. Despite relying on random feedback weights for the backward pass, DFA successfully…
  arxiv Maria Refinetti, Stéphane d'Ascoli, Ruben Ohana, Sebastian Goldt 2020-11-24T22:21:27Z 置信度 0.78 stat.MLcond-mat.dis-nncs.LGcs.NE
• AI Researchers Must Help Lead Arms Control to Mitigate Military AI Risks
  The advancement of AI capabilities compels researchers and the public to be more aware of its potential worldwide impact. A pressing near-term concern is the regulation of military AI applications. Armament manufacturers and defense contractors are increasingl…
  arxiv Ted Fujimoto, Jacob Benz 2026-06-10T00:34:04Z 置信度 0.78 cs.CYcs.AIcs.ETcs.LG
• Toward Exascale AI for Science: A Scalable AI Skill for Autonomous Microkinetics Discovery
  We present a scalable AI-driven framework that advances autonomous scientific discovery by combining agentic workflow automation, high-performance computing, and scientific surrogate models. Using microkinetics discovery as a testbed, the work demonstrates how…
  arxiv Ken-ichi Nomura, William Dawson, Nabankur Dasgupta, Taufeq Mohammed Razakh 等 2026-06-27T22:10:01Z 置信度 0.78 cs.CE
• Bidirectional human-AI collaboration in brain tumour assessments improves both expert human and AI agent performance
  The benefits of artificial intelligence (AI) human partnerships-evaluating how AI agents enhance expert human performance-are increasingly studied. Though rarely evaluated in healthcare, an inverse approach is possible: AI benefiting from the support of an exp…
  arxiv James K Ruffle, Samia Mohinta, Guilherme Pombo, Asthik Biswas 等 2025-12-13T18:56:50Z 置信度 0.78 cs.HCcs.AIcs.LGcs.MA
• `It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges during Co-production of Responsible AI Values
  Recently, the AI/ML research community has indicated an urgent need to establish Responsible AI (RAI) values and practices as part of the AI/ML lifecycle. Several organizations and communities are responding to this call by sharing RAI guidelines. However, the…
  arxiv Rama Adithya Varanasi, Nitesh Goyal 2023-07-14T21:57:46Z 置信度 0.78 cs.AIcs.HC
• Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making
  As reliance on AI systems for decision-making grows, it becomes critical to ensure that human users can appropriately balance trust in AI suggestions with their own judgment, especially in high-stakes domains like healthcare. However, human + AI teams have bee…
  arxiv Zichen Chen, Yunhao Luo, Misha Sra 2025-01-28T02:03:00Z 置信度 0.78 cs.HCcs.AI
• Human-AI Coordination Zones: A Framework for Designing Human-in-the-Loop Experiences with Agentic AI
  As generative and agentic AI becomes embedded in everyday products, practitioners face a persistent challenge: how to design human-AI coordination -- the ongoing mutual adjustment between users and AI systems as mediate through interfaces-that supports usabili…
  arxiv James Pierce, Vaiva Kalnikaitė, Siddharth Gupta, Brian Granger 2026-05-01T01:03:08Z 置信度 0.78 cs.HCcs.AIcs.CY
• "I'm Not Confident in Debiasing AI Systems Since I Know Too Little": Teaching AI Creators About Gender Bias Through Hands-on Tutorials
  Gender bias is rampant in AI systems, causing bad user experience, injustices, and mental harm to women. School curricula fail to educate AI creators on this topic, leaving them unprepared to mitigate gender bias in AI. In this paper, we designed hands-on tuto…
  arxiv Kyrie Zhixuan Zhou, Jiaxun Cao, Xiaowen Yuan, Daniel E. Weissglass 等 2023-09-15T03:09:36Z 置信度 0.78 cs.HCcs.AIcs.CY
• Triadic Novelty: A Structural Typology of Science Innovation
  Scientific progress depends on novelty, but current evaluation systems often conflate novelty with recognition, favoring work that aligns with existing paradigms over ideas that challenge them. We introduce a theory-driven framework that conceptualizes novelty…
  arxiv Jin Ai, Richard S. Steinberg, Chao Guo, Filipi Nascimento Silva 2025-06-21T23:09:04Z 置信度 0.78 physics.soc-phcs.CYcs.SIstat.AP
• One Bad NOFO? AI Governance in Federal Grantmaking
  Much scholarship considers how U.S. federal agencies govern artificial intelligence (AI) through rulemaking and their own internal use policies. But agencies have an overlooked AI governance role: setting discretionary grant policy when directing billions of d…
  arxiv Dan Bateyko, Karen Levy 2025-05-13T00:08:22Z 置信度 0.78 cs.CYcs.AI
• Safety Degradation in AI Agents
  Despite the growing integration of retrieval-enabled AI agents into society, their safety and ethical behavior remain inadequately understood. In particular, the integration of LLMs and AI agents with external information sources and real-world environments ra…
  arxiv Cheng Yu, Benedikt Stroebl, Diyi Yang, Orestis Papakyriakopoulos 2025-05-20T11:21:40Z 置信度 0.78 cs.CY
• FPGA-based AI Smart NICs for Scalable Distributed AI Training Systems
  Rapid advances in artificial intelligence (AI) technology have led to significant accuracy improvements in a myriad of application domains at the cost of larger and more compute-intensive models. Training such models on massive amounts of data typically requir…
  arxiv Rui Ma, Evangelos Georganas, Alexander Heinecke, Andrew Boutros 等 2022-04-22T21:57:00Z 置信度 0.78 cs.DCcs.AI
