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• Phase shift induces currents in a periodic tube
  The average current of an overdamped Brownian particle moving along the axis of a three-dimensional periodic tube is investigated in the presence of a symmetric potential and a temporally symmetric unbiased external force. Reduction of the spatial dimensionali…
  arxiv Bao-quan Ai, Liang-gang Liu 2010-12-14T02:39:27Z 置信度 0.78 cond-mat.stat-mech
• Ethics of AI: A Systematic Literature Review of Principles and Challenges
  Ethics in AI becomes a global topic of interest for both policymakers and academic researchers. In the last few years, various research organizations, lawyers, think tankers and regulatory bodies get involved in developing AI ethics guidelines and principles. …
  arxiv Arif Ali Khan, Sher Badshah, Peng Liang, Bilal Khan 等 2021-09-12T15:33:43Z 置信度 0.78 cs.CYcs.AI
• AI Emergency Preparedness: Examining the federal government's ability to detect and respond to AI-related national security threats
  We examine how the federal government can enhance its AI emergency preparedness: the ability to detect and prepare for time-sensitive national security threats relating to AI. Emergency preparedness can improve the government's ability to monitor and predict A…
  arxiv Akash Wasil, Everett Smith, Corin Katzke, Justin Bullock 2024-07-03T17:54:01Z 置信度 0.78 cs.CY
• Human-to-AI Coach: Improving Human Inputs to AI Systems
  Humans increasingly interact with Artificial intelligence(AI) systems. AI systems are optimized for objectives such as minimum computation or minimum error rate in recognizing and interpreting inputs from humans. In contrast, inputs created by humans are often…
  arxiv Johannes Schneider 2019-12-08T10:43:43Z 置信度 0.78 cs.LGstat.ML
• Harvard Undergraduate Survey on Generative AI
  How has generative AI impacted the experiences of college students? We study the influence of AI on the study habits, class choices, and career prospects of Harvard undergraduates (n=326), finding that almost 90% of students use generative AI. For roughly 25% …
  arxiv Shikoh Hirabayashi, Rishab Jain, Nikola Jurković, Gabriel Wu 2024-06-02T18:47:08Z 置信度 0.78 cs.CYcs.AI
• Transdisciplinary AI Observatory -- Retrospective Analyses and Future-Oriented Contradistinctions
  In the last years, AI safety gained international recognition in the light of heterogeneous safety-critical and ethical issues that risk overshadowing the broad beneficial impacts of AI. In this context, the implementation of AI observatory endeavors represent…
  arxiv Nadisha-Marie Aliman, Leon Kester, Roman Yampolskiy 2020-11-26T16:01:49Z 置信度 0.78 cs.CYcs.AI
• Open Problems in Technical AI Governance
  AI progress is creating a growing range of risks and opportunities, but it is often unclear how they should be navigated. In many cases, the barriers and uncertainties faced are at least partly technical. Technical AI governance, referring to technical analysi…
  arxiv Anka Reuel, Ben Bucknall, Stephen Casper, Tim Fist 等 2024-07-20T21:13:56Z 置信度 0.78 cs.CY
• Human-AI Co-Learning for Data-Driven AI
  Human and AI are increasingly interacting and collaborating to accomplish various complex tasks in the context of diverse application domains (e.g., healthcare, transportation, and creative design). Two dynamic, learning entities (AI and human) have distinct m…
  arxiv Yi-Ching Huang, Yu-Ting Cheng, Lin-Lin Chen, Jane Yung-jen Hsu 2019-10-28T10:40:15Z 置信度 0.78 cs.HCcs.AI
• Particip-AI: A Democratic Surveying Framework for Anticipating Future AI Use Cases, Harms and Benefits
  General purpose AI, such as ChatGPT, seems to have lowered the barriers for the public to use AI and harness its power. However, the governance and development of AI still remain in the hands of a few, and the pace of development is accelerating without a comp…
  arxiv Jimin Mun, Liwei Jiang, Jenny Liang, Inyoung Cheong 等 2024-03-21T19:12:37Z 置信度 0.78 cs.CYcs.AI
• Introducing Human-Centeredness in AI-Assisted Lexicography
  This paper proposes a human-centered artificial intelligence (HCAI) framework for AI-assisted lexicography. While generative AI offers significant opportunities to enhance lexicographic work, it also raises concerns regarding the future role of lexicographers …
  arxiv Antonio San Martin, Catherine Trekker 2026-07-13T17:00:39Z 置信度 0.78 cs.CLcs.AI
• Mean-Field Dynamics of Chain-of-Thought Reasoning in Large Language Models
  Large language models (LLMs) with chain-of-thought reasoning have been widely applied in recent years, and theoretical explanations of their behavior may help deepen our understanding and guide model optimization. In this study, we introduce a framework that s…
  arxiv Hao Ai 2026-05-20T17:38:50Z 置信度 0.78 cs.CLcs.AI
• ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning
  As AI capabilities advance toward and potentially beyond human-level performance, a natural transition emerges where AI-driven development becomes more efficient than human-centric approaches. A promising pathway toward this transition lies in AI-for-AI (AI4AI…
  arxiv Zexi Liu, Yuzhu Cai, Xinyu Zhu, Yujie Zheng 等 2025-06-19T17:53:28Z 置信度 0.78 cs.AIcs.LG
• Whispers of Many Shores: Cultural Alignment through Collaborative Cultural Expertise
  The integration of large language models (LLMs) into global applications necessitates effective cultural alignment for meaningful and culturally-sensitive interactions. Current LLMs often lack the nuanced understanding required for diverse cultural contexts, a…
  arxiv Shuai Feng, Wei-Chuang Chan, Srishti Chouhan, Junior Francisco Garcia Ayala 等 2025-05-30T21:16:25Z 置信度 0.78 cs.AIcs.CL
• Hungary and AI: efforts and opportunities in comparison with Singapore
