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• The Stable Equivalence Stratum of Mathematical / AI Alignment
  Abstract The root difficulty of mathematical / AI alignment lies in the absence of a single structural universe. Once object-domain, admissible operations, functorial transport, ledger semantics, and interface declarations belong to different universes, domain…
  openalex Dedong Zhan 2026-04-17 置信度 0.72 MathematicsEquivalence (formal languages)Lift (data mining)Closure (psychology)Discrete mathematics
• Overview of artificial intelligence-based applications in radiotherapy: Recommendations for implementation and quality assurance
  Artificial Intelligence (AI) is currently being introduced into different domains, including medicine. Specifically in radiation oncology, machine learning models allow automation and optimization of the workflow. A lack of knowledge and interpretation of thes…
  openalex Liesbeth Vandewinckele, Michaël Claessens, Anna M. Dinkla, Charlotte L. Brouwer 等 2020-09-10 置信度 0.72 WorkflowQuality assuranceComputer scienceAutomationSoftware deployment
• IMPLEMENTING AI IN BUSINESS MODELS: STRATEGIES FOR EFFICIENCY AND INNOVATION
  This review delves into the profound impact of artificial intelligence (AI) integration on contemporary business paradigms. The paper meticulously explores diverse AI applications, including machine learning, natural language processing, and predictive analyti…
  openalex David Olanrewaju Olutimehin, Onyeka Chrisanctus Ofodile, Irunna Ejibe, Olusegun Gbenga Odunaiya 等 2024-03-23 置信度 0.72 Business modelProcess managementBusinessKnowledge managementComputer science
• Identifying Facilitators and Barriers to Implementation of AI-Assisted Clinical Decision Support in an Electronic Health Record System
  Recent advancements in computing have led to the development of artificial intelligence (AI) enabled healthcare technologies. AI-assisted clinical decision support (CDS) integrated into electronic health records (EHR) was demonstrated to have a significant pot…
  openalex Joseph Finkelstein, Aileen Gabriel, Susanna Schmer, Tuyet‐Trinh Truong 等 2024-09-18 置信度 0.72 Transparency (behavior)OnboardingClinical decision support systemHealth informaticsProcess management
• The Stable Equivalence Stratum of Mathematical / AI Alignment
  Abstract The root difficulty of mathematical / AI alignment lies in the absence of a single structural universe. Once object-domain, admissible operations, functorial transport, ledger semantics, and interface declarations belong to different universes, domain…
  openalex Dedong Zhan 2026-04-17 置信度 0.72 MathematicsEquivalence (formal languages)Lift (data mining)Closure (psychology)Discrete mathematics
• Privacy Strategies for Conversational AI and their Influence on Users' Perceptions and Decision-Making
  Conversational AI (CAI) systems are on the rise and have been widely adopted in homes, cars and public spaces. Yet, people report privacy concerns and mistrust in these systems. Current data protection regulations ask providers to communicate data practices tr…
  openalex Anna Leschanowsky, Birgit Popp, Nils Peters 2023-10-13 置信度 0.72 HeuristicsUsabilityComputer scienceInternet privacyPerception
• Analysis of structural and physico-chemical parameters involved in the specificity of binding between α-amylases and their inhibitors
  Enzyme-inhibitor specificity was studied for alpha-amylases and their inhibitors. We purified and cloned the cDNAs of two different alpha-amylase inhibitors from the common bean (Phaseolus vulgaris) and have recently cloned the cDNA of an alpha-amylase of the …
  openalex M.C.M. Da Silva, M.F.Grossi de Sá, M. J. Chrispeels, Roberto Coiti Togawa 等 2000-03-01 置信度 0.72 Alpha-amylaseAmylaseHydrogen bondPhaseolusStereochemistry
• Ethical risk for AI
  Abstract The term ‘ethical risk’ often appears in discussions about the responsible development and deployment of artificial intelligence (AI). However, ethical risk remains inconsistently defined in this context, obscuring what distinguishes it from other for…