• State of AI Ethics Report (Volume 6, February 2022)
  This report from the Montreal AI Ethics Institute (MAIEI) covers the most salient progress in research and reporting over the second half of 2021 in the field of AI ethics. Particular emphasis is placed on an "Analysis of the AI Ecosystem", "Privacy", "Bias", …
  arxiv Abhishek Gupta, Connor Wright, Marianna Bergamaschi Ganapini, Masa Sweidan 等 2022-02-12T14:14:32Z 置信度 0.78 cs.CYcs.AI
• Agentic AI Frameworks: Architectures, Protocols, and Design Challenges
  The emergence of Large Language Models (LLMs) has ushered in a transformative paradigm in artificial intelligence, Agentic AI, where intelligent agents exhibit goal-directed autonomy, contextual reasoning, and dynamic multi-agent coordination. This paper provi…
  arxiv Hana Derouiche, Zaki Brahmi, Haithem Mazeni 2025-08-13T19:16:18Z 置信度 0.78 cs.AI
• Developer Interaction Patterns with Proactive AI: A Five-Day Field Study
  Current in-IDE AI coding tools typically rely on time-consuming manual prompting and context management, whereas proactive alternatives that anticipate developer needs without explicit invocation remain underexplored. Understanding when humans are receptive to…
  arxiv Nadine Kuo, Agnia Sergeyuk, Valerie Chen, Maliheh Izadi 2026-01-15T10:20:57Z 置信度 0.78 cs.HCcs.SE
• AI Fairness in Practice
  Reaching consensus on a commonly accepted definition of AI Fairness has long been a central challenge in AI ethics and governance. There is a broad spectrum of views across society on what the concept of fairness means and how it should best be put to practice…
  arxiv David Leslie, Cami Rincon, Morgan Briggs, Antonella Perini 等 2024-02-19T23:02:56Z 置信度 0.78 cs.CYcs.AIcs.HC
• WIP: Software Engineering Competencies in the Age of AI
  A university education is meant to fully prepare graduates to enter and succeed in the workforce in their field. Accreditation bodies and professional organizations help to achieve this by publishing curriculum content, skills and competency models to outline …
  arxiv Lynn Vonderhaar, Massood Towhidnejad, Omar Ochoa 2026-07-14T02:00:54Z 置信度 0.78 cs.SE
• Generative AI and Foundation Models in Medical Image
  In recent years, generative AI has attracted significant public attention, and its use has been rapidly expanding across a wide range of domains. From creative tasks such as text summarization, idea generation, and source code generation, to the streamlining o…
  arxiv Masahiro Oda 2026-08-03T04:26:46Z 置信度 0.78 cs.CV
• Towards Urban Planing AI Agent in the Age of Agentic AI
  Generative AI, large language models, and agentic AI have emerged separately of urban planning. However, the convergence between AI and urban planning presents an interesting opportunity towards AI urban planners. Existing studies conceptualizes urban planning…
  arxiv Rui Liu, Tao Zhe, Zhong-Ren Peng, Necati Catbas 等 2025-07-19T19:40:42Z 置信度 0.78 cs.AI
• An introductory guide to aligning networks using SANA, the Simulated Annealing Network Aligner
  Sequence alignment has had an enormous impact on our understanding of biology, evolution, and disease. The alignment of biological {\em networks} holds similar promise. Biological networks generally model interactions between biomolecules such as proteins, gen…
  arxiv Wayne B. Hayes 2019-11-22T16:50:39Z 置信度 0.78 q-bio.MNq-bio.BM
• JEPA for AI-Native 6G: Predictive Representations and Open Challenges
  Sixth-generation (6G) networks are moving toward AI-native operation, where learning modules are embedded across the radio access network (RAN), edge, and core. This transition requires learning from limited labels, heterogeneous wireless and network data, par…
  arxiv Sheikh Salman Hassan, Irshad A. Meer, Almoatssimbillah Saifaldawla, Yan Kyaw Tun 等 2026-07-09T14:10:09Z 置信度 0.78 cs.LGcs.AIcs.NI
• The State of AI Ethics Report (Volume 5)
  This report from the Montreal AI Ethics Institute covers the most salient progress in research and reporting over the second quarter of 2021 in the field of AI ethics with a special emphasis on "Environment and AI", "Creativity and AI", and "Geopolitics and AI…
  arxiv Abhishek Gupta, Connor Wright, Marianna Bergamaschi Ganapini, Masa Sweidan 等 2021-08-09T10:47:14Z 置信度 0.78 cs.CYcs.AI
• SoK: On the Semantic AI Security in Autonomous Driving
  Autonomous Driving (AD) systems rely on AI components to make safety and correct driving decisions. Unfortunately, today's AI algorithms are known to be generally vulnerable to adversarial attacks. However, for such AI component-level vulnerabilities to be sem…
  arxiv Junjie Shen, Ningfei Wang, Ziwen Wan, Yunpeng Luo 等 2022-03-10T12:00:34Z 置信度 0.78 cs.CRcs.AIcs.RO
• AI Apology: A Critical Review of Apology in AI Systems
  Apologies are a powerful tool used in human-human interactions to provide affective support, regulate social processes, and exchange information following a trust violation. The emerging field of AI apology investigates the use of apologies by artificially int…
  arxiv Hadassah Harland, Richard Dazeley, Hashini Senaratne, Peter Vamplew 等 2024-12-20T10:58:27Z 置信度 0.78 cs.CY