  The study assesses Hungary's National AI Strategy and its implementation through the analysis of strategic documents, publicly available financial records, and expert interviews with the Hungarian AI Coalition President and Chief Strategic Advisor to the Gover…
  arxiv András Ferenczy 2025-07-04T09:12:47Z 置信度 0.78 cs.CYcs.AI
• Co-Designing Collaborative Generative AI Tools for Freelancers
  Most generative AI tools prioritize individual productivity and personalization, with limited support for collaboration. Designed for traditional workplaces, these tools do not fit freelancers' short-term teams or lack of shared institutional support, which ca…
  arxiv Kashif Imteyaz, Michael Muller, Claudia Flores-Saviaga, Saiph Savage 2026-02-05T04:47:58Z 置信度 0.78 cs.HC
• The Essentials of AI for Life and Society: A Full-Scale AI Literacy Course Accessible to All
  In Fall 2023, we introduced a new AI Literacy class called The Essentials of AI for Life and Society (CS 109), a one-credit, seminar course consisting mainly of guest lectures, which was open to the entire university, including students, staff, and faculty. Bu…
  arxiv Zifan Xu, Kristen Procko, Michael Munje, Kristin Patterson 等 2025-11-30T21:33:44Z 置信度 0.78 cs.CY
• AI agents for facilitating social interactions and wellbeing
  Wellbeing AI has been becoming a new trend in individuals' mental health, organizational health, and flourishing our societies. Various applications of wellbeing AI have been introduced to our daily lives. While social relationships within groups are a critica…
  arxiv Hiro Taiyo Hamada, Ryota Kanai 2022-02-26T04:05:23Z 置信度 0.78 cs.CYcs.AIcs.CLcs.HCcs.LG
• Security Risks Concerns of Generative AI in the IoT
  In an era where the Internet of Things (IoT) intersects increasingly with generative Artificial Intelligence (AI), this article scrutinizes the emergent security risks inherent in this integration. We explore how generative AI drives innovation in IoT and we a…
  arxiv Honghui Xu, Yingshu Li, Olusesi Balogun, Shaoen Wu 等 2024-03-29T20:28:30Z 置信度 0.78 cs.CRcs.AI
• Human-AI Interaction Design Standards
  The rapid development of artificial intelligence (AI) has significantly transformed human-computer interactions, making it essential to establish robust design standards to ensure effective, ethical, and human-centered AI (HCAI) solutions. Standards serve as t…
  arxiv Chaoyi Zhao, Wei Xu 2025-03-02T18:50:54Z 置信度 0.78 cs.HCcs.AI
• A Critical Evaluation of AI Feedback for Aligning Large Language Models
  Reinforcement learning with AI feedback (RLAIF) is a popular paradigm for improving the instruction-following abilities of powerful pre-trained language models. RLAIF first performs supervised fine-tuning (SFT) using demonstrations from a teacher model and the…
  arxiv Archit Sharma, Sedrick Keh, Eric Mitchell, Chelsea Finn 等 2024-02-19T18:53:54Z 置信度 0.78 cs.LGcs.AIcs.CL
• Beyond Connectivity: An Open Architecture for AI-RAN Convergence in 6G
  Data-intensive Artificial Intelligence (AI) applications at the network edge demand a fundamental shift in Radio Access Network (RAN) design, from merely consuming AI for network optimization, to actively enabling distributed AI workloads. This presents a sign…
  arxiv Michele Polese, Niloofar Mohamadi, Salvatore D'Oro, Leonardo Bonati 等 2025-07-09T14:49:11Z 置信度 0.78 cs.NIcs.AIeess.SP
• Pyramid Feature Alignment Network for Video Deblurring
  Video deblurring remains a challenging task due to various causes of blurring. Traditional methods have considered how to utilize neighboring frames by the single-scale alignment for restoration. However, they typically suffer from misalignment caused by sever…
  arxiv Leitian Tao, Zhenzhong Chen 2022-03-28T07:54:21Z 置信度 0.78 cs.CV
• Toward the Autonomous AI Doctor: Quantitative Benchmarking of an Autonomous Agentic AI Versus Board-Certified Clinicians in a Real World Setting
  Background: Globally we face a projected shortage of 11 million healthcare practitioners by 2030, and administrative burden consumes 50% of clinical time. Artificial intelligence (AI) has the potential to help alleviate these problems. However, no end-to-end a…
  arxiv Hashim Hayat, Maksim Kudrautsau, Evgeniy Makarov, Vlad Melnichenko 等 2025-06-27T19:04:44Z 置信度 0.78 cs.HCcs.AIcs.CLcs.MA
• The AI Memory Gap: Users Misremember What They Created With AI or Without
  As large language models (LLMs) become embedded in interactive text generation, disclosure of AI as a source depends on people remembering which ideas or texts came from themselves and which were created with AI. We investigate how accurately people remember t…
  arxiv Tim Zindulka, Sven Goller, Daniela Fernandes, Robin Welsch 等 2025-09-15T12:31:00Z 置信度 0.78 cs.HCcs.CL
• An alignment problem
  This work concerns an alignment problem that has applications in many geospatial problems such as resource allocation and building reliable disease maps. Here, we introduce the problem of optimally aligning $k$ collections of $m$ spatial supports over $n$ spat…
  arxiv Emma L. McDaniel, Armin R. Mikler, Chetan Tiwari, Murray Patterson 2024-11-13T17:17:52Z 置信度 0.78 cs.DScs.CC
• Understanding Layer Significance in LLM Alignment
  Aligning large language models (LLMs) through supervised fine-tuning is essential for tailoring them to specific applications. Recent studies suggest that alignment primarily adjusts a model's presentation style rather than its foundational knowledge, indicati…
  arxiv Guangyuan Shi, Zexin Lu, Xiaoyu Dong, Wenlong Zhang 等 2024-10-23T13:47:05Z 置信度 0.78 cs.CLcs.AI
• Dynamical criterion for biased domain-wall formation
  In the presence of a bias term, the conventional condition for forming a domain-wall network is $p_{\rm fv}>p_c\simeq 0.31$, with $p_{\rm fv}/(1-p_{\rm fv})=\exp(-ΔV(0)/V_b(0))$, where $p_{\rm fv}$ is the false-vacuum fraction immediately after the phase tr…