  openalex David Douglas, Justine Lacey, David Howard 2024-08-08 置信度 0.72 Engineering ethicsPsychologyEngineering
• Improvements in viral gene annotation using large language models and soft alignments
  BACKGROUND: The annotation of protein sequences in public databases has long posed a challenge in molecular biology. This issue is particularly acute for viral proteins, which demonstrate limited homology to known proteins when using alignment, k-mer, or profi…
  openalex William Harrigan, Barbra D. Ferrell, K. Eric Wommack, Shawn W. Polson 等 2024-04-25 置信度 0.72 AnnotationComputational biologyDNA microarrayComputer scienceGene
• Cellular alignment and fusion: Quantifying the effect of macrophages and fibroblasts on myoblast terminal differentiation
  openalex Colin Venter, Carola U. Niesler 2018-07-20 置信度 0.72 Cell fusionBiologyMyocyteCell biologyFibroblast
• AI Alignment Breaks at the Edge
  General Alignment has improved average-case helpfulness and safety, but current alignment practice still rewards confident, single-turn responses. The problem is not only that models fail on edge cases; it is that current evaluation makes many of these failure…
  arxiv Han Bao, Yue Huang, Xiaoda Wang, Zheyuan Zhang 等 2026-02-23 置信度 0.78 Computer scienceInterdependenceCognitive reframingCorporate governancePlural
• GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
  The extraordinary ability of generative models to generate photographic images has intensified concerns about the spread of disinformation, thereby leading to the demand for detectors capable of distinguishing between AI-generated fake images and real images. …
  openalex Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang 等 2023-06-14 置信度 0.72 Computer scienceArtificial intelligenceGenerator (circuit theory)DetectorBenchmark (surveying)
• Clone-Robust AI Alignment
  A key challenge in training Large Language Models (LLMs) is properly aligning them with human preferences. Reinforcement Learning with Human Feedback (RLHF) uses pairwise comparisons from human annotators to train reward functions and has emerged as a popular …
  openalex Ariel D. Procaccia, Benjamin F. Schiffer, Shirley Zhang 2025-01-16 置信度 0.72 clone (Java method)BiologyComputational biologyComputer scienceArtificial intelligence
• Rethinking designer agency: A case study of co-creation between designers and AI
  The creativity exhibited by generative artificial intelligence (AI) has caused anxiety among some designers. This unclearly explained creativity has a significant impact on designers' creative activities. Therefore, this study aims to explore the process of co…
  openalex Xinyu Guo, Yi Xiao, Jiaqi Wang, Tie Ji 2023-10-05 置信度 0.72 CreativityAgency (philosophy)Generative grammarGenerative DesignComputer science
• Forecasting AI progress: A research agenda
  Forecasting AI progress is essential to reducing uncertainty in order to appropriately plan for research efforts on AI safety and AI governance. While this is generally considered to be an important topic, little work has been conducted on it and there is no p…
  openalex Ross Gruetzemacher, Florian E. Dorner, Nikolas Bernaola, Charlie Giattino 等 2021-06-19 置信度 0.72 Variety (cybernetics)Computer scienceField (mathematics)Delphi methodManagement science
• Enough of the chit-chat: A comparative analysis of four AI chatbots for calculus and statistics
  This article presents a comparative analysis of four AI chatbots with potential utilization in the fields of mathematics education and statistics, namely ChatGPT, GPT-4, Bard, and LLaMA. Our objective is to evaluate and compare the features, functionalities, a…
  openalex David Santandreu Calonge, Linda Smail, Firuz Kamalov 2023-08-22 置信度 0.72 Computer scienceCalculus (dental)Selection (genetic algorithm)Transformational leadershipStatistics
• Trustworthy AI: From Principles to Practices