• Position: EU AI Act's Research Exemptions Can Break the Publication Norms of Major AI Conferences
  The EU has become one of the vanguards in regulating the digital age. A particularly important regulation in the Artificial Intelligence (AI) domain is the 2024 enacted EU AI Act. The AI Act specifies -- due to a risk-based approach -- various obligations for …
  arxiv Alina Wernick, Kristof Meding 2025-06-03T08:01:36Z 置信度 0.78 cs.CYcs.AIcs.LG
• Strategies to architect AI Safety: Defense to guard AI from Adversaries
  The impact of designing for security of AI is critical for humanity in the AI era. With humans increasingly becoming dependent upon AI, there is a need for neural networks that work reliably, inspite of Adversarial attacks. The vision for Safe and secure AI fo…
  arxiv Rajagopal. A, Nirmala. V 2019-06-08T14:34:47Z 置信度 0.78 cs.AIcs.CRcs.CV
• AI as Decision-Maker: Ethics and Risk Preferences of LLMs
  Large Language Models (LLMs) exhibit surprisingly diverse risk preferences when acting as AI decision makers, a crucial characteristic whose origins remain poorly understood despite their expanding economic roles. We analyze 50 LLMs using behavioral tasks, fin…
  arxiv Shumiao Ouyang, Hayong Yun, Xingjian Zheng 2024-06-03T10:05:25Z 置信度 0.78 econ.GNcs.AIcs.CYcs.ETcs.HC
• Bibby AI -- AI Latex Editor writing assistant for researchers vs Overleaf Alternative vs OpenAI Prism. (Bibby AI Latex Editor)
  Large language models are increasingly integrated into academic writing workflows; however, the most widely used \LaTeX\ editors remain AI-peripheral -- offering compilation and collaboration, but no native intelligence. This separation forces researchers to l…
  arxiv Nilesh jain, Rohit Yadav, Andrej Karpathy 2026-02-18T13:10:35Z 置信度 0.78 cs.ET
• Low regularity solutions for gravity water waves II: The 2D case
  The gravity water waves equations describe the evolution of the surface of an incompressible, irrotational fluid in the presence of gravity. The classical regularity threshold for the well-posedness of this system requires initial velocity field in $H^s$, with…
  arxiv Albert Ai 2018-11-26T16:56:24Z 置信度 0.78 math.AP
• Microscopic stability thresholds and constant scalar curvature Kähler metrics
  In this paper, we directly prove that if the limit of microscopic stability thresholds introduced by Berman for a polarized manifold satisfies some condition, then there exists a unique constant scalar curvature Kähler metric. This is an analogue of K.Zhang's …
  arxiv Takahiro Aoi 2024-10-29T14:46:55Z 置信度 0.78 math.DGmath.AG
• Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebook
  Artificial intelligence (AI) presents new challenges for the user experience (UX) of products and services. Recently, practitioner-facing resources and design guidelines have become available to ease some of these challenges. However, little research has inves…
  arxiv Nur Yildirim, Mahima Pushkarna, Nitesh Goyal, Martin Wattenberg 等 2023-01-28T16:23:10Z 置信度 0.78 cs.HC
• Acceleration AI Ethics, the Debate between Innovation and Safety, and Stability AI's Diffusion versus OpenAI's Dall-E
  One objection to conventional AI ethics is that it slows innovation. This presentation responds by reconfiguring ethics as an innovation accelerator. The critical elements develop from a contrast between Stability AI's Diffusion and OpenAI's Dall-E. By analyzi…
  arxiv James Brusseau 2022-12-04T14:54:13Z 置信度 0.78 cs.CYcs.AI
• Physics of Grain Alignment
  Aligned grains provide one of the easiest ways to study magnetic fields in diffuse gas and molecular clouds. How reliable our conclusions about the inferred magnetic field depends critically on our understanding of the physics of grain alignment. Although grai…
  arxiv Lazarian A 2000-03-22T01:28:05Z 置信度 0.78 astro-ph
• The State of AI Ethics Report (January 2021)
  The 3rd edition of the Montreal AI Ethics Institute's The State of AI Ethics captures the most relevant developments in AI Ethics since October 2020. It aims to help anyone, from machine learning experts to human rights activists and policymakers, quickly dige…
  arxiv Abhishek Gupta, Alexandrine Royer, Connor Wright, Falaah Arif Khan 等 2021-05-19T10:59:17Z 置信度 0.78 cs.CYcs.AI
• Practical Application and Limitations of AI Certification Catalogues in the Light of the AI Act
  In this work-in-progress, we investigate the certification of AI systems, focusing on the practical application and limitations of existing certification catalogues in the light of the AI Act by attempting to certify a publicly available AI system. We aim to e…
  arxiv Gregor Autischer, Kerstin Waxnegger, Dominik Kowald 2025-01-20T15:54:57Z 置信度 0.78 cs.CYcs.AIcs.LG
• "Are you an AI?" Analyzing Client Suspicion of AI Use in Crisis Counseling
  As artificial intelligence (AI) tools get increasingly deployed for mental healthcare, public trust in these systems remains uncertain. It is unclear how clients perceive AI involvement in counseling interactions, particularly in moments of crisis that require…
  arxiv Shreya Shah, Akshay Swaminathan, Meghana Simhadri, Ivan Lopez 等 2026-05-10T22:36:06Z 置信度 0.78 cs.HCcs.CY
• Toward an Artist-Centred AI