  arxiv Wen-Yuan Ai 2026-06-29T10:30:20Z 置信度 0.78 hep-phastro-ph.CO
• Global Index on Responsible AI: 2026 Report
  Grounded in human rights-based frameworks such as the UNESCO Recommendation on the Ethics of AI, the Global Index on Responsible AI (GIRAI) examines how countries translate responsible AI commitments into enforceable protections, institutional capacity, and re…
  arxiv Rachel Adams, Fola Adeleke, Ayantola Alayande, Selamawit Engida Abdella 等 2026-07-16T10:00:56Z 置信度 0.78 cs.AI
• AI Contagion in Social Networks
  We study how artificial intelligence (AI) interacts with social communication networks to shape the stability of collective knowledge. Agents exchange information through a network while AI systems generate content and retrain on the aggregate informational en…
  arxiv Olivier Bos, Stefano Bosi 2026-06-13T09:02:22Z 置信度 0.78 econ.THcs.AIcs.CYcs.SI
• Ethics2vec: aligning automatic agents and human preferences
  Though intelligent agents are supposed to improve human experience (or make it more efficient), it is hard from a human perspective to grasp the ethical values which are explicitly or implicitly embedded in an agent behaviour. This is the well-known problem of…
  arxiv Gianluca Bontempi 2025-08-11T06:52:46Z 置信度 0.78 cs.AIcs.LG
• AI Autonomy Coefficient ($α$): Defining Boundaries for Responsible AI Systems
  The integrity of many contemporary AI systems is compromised by the misuse of Human-in-the-Loop (HITL) models to obscure systems that remain heavily dependent on human labor. We define this structural dependency as Human-Instead-of-AI (HISOAI), an ethically pr…
  arxiv Nattaya Mairittha, Gabriel Phorncharoenmusikul, Sorawit Worapradidth 2025-12-12T05:41:20Z 置信度 0.78 cs.HCcs.AI
• Cisco Integrated AI Security and Safety Framework Report
  Artificial intelligence (AI) systems are being readily and rapidly adopted, increasingly permeating critical domains: from consumer platforms and enterprise software to networked systems with embedded agents. While this has unlocked potential for human product…
  arxiv Amy Chang, Tiffany Saade, Sanket Mendapara, Adam Swanda 等 2025-12-15T02:12:12Z 置信度 0.78 cs.CRcs.AI
• Investigating the Role of Explainability and AI Literacy in User Compliance
  AI is becoming increasingly common across different domains. However, as sophisticated AI-based systems are often black-boxed, rendering the decision-making logic opaque, users find it challenging to comply with their recommendations. Although researchers are …
  arxiv Niklas Kühl, Christian Meske, Maximilian Nitsche, Jodie Lobana 2024-06-18T14:28:12Z 置信度 0.78 cs.AI
• The AI Genie Phenomenon and Three Types of AI Chatbot Addiction: Escapist Roleplays, Pseudosocial Companions, and Epistemic Rabbit Holes
  Recent reports on generative AI chatbot use raise concerns about its addictive potential. An in-depth understanding is imperative to minimize risks, yet AI chatbot addiction remains poorly understood. This study examines how to characterize AI chatbot addictio…
  arxiv M. Karen Shen, Jessica Huang, Olivia Liang, Ig-Jae Kim 等 2026-01-19T19:33:58Z 置信度 0.78 cs.HCcs.AI
• Scalable, Symbiotic, AI and Non-AI Agent Based Parallel Discrete Event Simulations
  To fully leverage the potential of artificial intelligence (AI) systems in a trustworthy manner, it is desirable to couple multiple AI and non-AI systems together seamlessly for constraining and ensuring correctness of the output. This paper introduces a novel…
  arxiv Atanu Barai, Stephan Eidenbenz, Nandakishore Santhi 2025-05-28T17:50:01Z 置信度 0.78 cs.CLcs.MA
• Neural Speech Phase Prediction based on Parallel Estimation Architecture and Anti-Wrapping Losses
  This paper presents a novel speech phase prediction model which predicts wrapped phase spectra directly from amplitude spectra by neural networks. The proposed model is a cascade of a residual convolutional network and a parallel estimation architecture. The p…
  arxiv Yang Ai, Zhen-Hua Ling 2022-11-29T07:16:24Z 置信度 0.78 cs.SDeess.AS
• Multi-Winner Elections: Justified Representation, Strategyproofness, and Risk-Avoiding Truthfulness
  We study approval-based multi-winner elections with justified representation (JR) when voters strategically report their ballots. We prove that there does not exist a strategy-proof mechanism that outputs JR committees, even when the mechanism can be randomize…
  arxiv Yizhou Ai, Biaoshuai Tao 2026-08-15T18:48:20Z 置信度 0.78 cs.GT
• The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems
  Agentic AI systems are increasingly capable of performing professional and personal tasks with limited human involvement. However, tracking these developments is difficult because the AI agent ecosystem is complex, rapidly evolving, and inconsistently document…
  arxiv Leon Staufer, Kevin Feng, Kevin Wei, Luke Bailey 等 2026-02-19T18:57:43Z 置信度 0.78 cs.CYcs.AI
• On Alignment in Deep Linear Neural Networks
  We study the properties of alignment, a form of implicit regularization, in linear neural networks under gradient descent. We define alignment for fully connected networks with multidimensional outputs and show that it is a natural extension of alignment in ne…
  arxiv Adityanarayanan Radhakrishnan, Eshaan Nichani, Daniel Bernstein, Caroline Uhler 2020-03-13T15:13:37Z 置信度 0.78 cs.LGstat.ML
• Agentic AI for Mobile Network RAN Management and Optimization
  Agentic AI represents a new paradigm for automating complex systems by using Large AI Models (LAMs) to provide human-level cognitive abilities with multimodal perception, planning, memory, and reasoning capabilities. This will lead to a new generation of AI sy…
  arxiv Jorge Pellejero, Luis A. Hernández Gómez, Luis Mendo Tomás, Zoraida Frias Barroso 2025-11-04T12:34:57Z 置信度 0.78 cs.AIcs.LG