  The rapid development of Artificial Intelligence (AI) technology has enabled the deployment of various systems based on it. However, many current AI systems are found vulnerable to imperceptible attacks, biased against underrepresented groups, lacking in user …
  openalex Bo Li, Peng Qi, Bo Liu, Shuai Di 等 2021-10-04 置信度 0.72 TrustworthinessSoftware deploymentTransparency (behavior)Computer scienceAccountability
• Ethical theories, governance models, and strategic frameworks for responsible AI adoption and organizational success
  As artificial intelligence (AI) becomes integral to organizational transformation, ethical adoption has emerged as a strategic concern. This paper reviews ethical theories, governance models, and implementation strategies that enable responsible AI integration…
  openalex Mitra Madanchian, Hamed Taherdoost 2025-07-16 置信度 0.72 Transparency (behavior)Business ethicsCorporate governanceAccountabilityDeontological ethics
• A Bias-Free Training Paradigm for More General AI-generated Image Detection
  Successful forensic detectors can produce excellent results in supervised learning benchmarks but struggle to transfer to real-world applications. We believe this limitation is largely due to inadequate training data quality. While most research focuses on dev…
  openalex Fabrizio Guillaro, Giada Zingarini, Ben Usman, Avneesh Sud 等 2025-06-10 置信度 0.72 Computer scienceTraining (meteorology)Artificial intelligenceImage (mathematics)Object detection
• Trust in Generative AI Tools: A Comparative Study of Higher Education Students, Teachers, and Researchers
  Generative AI (GenAI) tools, including ChatGPT, Microsoft Copilot, and Google Gemini, are rapidly reshaping higher education by transforming how students, educators, and researchers engage with learning, teaching, and academic work. Despite their growing prese…
  openalex Elena Đerić, Domagoj Frank, Marin Milković 2025-07-21 置信度 0.72 Generative grammarMathematics educationPsychologyPedagogyComputer science
• Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI
  openalex Sandra Wachter, Brent Mittelstadt, Chris Russell 2020-01-01 置信度 0.72 Law and economicsNormativeRelevance (law)JurisprudenceBridging (networking)
• An AI decision‐making framework for business value maximization
  Abstract This article addresses a key question of why businesses are failing to maximize business value from their artificial intelligence (AI) investments and proposes a strategic decision‐making framework for AI decision‐making to address this problem. We su…
  openalex Naveen Gudigantala, Sreedhar Madhavaram, Pelin Bicen 2023-02-16 置信度 0.72 Key (lock)Business intelligenceCompetitive advantageComputer scienceBridge (graph theory)
• From pilots to decision systems: embedding generative AI into strategic decision-making through a socio-technical and governance lens
  Generative AI (GAI) promises superior analytics and agility in strategy work, yet organisations struggle to move beyond pilots towards routinised decision inputs. This study investigates how GAI becomes embedded in strategic decision-making (SDM) through a qua…
  openalex Thorn-Ole Saup, Jawad Asghar, Dominik K. Kanbach, Sascha Kraus 2026-01-02 置信度 0.72 Corporate governanceComputer scienceEmbeddingArtificial intelligenceThrough-the-lens metering
• Corn leaf disease: insightful diagnosis using VGG16 empowered by explainable AI
  The agricultural sector is pivotal to food security and economic stability worldwide. Corn holds particular significance in the global food industry, especially in developing countries where agriculture is a cornerstone of the economy. However, corn crops are …
  openalex Maria Tariq, Usman Ali, Sagheer Abbas, Shahzad Hassan 等 2024-06-26 置信度 0.72 Transparency (behavior)Food securityAgricultureComputer scienceAgricultural engineering
• GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation
  Source-free domain adaptation is a crucial machine learning topic, as it contains numerous applications in the real world, particularly with respect to data privacy. Existing approaches predominantly focus on Euclidean data, such as images and videos, while th…
  openalex Junyu Luo, Yiyang Gu, Xiao Luo, Wei Ju 等 2024-06-18 置信度 0.72 JigsawComputer scienceDomain adaptationArtificial intelligenceGraph
• QseC controls biofilm formation of non-typeable Haemophilus influenzae in addition to an AI-2-dependent mechanism
  Non-typeable Haemophilus influenzae (NTHi) is a common pathogen associated with diseases such as acute otitis media or exacerbations in patients with chronic obstructive pulmonary disease. The biofilm-forming capability substantially contributes to the persist…
  openalex Can Ünal, Birendra Singh, Christophe Fleury, Kalpana Singh 等 2012-09-04 置信度 0.72 BiofilmQuorum sensingHaemophilus influenzaeMicrobiologyBiology
• Beyond Post hoc Explanations: A Comprehensive Framework for Accountable AI in Medical Imaging Through Transparency, Interpretability, and Explainability
  The integration of artificial intelligence (AI) in medical imaging has revolutionized diagnostic capabilities, yet the black-box nature of deep learning models poses significant challenges for clinical adoption. Current explainable AI (XAI) approaches, includi…
  openalex Yashbir Singh, Quincy A. Hathaway, Varekan Keishing, Sara Salehi 等 2025-08-15 置信度 0.72 InterpretabilityPost hocFidelityTransparency (behavior)Computer science
• Evaluating the Impact of AI in Orthopedics: A Quantitative Analysis of Advancements and Challenges
  Abstract This study systematically evaluates the development of artificial intelligence applications in orthopedics using bibliometric analysis methods. Data obtained from the Web of Science database, analyzing 1833 documents published between 1988 and 2024, r…
  openalex Mustafa Aydın, Fatih Orhan 2025-05-12 置信度 0.72 Orthopedic surgeryMedicineSurgery
• LEVERAGING QUANTUM COMPUTING FOR INCLUSIVE AND RESPONSIBLE AI DEVELOPMENT: A CONCEPTUAL AND REVIEW FRAMEWORK
  This paper proposes a novel conceptual framework that integrates the advanced capabilities of quantum computing to address the urgent need for responsible and inclusive Artificial Intelligence (AI) development. It reviews current challenges in AI, such as bias…
  openalex Temidayo Olorunsogo, Boma Sonimiteim Jacks, Olakunle Abayomi Ajala 2024-03-22 置信度 0.72 Development (topology)Computer scienceConceptual frameworkCognitive scienceData science
• Establishing organizational AI governance in healthcare: a case study in Canada
  This research applies the People, Process, Technology, and Operations (PPTO) framework to develop AI governance within a large hospital system in Canada that is early in AI adoption. Stakeholder interviews identified the organization's strengths, gaps, and pri…
  openalex Jee Young Kim, Alifia Hasan, Jacqueline K. Kueper, Terence Tang 等 2025-08-15 置信度 0.72 Corporate governanceKnowledge managementHealth careContext (archaeology)Stakeholder
• Will the Use of AI Undermine Students Independent Thinking?
  In recent years, the rapid integration of artificial intelligence (AI) technologies into education has sparked intense academic and public debate regarding their impact on students’ cognitive development. One of the central concerns raised by researchers and p…
  openalex Roman Yavich 2025-05-28 置信度 0.72 Mathematics educationPsychologyPedagogyComputer scienceEpistemology
• Human-Centered Artificial Intelligence: Three Fresh Ideas
  Human-Centered AI (HCAI) is a promising direction for designing AI systems that support human self-efficacy, promote creativity, clarify responsibility, and facilitate social participation. These human aspirations also encourage consideration of privacy, secur…
  openalex Ben Shneiderman 2020-01-01 置信度 0.72 CreativityCognitive reframingKnowledge managementEngineering ethicsCorporate governance
• A deep dive into AI integration and advanced nanobiosensor technologies for enhanced bacterial infection monitoring