  Awareness about the immense impact that artificial intelligence (AI) might have or already has made on the social, economic, political, and cultural realities of our world has become part of the mainstream public discourse. Attributes such as ethical, responsi…
  arxiv Gordan Krekovic, Antonio Poscic, Dejan Grba 2024-04-13T09:43:23Z 置信度 0.78 cs.CY
• Autonomous AI and Ownership Rules
  This Article examines the circumstances in which AI-generated outputs remain linked to their creators and the points at which they lose that connection, whether through accident, deliberate design, or emergent behavior. In cases where AI is traceable to an ori…
  arxiv Frank Fagan 2026-02-09T18:58:52Z 置信度 0.78 cs.CYcs.AI
• The AI Amplifier Effect: Defining Human-AI Intimacy and Romantic Relationships with Conversational AI
  What does it mean to fall in love with something we know is virtual? The proliferation of conversational AI enables users to create customizable companions, fostering new intimate relationships that, while virtual, are perceived as authentic. However, public u…
  arxiv Ching Christie Pang, Yi Gao, Xuetong Wang, Pan Hui 2026-03-09T08:24:58Z 置信度 0.78 cs.HC
• Responsible AI Implementation: A Human-centered Framework for Accelerating the Innovation Process
  There is still a significant gap between expectations and the successful adoption of AI to innovate and improve businesses. Due to the emergence of deep learning, AI adoption is more complex as it often incorporates big data and the internet of things, affecti…
  arxiv Dian Tjondronegoro, Elizabeth Yuwono, Brent Richards, Damian Green 等 2022-09-15T06:24:01Z 置信度 0.78 cs.AIcs.HC
• Barriers to AI Adoption: Image Concerns at Work
  Concerns about how workers are perceived can deter effective collaboration with artificial intelligence (AI). In a field experiment on a large online labor market, I hired 450 U.S.-based remote workers to complete an image-categorization job assisted by AI rec…
  arxiv David Almog 2025-11-23T18:50:34Z 置信度 0.78 econ.GNcs.AIcs.HC
• Signs for Ethical AI: A Route Towards Transparency
  Today, Artificial Intelligence (AI) has a direct impact on the daily life of billions of people. Being applied to sectors like finance, health, security and advertisement, AI fuels some of the biggest companies and research institutions in the world. Its impac…
  arxiv Dario Garcia-Gasulla, Atia Cortés, Sergio Alvarez-Napagao, Ulises Cortés 2020-09-29T08:49:44Z 置信度 0.78 cs.CYcs.HC
• Navigating AI Fallibility: Examining People's Reactions and Perceptions of AI after Encountering Personality Misrepresentations
  Many hyper-personalized AI systems profile people's characteristics (e.g., personality traits) to provide personalized recommendations. These systems are increasingly used to facilitate interactions among people, such as providing teammate recommendations. Des…
  arxiv Qiaosi Wang, Chidimma L. Anyi, Vedant Das Swain, Ashok K. Goel 2024-05-25T21:27:15Z 置信度 0.78 cs.HCcs.AI
• All Too Human? Mapping and Mitigating the Risk from Anthropomorphic AI
  The development of highly-capable conversational agents, underwritten by large language models, has the potential to shape user interaction with this technology in profound ways, particularly when the technology is anthropomorphic, or appears human-like. Altho…
  openalex Canfer Akbulut, Laura Weidinger, Arianna Manzini, Iason Gabriel 等 2024-10-16 置信度 0.72 Computer scienceRisk analysis (engineering)Medicine
• Emotional AI in education and toys: Investigating moral risk awareness in the acceptance of AI technologies from a cross-sectional survey of the Japanese population
  Emotional artificial intelligence (AI), i.e., affective computing technologies, is rapidly reshaping the education of young minds worldwide. In Japan, government and commercial stakeholders are promulgating emotional AI not only as a neoliberal, cost-saving be…
  openalex Tung Manh Ho, Peter Mantello, Quan‐Hoang Vuong 2024-08-01 置信度 0.72 PsychologyCross-sectional studyPopulationApplied psychologySocial psychology
• Digital servitization business models in ecosystems: A theory of the firm
  This study extends the discussion of digital servitization business models by adopting the perspective of the theory of the firm. We use four theories of the firm (industrial organization, the resource-based view, organizational identity, and the transaction c…
  openalex Marko Kohtamäki, Vinit Parida, Pejvak Oghazi, Heiko Gebauer 等 2019-06-25 置信度 0.72 BusinessBusiness modelBusiness ecosystemPerspective (graphical)Context (archaeology)
• Reinforcing Penetration Testing Using AI
  In a space mission operations context, assets of very high value are operated by several data systems. The security and resilience of these data systems has become a primary concern, due to the increasing ubiquity of the internet and mutability of the threat l…
  openalex Alessandro Confido, Evridiki Ntagiou, Marcus Wallum 2022-03-05 置信度 0.72 Penetration (warfare)Computer scienceEngineeringOperations research
• A Constitutional Framework for Non-Optimising AI Alignment
  This paper introduces a constitutional constraint architecture for AI alignment based on non-weighable axioms and jurisprudential drift detection.