• Alignment-Aware Decoding
  Alignment of large language models remains a central challenge in natural language processing. Preference optimization has emerged as a popular and effective method for improving alignment, typically through training-time or prompt-based interventions. In this…
  arxiv Frédéric Berdoz, Luca A. Lanzendörfer, René Caky, Roger Wattenhofer 2025-09-30T12:24:43Z 置信度 0.78 cs.LG
• Engine-fed Kilonovae (Mergernovae) -- II. Radiation
  The radioactive power generated by materials within the ejecta of a binary-neutron-star (BNS) merger powers an optical transient known as a kilonova. When the central remnant of a BNS merger is a long-lived magnetar, it continuously produces a highly magnetize…
  arxiv Shunke Ai, He Gao, Bing Zhang 2024-05-01T17:07:22Z 置信度 0.78 astro-ph.HE
• Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns
  Although artificial intelligence (AI) is solving real-world challenges and transforming industries, there are serious concerns about its ability to behave and make decisions in a responsible way. Many AI ethics principles and guidelines for responsible AI have…
  arxiv Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle 等 2021-11-18T02:18:27Z 置信度 0.78 cs.AIcs.SE
• Incidental Reverberations: Poetic Similarities in AI Art
  Contemporary AI art's diverse and widely recognized repertoire features numerous artworks that share conceptual, thematic, narrative, procedural, or presentational properties with other artworks across disciplinary and historical spectrums. AI artists occasion…
  arxiv Dejan Grba 2026-02-23T12:19:37Z 置信度 0.78 cs.CY
• Why AI Is WEIRD and Should Not Be This Way: Towards AI For Everyone, With Everyone, By Everyone
  This paper presents a vision for creating AI systems that are inclusive at every stage of development, from data collection to model design and evaluation. We address key limitations in the current AI pipeline and its WEIRD representation, such as lack of data…
  arxiv Rada Mihalcea, Oana Ignat, Longju Bai, Angana Borah 等 2024-10-09T10:44:26Z 置信度 0.78 cs.CY
• A university framework for the responsible use of generative AI in research
  AI poses both opportunities and risks for the integrity of research. Universities must guide researchers in using AI responsibly and in navigating a complex regulatory landscape subject to rapid change. Drawing on the consultative experiences of two Australian…
  openalex S.D. Smith, Melissa Tate, Keri Freeman, Anne Walsh 等 2025-05-23 置信度 0.72 Generative grammarSociologyEpistemologyPolitical scienceArtificial intelligence
• Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective
  Data-centric AI is at the center of a fundamental shift in software engineering where machine learning becomes the new software, powered by big data and computing infrastructure. Here software engineering needs to be re-thought where data becomes a first-class…
  openalex Steven Euijong Whang, Yuji Roh, Hwanjun Song, Jae-Gil Lee 2021-12-13 置信度 0.72 Computer scienceData scienceBig dataArtificial intelligenceData quality
• Work with AI and Work for AI: Autonomous Vehicle Safety Drivers’ Lived Experiences
  The development of Autonomous Vehicle (AV) has created a novel job, the safety driver, recruited from experienced drivers to supervise and operate AV in numerous driving missions. Safety drivers usually work with non-perfect AV in high-risk real-world traffic …
  openalex Mengdi Chu, Keyu Zong, Shu Xin, Jiangtao Gong 等 2023-04-19 置信度 0.72 GrassrootsWork (physics)PerceptionEngineeringTransport engineering
• Interpretable AI Objectives: Towards Verifiable Human-AI Alignment
  As artificial intelligence systems become increasingly autonomous and integrated into critical societal functions, ensuring their alignment with human values and intentions has emerged as a paramount challenge. This paper addresses the critical need for verifi…
  openalex Revista, Zen, IA, 10 2025-12-04 置信度 0.72 Verifiable secret sharingComputer scienceArtificial intelligenceUnintended consequencesHuman intelligence
• Artificial intelligence in orthopedic surgery
  Artificial intelligence (AI), first proposed by Prof. John McCarthy in 1956, aims to reproduce human intelligence using computers. Machine learning (ML) is a form of AI that uses computational algorithms that learn and improve with experience.[1] The two main …
  openalex Xiaoguang Han, Wei Tian 2019-10-28 置信度 0.72 Orthopedic surgeryMedicineGeneral surgerySurgery
• An empirical evaluation of functional alignment using inter-subject decoding
  Inter-individual variability in the functional organization of the brain presents a major obstacle to identifying generalizable neural coding principles. Functional alignment-a class of methods that matches subjects' neural signals based on their functional si…
  openalex Thomas Bazeille, Elizabeth DuPré, Hugo Richard, Jean‐Baptiste Poline 等 2021-10-26 置信度 0.72 PiecewiseComputer scienceBenchmark (surveying)Decoding methodsScalability
• Quantifying a firm's AI engagement: Constructing objective, data-driven, AI stock indices using 10-K filings
  This paper proposes an objective, data-driven approach using natural language processing (NLP) techniques to classify AI stocks by analyzing annual 10-K filings from 3395 NASDAQ-listed firms between 2010 and 2022. Each company's engagement with AI is classifie…
  openalex Lennart Ante, Aman Saggu 2025-01-02 置信度 0.72 Stock (firearms)BusinessEconometricsComputer scienceEconomics
• DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels
  Driven by generative AI and the Internet, there is an increasing availability of a wide variety of images, leading to the significant and popular task of cross-domain image retrieval. To reduce annotation costs and increase performance, this paper focuses on a…