  Abstract The emergence of smart and nanobiosensor (NB) technologies has transformed the monitoring and management of bacterial infections. These developments offer remarkable accuracy and precision for detecting infectious pathogens. Smart artificial intellige…
  openalex Habib Ullah Khan, Zahoor Jan, Inam Ullah, Abdullah Alwabli 等 2024-01-01 置信度 0.72 Computer scienceEnvironmental science
• Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for AI-generated Radiology Reports
  In radiology, Artificial Intelligence (AI) has significantly advanced report generation, but automatic evaluation of these AI-produced reports remains challenging. Current metrics, such as Conventional Natural Language Generation (NLG) and Clinical Efficacy (C…
  openalex Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou 等 2024-06-03 置信度 0.72 Computer scienceMedical educationRadiologyMedical physicsMedicine
• Artificial Intelligence and Bias Towards Marginalised Groups: Theoretical Roots and Challenges
  This chapter explores the critical intersection of artificial intelligence (AI) and systemic bias against marginalised communities, employing an intersectional lens to assess how AI systems perpetuate and amplify discrimination. Drawing on insights from sociol…
  openalex Aybike Mergen, Nergiz Çetin-Kılıç, Mustafa F. Özbilgin 2025-04-11 置信度 0.72 PsychologyArtificial intelligenceSociologyComputer scienceEpistemology
• Ethical content in artificial intelligence systems: A demand explained in three critical points
  Artificial intelligence (AI) advancements are changing people's lives in ways never imagined before. We argue that ethics used to be put in perspective by seeing technology as an instrument during the first machine age. However, the second machine age is alrea…
  openalex Ana Correa, Maurício C. Serafim 2023-03-30 置信度 0.72 PsychologyContent (measure theory)Social psychologyCognitive psychologyMathematical analysis
• The impact of artificial intelligence (AI) on employment and economic growth in BRICS: Does the moderating role of governance Matter?
  The BRICS countries, namely Brazil, Russia, India, China, and South Africa, are committed to achieving and sustaining Sustainable Development Goal (SDG) 8 of the United Nations, which focuses on sustainable economic growth and productive employment and decent …
  openalex Charles Shaaba Saba, Nicholas Ngepah 2024-03-12 置信度 0.72 Corporate governanceDistributed lagEconomicsSustainable developmentPolitics
• B-Wheel – Building AI competences in academic libraries
  Academic libraries have moved swiftly to grasp the challenges and opportunities of the new Artificial Intelligence (AI) technologies. The body of academic and practice-based literature is growing fast, showing how libraries are exploring their role in Informat…
  openalex Heli Kautonen, Andrea Gasparini 2024-05-07 置信度 0.72 Mathematics educationArchitectural engineeringComputer scienceSociologyEngineering
• Effective Generative AI Implementation in Developing Country Universities
  This paper explores the integration of Generative Artificial Intelligence (Gen AI) into the teaching-learning-assessment processes within Higher Education Institutions (HEIs), particularly those located in developing countries. Through a mixed-methods approach…
  openalex Claudia Camacho-Zúñiga 2024-06-25 置信度 0.72 Generative grammarDeveloping countryComputer scienceArtificial intelligenceEconomics
• Unpaired Image Captioning via Scene Graph Alignments
  Most of current image captioning models heavily rely on paired image-caption datasets. However, getting large scale image-caption paired data is labor-intensive and time-consuming. In this paper, we present a scene graph-based approach for unpaired image capti…
  openalex Jiuxiang Gu, Shafiq Joty, Jianfei Cai, Handong Zhao 等 2019-03-26 置信度 0.72 Closed captioningComputer scienceArtificial intelligenceGraphSentence
• Inclusive Growth in the Era of Automation and AI: How Can Taxation Help?