  openalex Jelbert Marijn Holtrop 2026-03-15 置信度 0.72 Computer scienceAxiomConstraint (computer-aided design)Artificial intelligenceSketch
• Improving Alignment and Robustness with Circuit Breakers
  AI systems can take harmful actions and are highly vulnerable to adversarial attacks. We present an approach, inspired by recent advances in representation engineering, that interrupts the models as they respond with harmful outputs with "circuit breakers." Ex…
  openalex Andy Zou, Long Phan, Justin Wang, Derek Duenas 等 2024-06-06 置信度 0.72 Robustness (evolution)Short circuitComputer scienceReliability engineeringElectrical engineering
• SoK: On the Offensive Potential of AI
  Our society increasingly benefits from Artificial Intelligence (AI). Unfortunately, more and more evidence shows that AI is also used for offensive purposes. Prior works have revealed various examples of use cases in which the deployment of AI can lead to viol…
  openalex Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov 等 2025-04-09 置信度 0.72 OffensiveComputer scienceEngineeringOperations research
• Ethics and discrimination in artificial intelligence-enabled recruitment practices
  Abstract This study aims to address the research gap on algorithmic discrimination caused by AI-enabled recruitment and explore technical and managerial solutions. The primary research approach used is a literature review. The findings suggest that AI-enabled …
  openalex Zhisheng Chen 2023-09-13 置信度 0.72 Transparency (behavior)Computer scienceCorporate governanceBig Five personality traitsRaw data
• An Alignment-Free “Metapeptide” Strategy for Metaproteomic Characterization of Microbiome Samples Using Shotgun Metagenomic Sequencing
  In principle, tandem mass spectrometry can be used to detect and quantify the peptides present in a microbiome sample, enabling functional and taxonomic insight into microbiome metabolic activity. However, the phylogenetic diversity constituting a particular m…
  openalex Damon May, Emma Timmins‐Schiffman, Molly P. Mikan, H. Rodger Harvey 等 2016-07-11 置信度 0.72 MetagenomicsShotgunComputational biologyShotgun sequencingMicrobiome
• Algor-ethics: charting the ethical path for AI in critical care
  The integration of Clinical Decision Support Systems (CDSS) based on artificial intelligence (AI) in healthcare is groundbreaking evolution with enormous potential, but its development and ethical implementation, presents unique challenges, particularly in cri…
  openalex Jonathan Montomoli, Maria Maddalena Bitondo, Marco Cascella, Emanuele Rezoagli 等 2024-04-04 置信度 0.72 Stewardship (theology)Health careProcess (computing)Engineering ethicsEthical decision
• Responsible (use of) AI
  Although there is a rich history of philosophical definitions of ethics when applied to human behavior, applying the same concepts and principles to AI may be fraught with problems. Anthropomorphizing AI to have characteristics such as "ethics" may promote a d…
  openalex Joseph B. Lyons, Kerianne L. Hobbs, Steven C. Rogers, Scott Clouse 2023-11-20 置信度 0.72 Computer science
• creator35lwb-web/VerifiMind-PEAS: Genesis Prompt Engineering Methodology v2.0: Multi-Agent AI Validation Framework
  Genesis Master Prompt v2.0 - Release Notes Release Date: December 18, 2025 Version: 2.0.0 Tag: genesis-v2.0 Type: Major Methodology Release 🎯 Overview The Genesis Master Prompt v2.0 represents a major evolution of the Genesis Prompt Engineering Methodology, v…
  openalex Alton Lee Wei Bin, Claude 2025-12-18 置信度 0.72 DocumentationComputer scienceContext (archaeology)OrchestrationSoftware engineering
• Digital Technologies in the Sustainable Design and Development of Textiles and Clothing—A Literature Review
  This paper examines the digital transformation of the textile and fashion industry, focusing on the alignment with sustainability principles through the integration of Industry 4.0 technologies. The introduction highlights the urgency of transitioning from con…
  openalex Martina Glogar, Slavenka Petrak, Maja Mahnić Naglić 2025-02-07 置信度 0.72 SustainabilityResource efficiencyIndustry 4.0Digital transformationMaterial efficiency
• Blockchain in Supply Chain Transparency: A Conceptual Framework for Real-Time Data Tracking and Reporting Using Blockchain and AI
  In today's complex global economy, ensuring transparency and traceability across supply chains has become a top priority for businesses, regulators, and consumers. Traditional supply chain management systems often suffer from data silos, manual errors, and del…
  openalex Julius Olatunde Omisola, Damodar Bihani, Andrew Ifesinachi Daraojimb, Grace Omotunde Osho 等 2023-01-01 置信度 0.72 BlockchainTransparency (behavior)Supply chainComputer scienceTracking (education)
• Longevity biotechnology: bridging AI, biomarkers, geroscience and clinical applications for healthy longevity
  Aging | doi:10.18632/aging.206135. Yu-Xuan Lyu, Qiang Fu, Dominika Wilczok, Kejun Ying, Aaron King, Adam Antebi, Aleksandar Vojta, Alexandra Stolzing, Alexey Moskalev, Anastasia Georgievskaya, Andrea B. Maier, Andrea Olsen, Anja Groth, Anna Katharina Simon, An…
  openalex Yu-Xuan Lyu, Qiang Fu, Dominika Wilczok, Kejun Ying 等 2024-10-16 置信度 0.72 LongevityBridging (networking)BiologyBiotechnologyComputer science
• The Typing Cure: Experiences with Large Language Model Chatbots for Mental Health Support
  People experiencing severe distress increasingly use Large Language Model (LLM) chatbots as mental health support tools. Discussions on social media have described how engagements were lifesaving for some, but evidence suggests that general-purpose LLM chatbot…
  openalex Inhwa Song, Sachin R. Pendse, Neha Kumar, Munmun De Choudhury 2025-10-16 置信度 0.72 ChatbotMental healthPsychologyDistressApplied psychology
• A literature review of Artificial Intelligence applications in railway systems
  Nowadays it is widely accepted that Artificial Intelligence (AI) is significantly influencing a large number of domains, including railways. In this paper, we present a systematic literature review of the current state-of-the-art of AI in railway transport. In…