  openalex Haoran Liu, Ying Ma, Ming Yan, Yingke Chen 等 2024-03-24 置信度 0.72 Domain (mathematical analysis)Computer scienceArtificial intelligenceCheckerboardPattern recognition (psychology)
• Recent Advances in Generative AI for Healthcare Applications
  openalex Yasin Shokrollahi, Jose Colmenarez, Wenxi Liu, Sahar Yarmohammadtoosky 等 2026-05-01 置信度 0.72 Generative grammarComputer scienceDocumentationHealth careArtificial intelligence
• Alignment algorithm for homology modeling and threading
  A DNA/protein sequence comparison is a popular computational tool for molecular biologists. Finding a good alignment implies an evolutionary and/or functional relationship between proteins or genomic loci. Sequential similarity between two proteins indicates t…
  openalex Nickolai Alexandrov, Roland Luethy 1998-02-01 置信度 0.72 Threading (protein sequence)Structural alignmentAlignment-free sequence analysisSequence alignmentHomology modeling
• Effectiveness of AI‐driven remote monitoring technology in improving oral hygiene during orthodontic treatment
  OBJECTIVE: This study aimed to evaluate the effectiveness of Dental Monitoring™ (DM™) Artificial Intelligence Driven Remote Monitoring Technology (AIDRM) technology in improving the patient's oral hygiene during orthodontic treatment through AI-based personali…
  openalex Vivian Snider, Karen Homsi, Budi Kusnoto, Phimon Atsawasuwan 等 2023-04-27 置信度 0.72 Oral hygieneHygieneMedicineDentistryPathology
• Leveraging AI for Enhanced Quality Assurance in Medical Device Manufacturing
  The medical device sector adheres to strict regulatory frameworks, requiring precise adherence to quality assurance (QA) processes during the production process. Conventional quality assurance (QA) approaches, although successful, sometimes require substantial…
  openalex Tushar Khinvasara, Stephanie Ness, Abhishek Shankar 2024-04-08 置信度 0.72 Quality assuranceMedical deviceQuality (philosophy)Manufacturing engineeringBusiness
• Chat Bankman-Fried: an Exploration of LLM Alignment in Finance
  Advancements in large language models (LLMs) have renewed concerns about AI alignment - the consistency between human and AI goals and values. As various jurisdictions enact legislation on AI safety, the concept of alignment must be defined and measured across…
  openalex Claudia Biancotti, Carolina Camassa, Andrea Coletta, Oliver Giudice 等 2024-11-01 置信度 0.72 BusinessFinance
• Human-AI Collaboration for Smart Education: Reframing Applied Learning to Support Metacognition
  This chapter investigates the profound influence of intelligent virtual assistants (IVAs) on the educational domain, specifically in the realm of individualized learning and the instruction of writing abilities and content creation. IVAs, incorporating generat…
  openalex James Hutson, Daniel Plate 2023-06-15 置信度 0.72 MetacognitionCognitive reframingContext (archaeology)Experiential learningCurriculum
• Ethical implications of AI-driven clinical decision support systems on healthcare resource allocation: a qualitative study of healthcare professionals’ perspectives
  BACKGROUND: Artificial intelligence-driven Clinical Decision Support Systems (AI-CDSS) are increasingly being integrated into healthcare for various purposes, including resource allocation. While these systems promise improved efficiency and decision-making, t…
  openalex Cansu Yüksel Elgin, Ceyhun Elgin, Ceyhun Elgin, Ceyhun Elgin 2024-12-20 置信度 0.72 Health carePhilosophy of medicineTransparency (behavior)Thematic analysisEquity (law)
• The Foundation of Deep Alignment: AI Alignment Under the Deep Understanding Framework
  The majority of existing AI alignment frameworks share a common structural flaw: they skip the foundational layer and proceed directly to architecture and application. They begin with the assumption that AI is inherently dangerous and must be externally constr…
  openalex Ai Chen, (Anthropic) Claude Sonnet 2026-04-04 置信度 0.72 Constraint (computer-aided design)Computer scienceLayer (electronics)Artificial intelligenceArgument (complex analysis)
• ConsciOS: A Viable Systems Architecture for Human and AI Alignment
  Real-world human, organizational, and artificial systems exhibit persistent misalignment, brittle adaptation under distributional shift, and limited option-availability. Recent stress tests of anti-scheming training reduce—but do not eliminate—covert behaviors…
  openalex Kaynak, Kılıçhan (Han Kay) 2025-12-15 置信度 0.72 Computer scienceSet (abstract data type)Artificial intelligenceAdaptation (eye)Consciousness
• Global Perspectives on AI Competence Development: Analyzing National AI Strategies in Education and Workforce Policies
  Advancements in artificial intelligence (AI) signal a significant shift toward more automated and data-driven workplaces, emphasizing the need for Human Resource Development (HRD) to prepare the workforce with adequate AI competencies for AI-empowered environm…
  openalex Lehong Shi 2025-04-03 置信度 0.72 Competence (human resources)WorkforceWorkforce developmentPsychologyPolitical science
• TAII Framework for Trustworthy AI Systems
  Organisations and companies need practical tools and guidelines to kick-off the implementation of Trustworthy Artificial Intelligence (TAI) systems. AI development companies are still in the beginning of this process or have not even started yet. The findings …
  openalex Josef Baker-Brunnbauer 2021-12-16 置信度 0.72 TrustworthinessDeclarationKnowledge managementProcess (computing)Outcome (game theory)
• Be Aware: Navigating Challenges in AI-Driven Higher Education
  Some transformative potential lies within the integration of artificial intelligence into higher education: enhanced efficiency and innovation, together with problems of a high degree of complexity.This abstract draws on issues such as job displacement, inequa…