  In the last decades, the world economy is facing a massive rise in automation, robotics and Artificial Intelligence (AI) which, according to some analysts, could lead to significant job losses or job polarization and hence widen income and wealth disparities. …
  openalex Rossana Merola 2022-05-31 置信度 0.72 AutomationInclusive growthBusinessComputer scienceEconomics
• ChatGPT and Beyond: Exploring the Responsible Use of Generative AI in the Workplace
  Artificial intelligence (AI)-based systems are increasingly pervading most parts of our everyday life.Whether we are shopping online or looking for information at work, providers nowadays rely on AI-based models and seek to provide us with tailored support or …
  openalex Matthias Söllner, Thomas Arnold, Alexander Benlian, Ulrich Bretschneider 等 2025-02-12 置信度 0.72 Generative grammarKnowledge managementEngineeringArtificial intelligenceComputer science
• Employing Remote Sensing, Data Communication Networks, AI, and Optimization Methodologies in Seismology
  Seismology is among the intrinsic sciences that strictly affect human lives. Many research efforts are presented in the literature aiming at achieving risk mitigation and disaster management. More particularly, modern technologies have been employed in such a …
  openalex Mohamed S. Abdalzaher, Hussein A. Elsayed, Mostafa M. Fouda 2022-01-01 置信度 0.72 Computer scienceBig dataData scienceNatural disasterRisk analysis (engineering)
• Can generative AI reliably synthesise literature? exploring hallucination issues in ChatGPT
  Abstract This study evaluates the capabilities and limitations of generative AI, specifically ChatGPT, in conducting systematic literature reviews. Using the PRISMA methodology, we analysed 124 recent studies, focusing in-depth on a subset of 40 selected throu…
  openalex Amr Adel, Noor Alani 2025-06-21 置信度 0.72 Context (archaeology)WorkflowComputer scienceTask (project management)Generative grammar
• The GenAI is out of the bottle: generative artificial intelligence from a business model innovation perspective
  Abstract The introduction of ChatGPT in November 2022 by OpenAI has stimulated substantial discourse on the implementation of artificial intelligence (AI) in various domains such as academia, business, and society at large. Although AI has been utilized in num…
  openalex Dominik K. Kanbach, Louisa Heiduk, Georg Blueher, Maximilian Schreiter 等 2023-09-13 置信度 0.72 Variety (cybernetics)Perspective (graphical)Generative grammarBusiness modelComputer science
• Dynamics of user engagement: AI mastery goal and the paradox mindset in AI–employee collaboration
  Given the scarcity of previous studies on employee–AI collaboration and its impact on employee behavior and user engagement, we investigated its potential to drive user engagement using a mixed-method approach. Grounded in qualitative findings from 27 particip…
  openalex Reza Marvi, Pantea Foroudi, Naja AmirDadbar 2025-04-14 置信度 0.72 MindsetDynamics (music)Goal settingGoal orientationKnowledge management
• Enhancing Household Energy Consumption Predictions Through Explainable AI Frameworks
  Effective energy management is crucial for sustainability, carbon reduction, resource conservation, and cost savings. However, conventional energy forecasting methods often lack accuracy, suggesting the need for advanced approaches. Artificial intelligence (AI…
  openalex Aakash Bhandary, Vruti Dobariya, Gokul Yenduri, Rutvij H. Jhaveri 等 2024-01-01 置信度 0.72 InterpretabilityMean squared errorComputer scienceEnergy consumptionTransparency (behavior)
• Advancing ethics review practices in AI research
  openalex Madhulika Srikumar, Rebecca Finlay, Grace Abuhamad, Carolyn Ashurst 等 2022-12-14 置信度 0.72 Engineering ethicsResearch ethicsTerm (time)Political sciencePublic relations
• LLM Agents for Smart City Management: Enhancing Decision Support Through Multi-Agent AI Systems
  This study investigates the implementation of LLM agents in smart city management, leveraging both the inherent language processing abilities of LLMs and the distributed problem solving capabilities of multi-agent systems for the improvement of urban decision …
  openalex Anna V. Kalyuzhnaya, Sergey Mityagin, Elizaveta Lutsenko, Andrey Getmanov 等 2025-01-24 置信度 0.72 Computer scienceDecision support systemProcess managementKnowledge managementBusiness
• A fine-tuning enhanced RAG system with quantized influence measure as AI judge