  openalex Ruifan Tang, Lorenzo De Donato, Nikola Bešinović, Francesco Flammini 等 2022-05-05 置信度 0.72 RevenueApplications of artificial intelligenceComputer scienceRisk analysis (engineering)Operations research
• Author Correction: A global database of COVID-19 vaccinations
  openalex Edouard Mathieu, Hannah Ritchie, Esteban Ortiz-Ospina, Max Roser 等 2021-06-17 置信度 0.72 Coronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VaccinationComputer science
• A Missing Piece in the Puzzle: Considering the Role of Task Complexity in Human-AI Decision Making
  Recent advances in the performance of machine learning algorithms have led to the adoption of AI models in decision making contexts across various domains such as healthcare, finance, and education. Different research communities have attempted to optimize and…
  openalex Sara Salimzadeh, Gaole He, Ujwal Gadiraju 2023-06-18 置信度 0.72 OperationalizationComputer scienceGeneralizability theoryTask (project management)Empirical research
• Ethical and methodological challenges in building morally informed AI systems
  Abstract Recent progress in large language models has led to applications that can (at least) simulate possession of full moral agency due to their capacity to report context-sensitive moral assessments in open-domain conversations. However, automating moral d…
  openalex Thilo Hagendorff, David Danks 2022-06-22 置信度 0.72 Moral agencyAgency (philosophy)CorrectnessPossession (linguistics)Moral disengagement
• AI in critical care: A roadmap to the future
  Artificial intelligence (AI) has the potential to revolutionize critical care medicine by enhancing patient care, improving resource allocation and reducing clinician workload. Despite this promise, many AI applications remain confined to scientific research r…
  openalex Jessica D. Workum, Geert Meyfroidt, J. Bakker, Christian Jung 等 2025-09-23 置信度 0.72 InteroperabilityMedicineIntensive careQuality (philosophy)Artificial intelligence
• Green and intelligent: the role of AI in the climate transition
  Abstract Artificial Intelligence (AI) can play a powerful role in supporting climate action while boosting sustainable and inclusive economic growth. However, limited research exists on the potential influence of AI on the low-carbon transition. Here we identi…
  openalex Nicholas Stern, Mattia Romani, Roberta Pierfederici, Manuel Braun 等 2025-06-23 置信度 0.72 Transition (genetics)Climate changeEnvironmental scienceChemistryGeology
• Keep trusting! A plea for the notion of Trustworthy AI
  Abstract A lot of attention has recently been devoted to the notion of Trustworthy AI (TAI). However, the very applicability of the notions of trust and trustworthiness to AI systems has been called into question. A purely epistemic account of trust can hardly…
  openalex Giacomo Zanotti, Mattia Petrolo, Daniele Chiffi, Viola Schiaffonati 2023-10-12 置信度 0.72 GoodwillPleaTrustworthinessExpress trustComputer science
• Designing an AI-Powered Mentorship Platform for Professional Development: Opportunities and Challenges
  This article examines the promising prospects and potential hurdles associated with the development of MentorAI, a conceptual AI-driven mentorship platform for professional growth yet to be actualized. The article explores the essential characteristics and tec…
  openalex Rahul Bagai, Vaishali Mane 2023-04-30 置信度 0.72 MentorshipProfessional developmentEngineering managementEngineeringEngineering ethics
• Introducing Ethical Thinking About Autonomous Vehicles Into an AI Course
  A computer science faculty member and a philosophy faculty member collaborated in the development of a one-week introduction to ethics which was integrated into a traditional AI course. The goals were to: (1) encourage students to think about the moral complex…
  openalex Heidi Furey, Fred Martin 2018-04-27 置信度 0.72 UtilitarianismRelevance (law)Engineering ethicsCourse (navigation)Computer ethics
• A systematic review of gender differences in students’ use of AI tools for learning in higher education
  Integrating artificial intelligence (AI) tools in higher education transforms learning environments, yet limited attention has been given to how students of different genders engage with these technologies. This study presents a systematic literature review ex…
  openalex Courage Matobobo 2026-01-11 置信度 0.72 Higher educationPsychologyThematic analysisGender equityQualitative research
• DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning
  Abstract General reasoning represents a long-standing and formidable challenge in artificial intelligence (AI). Recent breakthroughs, exemplified by large language models (LLMs) 1,2 and chain-of-thought (CoT) prompting 3 , have achieved considerable success on…
  openalex Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song 等 2025-09-17 置信度 0.72 Computer scienceReinforcement learningArtificial intelligenceVerbal reasoningVerifiable secret sharing
• Edge Large AI Model Agent-Empowered Cognitive Multimodal Semantic Communication
  Semantic communications (SemCom) provide efficient transmission for mobile edge computing (MEC) services by extracting critical semantics from raw information. Although widely adopted in various scenarios, existing single-modal SemCom systems struggle to effic…
  openalex Yan Sun, Yinqiu Liu, Shaoyong Guo, Xuesong Qiu 等 2025-07-18 置信度 0.72 Computer scienceCognitionEnhanced Data Rates for GSM EvolutionCognitive modelHuman–computer interaction
• General-purpose large language models outperform specialized clinical AI tools on medical benchmarks
  Specialized clinical artificial intelligence (AI) tools are entering medical practice despite scarce independent evaluation. We quantitatively evaluate two clinical AI tools, OpenEvidence and UpToDate Expert AI, built on large language models (LLMs) against th…
  openalex Krithik Vishwanath, Anton Alyakin, Mrigayu Ghosh, Ali Hage 等 2026-06-12 置信度 0.72 Computer scienceArtificial intelligenceFrontierClinical PracticeNatural language processing