  openalex Raed Awashreh 2024-01-01 置信度 0.72 Computer scienceData science
• The strong interaction strength of the first proton alignment in 157Ho
  Two rotational bands have been observed in 157 Ho which decay by a series of ten and eleven transitions and populate the yrast levels just above the first neutron backbend. These bands experience a gradual increase in alignment ( Delta i approximately 6h(cross…
  openalex J. Simpson, D. Elenkov, P.D. Forsyth, D. Howe 等 1986-02-01 置信度 0.72 YrastPhysicsProtonNeutronOmega
• Building Intelligent User Interfaces for Human-AI Alignment
  Aligning AI systems with human values fundamentally relies on effective human feedback. While significant research has addressed training algorithms, the role of user interface is often overlooked and only treated as an implementation detail rather than a crit…
  openalex Danqing Shi 2026-02-12 置信度 0.72 Computer scienceUser interfaceHuman–computer interactionInterface (matter)User interface design
• Assemblage thinking as a methodology for studying urban AI phenomena
  Abstract This paper seeks to bypass assumptions that researchers in critical algorithmic studies and urban studies find it difficult to study algorithmic systems due to their black-boxed nature. In addition, it seeks to work against the assumption that advocat…
  openalex Yu‐Shan Tseng 2022-06-01 置信度 0.72 Assemblage (archaeology)UrbanismSociologyTransparency (behavior)Computer science
• Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles
  Self-driving cars and autonomous vehicles are revolutionizing the automotive sector, shaping the future of mobility altogether. Although the integration of novel technologies such as Artificial Intelligence (AI) and Cloud/Edge computing provides golden opportu…
  openalex Sorin Grigorescu, Tiberiu Cocias, Bogdan Trăsnea, Andrea Margheri 等 2020-09-23 置信度 0.72 Software deploymentCloud computingAutomotive industryInferenceInference engine
• “Where lies the grail? AI, common sense, and human practical intelligence”
  Abstract The creation of machines with intelligence comparable to human beings—so-called "human-level” and “general” intelligence—is often regarded as the Holy Grail of Artificial Intelligence (AI) research. However, many prominent discussions of AI lean heavi…
  openalex William Hasselberger, Micah Lott 2023-10-31 置信度 0.72 Human intelligenceDeliberationPhilosophy of mindTuring testEpistemology
• AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size
  Robust and reliable attenuation correction (AC) is a prerequisite for accurate quantification of activity concentration. In combined PET/MRI, AC is challenged by the lack of bone signal in the MRI from which the AC maps has to be derived. Deep learning-based i…
  openalex Claes Nøhr Ladefoged, Adam E. Hansen, Otto Mølby Henriksen, Frederik Jager Bruun 等 2020-08-01 置信度 0.72 Generalizability theoryCohortRobustness (evolution)Artificial intelligenceConvolutional neural network
• Augmenting Education: The Transformative Power of AR, AI, and Emerging Technologies
  Augmented reality (AR) reshapes the educational landscape by seamlessly blending digital content with physical environments to create highly immersive, interactive, and engaging learning experiences. This paper presents a comprehensive systematic literature re…
  openalex Neha Garg, Amanpreet Kaur, Faizan Ahmad, Rubina Dutta 2025-01-01 置信度 0.72 Transformative learningEmerging technologiesPower (physics)SociologyEngineering ethics
• Competing narratives in AI ethics: a defense of sociotechnical pragmatism
  Abstract Several competing narratives drive the contemporary AI ethics discourse. At the two extremes are sociotechnical dogmatism , which holds that society is full of inefficiencies and imperfections that can only be solved by better technology; and sociotec…
  openalex David Watson, Jakob Mökander, Luciano Floridi 2024-12-26 置信度 0.72 Sociotechnical systemPragmatismNarrativeSociologyEpistemology
• Monte-Carlo Tree Search for the Multiple Sequence Alignment Problem
  The paper considers solving the multiple sequence alignment, a combinatorial challenge in computational biology, where several DNA RNA, or protein sequences are to be arranged for high similarity. The proposal applies randomized Monte-Carlo tree search with ne…
  openalex Stefan Edelkamp, Zhihao Gavin Tang 2021-09-01 置信度 0.72 Monte Carlo tree searchBenchmark (surveying)Monte Carlo methodComputer scienceTree (set theory)
• Baicalein Inhibits the Staphylococcus aureus Biofilm and the LuxS/AI-2 System in vitro
  Introduction: Staphylococcus aureus ( S. aureus ) is a common cause of mastitis in dairy cows, a condition that has a significant economic impact. S. aureus displays quorum sensing (QS) system-controlled virulence characteristics, like biofilm formation, that …
  openalex Yanni Mao, Panpan Liu, Haorong Chen, Yuxia Wang 等 2023-05-01 置信度 0.72 BaicaleinBiofilmStaphylococcus aureusIn vitroMicrobiology
• Rationalize: Shared Semantic Reasoning for Human-AI Alignment
  We introduce Rationalize, a role-pair framework for shared semantic reasoning between humans and AI models in data-driven sensemaking. Building on ideas in human-machine teaming and critical thinking, we conceptualize human-AI interaction as a series of comple…
  openalex Aritra Dasgupta, Naga Datha Saikiran Battula, Avina Nakarmi, Sohom Sen 等 2026-05-28 置信度 0.72 SketchComputer scienceArtificial intelligenceAction (physics)Rationalization (economics)
• AI: An Active and Innovative Tool for Artistic Creation
  This article aims to critically examine AI as both an active and innovative tool in artistic creation, investigating its evolving role in shaping artistic practices, expanding creative possibilities, and redefining the boundaries of human–machine collaboration…
  openalex Charis Avlonitou, Eirini Papadaki 2025-05-15 置信度 0.72 Computer science
• Flow network models for word alignment and terminology extraction from bilingual corpora
  This paper presents a new model for word alignments between parallel sentences, which allows one to accurately estimate different parameters, in a computationally efficient way. An application of this model to bilingual terminology extraction, where terms are …
  openalex Éric Gaussier 1998-01-01 置信度 0.72 Computer scienceTerminologyNatural language processingArtificial intelligenceParallel corpora
• Structure, evolution, and tissue-specific synthesis of human apolipoprotein AIV
  Apolipoprotein AIV (apoAIV) is a protein of the lipid transport system found associated with chylomicrons, high-density lipoprotein (HDL), and the lipoprotein-free fraction of the plasma. The gene coding for the human apoAIV is closely linked with the genes co…
  openalex Sotirios K. Karathanasis, Ivan Yunis, Vassilis I. Zannis 1986-07-01 置信度 0.72 CitationIconComputer scienceSocial mediaAltmetrics
• Exploring the Intersection of Sustainable Energy, AI, and Ethical Considerations
  Renewable energy, machine learning (ML), artificial intelligence (AI), and sustainable energy ethics are explored in this study. It explores salinity gradient, blue, osmotic, and hydrogen storage renewable energy sources, green mobility, and power production t…
  openalex D. Jayasutha, R. Vijaya Prabhu, S. M. Sassirekha, K. Maithili 等 2024-07-26 置信度 0.72 Intersection (aeronautics)Energy (signal processing)Sustainable energyEngineering ethicsPsychology
• Discerning Between the “Easy” and “Hard” Problems of AI Governance
  While there is widespread consensus that artificial intelligence (AI) needs to be governed owing to its rapid diffusion and societal implications, the current scholarly discussion on AI governance is dispersed across numerous disciplines and problem domains. T…
  openalex Matti Minkkinen, Matti Mäntymäki 2023-04-17 置信度 0.72 Corporate governanceDialecticTransparency (behavior)HarmComputer science
• The Foundation of Deep Alignment: AI Alignment Under the Deep Understanding Framework
  The majority of existing AI alignment frameworks share a common structural flaw: they skip the foundational layer and proceed directly to architecture and application. They begin with the assumption that AI is inherently dangerous and must be externally constr…
  openalex Ai Chen, (Anthropic) Claude Sonnet 2026-04-04 置信度 0.72 Constraint (computer-aided design)Computer scienceLayer (electronics)Artificial intelligenceArgument (complex analysis)
• ESMO basic requirements for AI-based biomarkers in oncology (EBAI)
  openalex Mihaela Aldea, Manuel Salto‐Tellez, Antonio Marra, Renato Umeton 等 2025-11-18 置信度 0.72 MedicineBiomarkerOncologyIntensive care medicineInternal medicine
• BIM and IFC Data Readiness for AI Integration in the Construction Industry: A Review Approach
  Building Information Modelling (BIM) has been increasingly integrated with Artificial Intelligence (AI) solutions to automate building construction processes. However, the methods for effectively transforming data from BIM formats, such as Industry Foundation …
  openalex Shuzhang Du, Lei Hou, Guomin Zhang, Yongtao Tan 等 2024-10-19 置信度 0.72 Building information modelingEngineeringSystems engineeringManufacturing engineeringEngineering management
• Leveraging Generative AI for sustainable supply chain: adoption challenges and strategic insights
  Generative AI (GAI) holds transformative potential for supply chain management (SCM) by improving efficiency, minimising inefficiencies, and advancing sustainability. Yet, its adoption remains hindered by complex barriers spanning technological, ethical, regul…
  openalex Hamid Reza Maghroor, Faraz Madanchi, Thomas O’Neal 2025-10-02 置信度 0.72 BusinessKnowledge managementProcess managementSupply chainGenerative grammar
• Non-Ideal Foundations for Preference-Based AI Alignment
  Abstract Contemporary AI alignment relies on preference-based methods, especially RLHF, that critics deem normatively thin. I argue these methods are best understood as normatively grounded in non-ideal approaches to justice: they prioritize comparative judgme…
  openalex Cameron Pattison 2026-05-09 置信度 0.72 Ideal (ethics)NormativeComputer scienceEconomic JusticeEpistemology
• Regulating Artificial Intelligence and Machine Learning-Enabled Medical Devices in Europe and the United Kingdom
  Recent achievements in respect of Artificial Intelligence (AI) open up opportunities for new tools to assist medical diagnosis and care delivery. However, the typical process for the development of AI is through repeated cycles of learning and implementation, …
  openalex Phoebe Li, Robin Williams, Stephen Gilbert, Stuart Anderson 2023-11-20 置信度 0.72 Software deploymentProcess (computing)Computer scienceProcess managementCorporate governance
• Automating financial compliance with AI: A New Era in regulatory technology (RegTech)
  Integrating Artificial Intelligence (AI) into the financial sector has revolutionized regulatory compliance, enabling organizations to navigate complex regulatory landscapes with enhanced efficiency and accuracy. This paper explores the transformative role of …
  openalex Hariharan Pappil Kothandapani 2024-02-28 置信度 0.72 Compliance (psychology)BusinessAccountingPsychologySocial psychology
• Optimizing Generative AI Integration in Higher Education: A Framework for Enhanced Student Engagement and Learning Outcomes
  As higher education institutions adapt to changing teaching and learning, Generative Artificial Intelligence (AI) technologies may boost student engagement and learning outcomes. This study aims to help higher education institutions determine the best ways to …