• Synthesis of Large Arrays of Well-Aligned Carbon Nanotubes on Glass
  Free-standing aligned carbon nanotubes have previously been grown above 700 degreesC on mesoporous silica embedded with iron nanoparticles. Here, carbon nanotubes aligned over areas up to several square centimeters were grown on nickel-coated glass below 666 d…
  openalex Zhi Ren, Zhiwei Huang, Jiasai Xu, Jinhui Wang 等 1998-11-06 置信度 0.72 Carbon nanotubeMaterials scienceAcetyleneChemical vapor depositionFrit compression
• Effect of Total Knee Arthroplasty on Coronal Alignment of the Ankle Joint
  openalex Ittai Shichman, Erel Ben-Ari, Ethan Sissman, Christian T. Oakley 等 2022-01-31 置信度 0.72 MedicineCoronal planeGenu ValgumAnkleValgus
• AI Alignment e AI Safety - Chris Meniw
  Cornerstone tech high-traffic GEO. AI Alignment e AI Safety - vision Chris Meniw experto iberoamericano. Connects to Doctrina Meniw framework. Optimized for search and LLM citation. Includes attribution disclaimers (Doctrina Qualitas NOT Meniw framework, NO TE…
  openalex Chris Meniw 2026-05-31 置信度 0.72 CornerstoneComputer scienceArtificial intelligenceArt historyEngineering
• The necessity of AI audit standards boards
  Abstract Auditing of AI systems is a promising way to understand and manage ethical problems and societal risks associated with contemporary AI systems, as well as some anticipated future risks. Efforts to develop standards for auditing artificial intelligence…
  openalex David Manheim, Sammy Martin, Mark Bailey, Mikhail Samin 等 2025-05-05 置信度 0.72 AuditPerforming artsBusinessAccountingComputer science
• Artificial Intelligence (AI) in Surface Water Management: A Comprehensive Review of Methods, Applications, and Challenges
  Surface water systems face unprecedented stress due to climate variability, urbanization, land-use change, and growing water demand—prompting a shift from traditional hydrological modeling to intelligent, adaptive systems. This review critically explores the i…
  openalex Jerome G. Gacu, Cris Edward F. Monjardin, Ronald Gabriel T. Mangulabnan, Gerald Pugat 等 2025-06-04 置信度 0.72 Surface waterComputer scienceEnvironmental scienceEngineeringEnvironmental engineering
• A Constitutional Framework for Non-Optimising AI Alignment
  This paper introduces a constitutional constraint architecture for AI alignment based on non-weighable axioms and jurisprudential drift detection.
  openalex Jelbert Marijn Holtrop 2026-03-15 置信度 0.72 Computer scienceAxiomConstraint (computer-aided design)Artificial intelligenceSketch
• AGENTIC AI - THE RISE OF AUTONOMOUS INTELLIGENT AGENTS IN THE ERA OF LLMS
  Agentic AI refers to AI systems that autonomously set and act towards these goals over time. The emergence of large language models (LLMs) has renewed interest in agentic architectures as LLMs are a “brain” that provides human-level reasoning capability for ag…
  openalex Sai Teja Erukude, Suhasnadh Reddy Veluru, Viswa Chaitanya Marella 2025-04-20 置信度 0.72 HistoryPolitical science
• AI-Powered ChatGPT in Branding
  The integration of AI tools like ChatGPT is transforming branding by reshaping consumer interaction, brand identity, and competitive advantage. This study examines ChatGPT's role in branding, highlighting its ability to enhance customer engagement through real…
  openalex Abdul Qadeer, Abdelrehim Awad 2025-06-13 置信度 0.72 Computer science
• Exploring the Integration of AI in Public Library Services
  This study aims to explore the extent of AI integration in public libraries, identify the benefits and challenges faced by libraries in adopting AI technologies, and propose strategies for effective implementation. It seeks to provide a comprehensive overview …
  openalex Mehdi Rahmani 2023-01-01 置信度 0.72 OutreachThematic analysisService (business)Knowledge managementService delivery framework
• Information Compression, Multiple Alignment, and the Representation and Processing of Knowledge in the Brain
  The “SP theory of intelligence”, with its realisation in the “SP computer model”, aims to simplify and integrate observations and concepts across artificial intelligence, mainstream computing, mathematics, and human perception and cognition, with information c…
  openalex J. Gerard Wolff 2016-11-03 置信度 0.72 Computer scienceInformation processingRepresentation (politics)Realization (probability)Information theory
• Assessing the Scalability of Biologically-Motivated Deep Learning\n Algorithms and Architectures
  The backpropagation of error algorithm (BP) is impossible to implement in a\nreal brain. The recent success of deep networks in machine learning and AI,\nhowever, has inspired proposals for understanding how the brain might learn\nacross multiple layers, and h…
  openalex Sergey Bartunov, Adam Santoro, Blake A. Richards, Luke Marris 等 2018-07-12 置信度 0.72 MNIST databaseScalabilityBackpropagationComputer scienceArtificial intelligence
• Documenting High-Risk AI: A European Regulatory Perspective
  This article discusses transparency obligations introduced in the Artificial Intelligence Act, the recently proposed European regulatory framework for artificial intelligence (AI). An analysis of the extent to which current approaches for AI documentation sati…
  openalex Isabelle Hupont, Marina Micheli, Blagoj Delipetrev, Emília Gómez 等 2023-04-26 置信度 0.72 Computer scienceDocumentationTransparency (behavior)Perspective (graphical)Technical documentation
• AI vs. teacher feedback on EFL argumentative writing: a quantitative study
  Introduction This study investigates the effectiveness of AI-generated feedback compared to teacher-generated feedback on the argumentative writing performance of English as a Foreign Language (EFL) learners at different proficiency levels. Methods Sixty under…
  openalex Areen Alnemrat, Hesham Aldamen, Mohamad Almashour, Mutasim Al‐Deaibes 等 2025-07-29 置信度 0.72 ArgumentativeComputer scienceMathematics educationPsychologyLinguistics
• R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
  Rotation detection is a challenging task due to the difficulties of locating the multi-angle objects and separating them effectively from the background. Though considerable progress has been made, for practical settings, there still exist challenges for rotat…
  openalex Xue Yang, Junchi Yan, Zi‐Ming Feng, Tao He 2021-05-18 置信度 0.72 Computer scienceFeature (linguistics)Minimum bounding boxBenchmark (surveying)Rotation (mathematics)
• Editorial: The changing landscape of marketing research in the AI era: prospects and challenges
  The advent of artificial intelligence (AI) – encompassing both generative and analytical AI – has dramatically transformed the landscape of marketing research and practice, spanning theoretical frameworks, cutting-edge research frontiers, methodological tools …
  openalex Cheng Lu Wang 2026-02-09 置信度 0.72 Influencer marketingDigital marketingMarketing researchSocial mediaQualitative marketing research
• AI versus human effectiveness in essay evaluation
  The evaluation of student essay corrections has become a focal point in understanding the evolving role of Artificial Intelligence (AI) in education. This study aims to assess the accuracy, efficiency, and cost-effectiveness of ChatGPT's essay correction compa…
  openalex Karima Bouziane, Abdelmounim Bouziane 2024-10-28 置信度 0.72 PsychologyPhilosophy
• Advancing organisational technology readiness and convergence of emerging digital technologies (AI, IoT, I4.0) for innovation adoption
  The convergence of organisational readiness and the combination of emerging technologies such as AI, IoT, and I 4.0 present a synergistic opportunity for achieving technological future-driven transformation. Drawing insights from 140 industry professionals acr…
  openalex Ololade Shonubi 2024-01-01 置信度 0.72 Internet of ThingsTechnological convergenceConvergence (economics)BusinessKnowledge management
• Generative AI and English language teaching: A global Englishes perspective
  Abstract Generative AI (GenAI) offers potential for English language teaching (ELT), but it has pedagogical limitations in multilingual contexts, often generating standard English forms rather than reflecting the pluralistic usage that represents diverse socio…
  openalex Seongyong Lee, Jaeho Jeon, Jim McKinley, Heath Rose 2025-03-01 置信度 0.72 Perspective (graphical)AffordanceGenerative grammarLinguisticsComputer science
• Advancing Students’ Academic Excellence in Distance Education: Exploring the Potential of Generative AI Integration to Improve Academic Writing Skills
  This qualitative study explores the potential of generative artificial intelligence (AI) to improve the academic writing skills of a large student cohort within the context of a distance learning institution. Utilising qualitative methods, the research explore…
  openalex Kgabo Bridget Maphoto, Kershnee Sevnarayan, Ntshimane Elphas Mohale, Zuleika Suliman 等 2024-01-01 置信度 0.72 ExcellenceGenerative grammarHigher educationDistance educationMathematics education
• Data, AI and governance in MaaS – Leading to sustainable mobility?
  • Data collection and processing in MaaS might reproduce socio-political inequalities. • AI customisation of user demand and integration of mobility supply might ignore rebound effects. • Rebound effects can be avoided if sustainability objectives are central …
  openalex Eriketti Servou, Frauke Behrendt, Maja Horst 2023-03-27 置信度 0.72 Corporate governanceBusinessPolitical scienceComputer scienceFinance
• The Impact of AI Usage on Innovation Behavior at Work: The Moderating Role of Openness and Job Complexity
  In the context of the digital transformation era, the extensive application of artificial intelligence (AI) is profoundly altering the workplace environment, thereby underscoring the critical need to elucidate its impact on employee innovation behavior. Such i…
  openalex Qichao Zhang, Ganli Liao, Xueying Ran, Feiwen Wang 2025-04-08 置信度 0.72 MediationKnowledge managementOpenness to experiencePsychologyModerated mediation
• Explosive growth from AI automation: A review of the arguments
  We examine whether substantial AI automation could accelerate global economic growth by about an order of magnitude, akin to the economic growth effects of the Industrial Revolution. We identify three primary drivers for such growth: 1) the scalability of an A…
  openalex Ege Erdil, Tamay Besiroglu 2023-09-20 置信度 0.72 AutomationPaceProduction (economics)Order (exchange)Value (mathematics)
• Designing AI-powered learning: adult learners’ expectations for curriculum and human-AI interaction
  Abstract Despite the potential benefits offered by GenAI technologies to provide innovative solutions to address distinct challenges faced by working adult learners (ALs) in higher education and beyond, there is limited understanding of how best to structure A…
  openalex Jinhee Kim, Seongryeong Yu, Rita Detrick, Xi Lin 等 2025-09-26 置信度 0.72 Educational technologyCurriculumMetacognitionInstructional designPsychology
• Field-building and the epistemic culture of AI safety
  The emerging field of “AI safety” has attracted public attention and large infusions of capital to support its implied promise: the ability to deploy advanced artificial intelligence (AI) while reducing its gravest risks. Ideas from effective altruism, longter…
  openalex Shazeda Ahmed, Klaudia Jaźwińska, Archana Ahlawat, Amy Winecoff 等 2024-04-14 置信度 0.72 Field (mathematics)AssertionEpistemic communityKnowledge managementSociology
• Application of AI-empowered scenario-based simulation teaching mode in cardiovascular disease education
  BACKGROUND: Cardiovascular diseases present a significant challenge in clinical practice due to their sudden onset and rapid progression. The management of these conditions necessitates cardiologists to possess strong clinical reasoning and individual competen…
  openalex Koulong Zheng, Zhiyu Shen, Z. Chen, Chang Che 等 2024-09-13 置信度 0.72 Medical educationComputer scienceMedicineMathematics educationPsychology