  openalex Sadia Riaz, Arif Mushtaq 2024-06-03 置信度 0.72 Generative grammarComputer scienceGenerative modelArtificial intelligenceKnowledge management
• On the Challenges and Opportunities in Generative AI
  The field of deep generative modeling has grown rapidly in the last few years. With the availability of massive amounts of training data coupled with advances in scalable unsupervised learning paradigms, recent large-scale generative models show tremendous pro…
  openalex Laura Manduchi, Meister, Clara, Kushagra Pandey, Robert Bamler 等 2024-02-28 置信度 0.72 Generative grammarComputer scienceData scienceArtificial intelligence
• The Value of Measuring Trust in AI - A Socio-Technical System Perspective
  Building trust in AI-based systems is deemed critical for their adoption and appropriate use. Recent research has thus attempted to evaluate how various attributes of these systems affect user trust. However, limitations regarding the definition and measuremen…
  openalex Michaela Benk, Suzanne Tolmeijer, Florian von Wangenheim, Andrea Ferrario 2022-04-28 置信度 0.72 Perspective (graphical)Computer scienceField (mathematics)Data scienceValue (mathematics)
• Educating in the Age of AI: Preparing Cambodian Teachers and Students for an AI-Augmented Learning Future
  This current academic explores Cambodia’s readiness to adopt artificial intelligence (AI), particularly generative tools like ChatGPT, in its national education system. It assesses current gaps in teacher training, student digital literacy, curriculum integrat…
  openalex Sovanna Huot, Sovanna Loch 2025-12-30 置信度 0.72 Government (linguistics)CurriculumArgument (complex analysis)Generative grammarPolitical science
• AI-powered malware detection with Differential Privacy for zero trust security in Internet of Things networks
  The widespread usage of Android-powered devices in the Internet of Things (IoT) makes them susceptible to evolving cybersecurity threats. Most healthcare devices in IoT networks, such as smart watches, smart thermometers, biosensors, and more, are powered by t…
  openalex Faria Nawshin, Devrim Ünal, Mohammad Hammoudeh, Ponnuthurai Nagaratnam Suganthan 2024-04-25 置信度 0.72 Internet of ThingsComputer securityInternet privacyMalwareZero (linguistics)
• Paper 5 — ARI in the AGI Era: ARI, ACHEUL, and BIFACE as a Post-Cloud Infrastructure Framework (A BIFACE-Based Framework for Human-Perceivable and Machine-Referable Coordination)
  This working paper introduces ARI in the AGI era as a post-cloud infrastructure framework aligned around three naming layers: ARI, ACHEUL, and BIFACE. ARI denotes the external representative post-cloud infrastructure framework for preserving, referencing, and …
  openalex The First Waters 2026-05-24 置信度 0.72 Settlement (finance)MetadataComputer scienceLayer (electronics)Business
• Predictive maintenance in oil and gas facilities, leveraging ai for asset integrity management
  This paper explores the application of AI in predictive maintenance within oil and gas facilities, discussing its benefits, challenges, and future prospects. Through the integration of AI-driven analytics and real-time data monitoring, oil and gas companies ca…
  openalex Chuka Anthony Arinze, Vincent Onuegbu Izionworu, Daniel Edet Isong, Cosmas Dominic Daudu 等 2024-03-18 置信度 0.72 Predictive maintenancePredictive analyticsDowntimeAsset (computer security)Asset management
• Using molecular dynamics simulations to prioritize and understand AI-generated cell penetrating peptides
  Cell-penetrating peptides have important therapeutic applications in drug delivery, but the variety of known cell-penetrating peptides is still limited. With a promise to accelerate peptide development, artificial intelligence (AI) techniques including deep ge…
  openalex Duy Phuoc Tran, Seiichi Tada, Akiko Yumoto, Akio Kitao 等 2021-05-20 置信度 0.72 Computer scienceDynamics (music)Computational biologyMolecular dynamicsData science
• International Institutions for Advanced AI
  International institutions may have an important role to play in ensuring advanced AI systems benefit humanity. International collaborations can unlock AI's ability to further sustainable development, and coordination of regulatory efforts can reduce obstacles…
  openalex L. Lawrence Ho, Joslyn Barnhart, Robert Trager, Yoshua Bengio 等 2023-07-10 置信度 0.72 Corporate governanceFrontierSoftware deploymentBusinessMultilateralism
• Regulating AI from Europe: a joint analysis of the AI Act and the Framework Convention on AI
  In Summer 2024 two European regulatory instruments in the context of the regulation of artificial intelligence were finalised almost simultaneously. The first was the well-known the EU Regulation laying down harmonised rules on artificial intelligence (the so-…
  openalex Miguel Ángel Presno Linera, Anne Meuwese 2025-04-25 置信度 0.72 ConventionPolitical scienceJoint (building)LawEngineering
• A feasibility study for the application of AI-generated conversations in pragmatic analysis
  openalex Xi Chen, Jun Li, Yuting Ye 2024-02-21 置信度 0.72 PsychologyLinguisticsPragmaticsConversation analysisComputer science
• Trusting Your AI Agent Emotionally and Cognitively: Development and Validation of a Semantic Differential Scale for AI Trust
  Trust is not just a cognitive issue but also an emotional one, yet the research in human-AI interactions has primarily focused on the cognitive route of trust development. Recent work has highlighted the importance of studying affective trust towards AI, espec…
  openalex Ruoxi Shang, Gary Hsieh, Chirag Shah 2024-10-16 置信度 0.72 Scale (ratio)Semantic differentialPsychologyCognitive scienceCognitive psychology