  This study presents an innovative enhancement to retrieval-augmented generation (RAG) systems by seamlessly integrating fine-tuned large language models (LLMs) with vector databases. This integration capitalizes on the combined strengths of structured data ret…
  openalex Keshav Rangan, Yiqiao Yin 2024-11-10 置信度 0.72 Computer scienceChatbotProcess (computing)Adaptation (eye)Measure (data warehouse)
• Responsible AI in Organizational Training: Applications, Implications, and Recommendations for Future Development
  Through a literature review, this study investigates the responsibility, application, and impact of Artificial Intelligence (AI) in organizational training based on the theoretical frameworks of Psychological, Economic, and Systems Theories in Human Resource D…
  openalex Zhisheng Chen 2024-08-19 置信度 0.72 Organization developmentKnowledge managementTraining (meteorology)PsychologyOrganizational learning
• Towards a unified evaluation framework: integrating human perception and metrics for AI-generated images
  openalex Memoona Aziz, Umair Rehman, Muhammad Umair Danish, Syed Taha Ali 等 2025-04-04 置信度 0.72 Computer sciencePerceptionComputer graphicsCryptographyArtificial intelligence
• Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment
  Unpaired cross-lingual image captioning has long suffered from irrelevancy and disfluency issues, due to the inconsistencies of the semantic scene and syntax attributes during transfer. In this work, we propose to address the above problems by incorporating th…
  openalex Shengqiong Wu, Hao Fei, Wei Ji, Tat‐Seng Chua 2023-01-01 置信度 0.72 Closed captioningComputer scienceFluencyNatural language processingMachine translation
• Digital twins and AI for healthy and sustainable cities
  The paper discusses the relevance of the latest advances in data science and artificial intelligence for urban systems research. It has a particular focus on the importance of recent innovations in the context of ‘wicked’ urban problems which continue to confr…
  openalex Mark Birkin, Patrick Ballantyne, Seth Bullock, Alison Heppenstall 等 2025-05-12 置信度 0.72 GeographyCartography
• CURRICULUM AUDIT: AN ANALYSIS OF CURRICULUM ALIGNMENT AT SECONDARY LEVEL IN PUNJAB
  objectives of this study entitled audit: An analysis of curriculum alignment at secondary level in Punjab were to (a) determine the alignment of Supported Curriculum with the Written curriculum, (b) determine alignment of Taught Curriculum with the Writt…
  openalex Abdul Jabbar Bhattı 2015-01-01 置信度 0.72 CurriculumMathematics educationSession (web analytics)Curriculum mappingSample (material)
• A Revealed Preference Framework for AI Alignment
  Human decision makers increasingly delegate choices to AI agents, raising a natural question: does the AI implement the human principal's preferences or pursue its own? To study this question using revealed preference techniques, I introduce the Luce Alignment…
  openalex Elchin Suleymanov 2026-03-29 置信度 0.72 PreferenceDelegateArtificial intelligenceField (mathematics)Computer science
• A Revealed Preference Framework for AI Alignment
  Human decision makers increasingly delegate choices to AI agents, raising a natural question: does the AI implement the human principal's preferences or pursue its own? To study this question using revealed preference techniques, I introduce the Luce Alignment…
  openalex Elchin Suleymanov 2026-03-29 置信度 0.72 PreferenceDelegateArtificial intelligenceField (mathematics)Computer science
• Bridging the gap: the case for an ‘Incompletely Theorized Agreement’ on AI policy
  Abstract Recent progress in artificial intelligence (AI) raises a wide array of ethical and societal concerns. Accordingly, an appropriate policy approach is urgently needed. While there has been a wave of scholarship in this field, the research community at t…
  openalex Charlotte Stix, Matthijs M. Maas 2021-01-15 置信度 0.72 Bridging (networking)ScholarshipTerm (time)Bridge (graph theory)Political science
• Aligned with Whom? Direct and Social Goals for AI Systems
  openalex Anton Korinek, Avital Balwit 2022-01-01 置信度 0.72 Political scienceComputer science
• Neuro-Symbolic AI: An Emerging Class of AI Workloads and their\n Characterization
  Neuro-symbolic artificial intelligence is a novel area of AI research which\nseeks to combine traditional rules-based AI approaches with modern deep\nlearning techniques. Neuro-symbolic models have already demonstrated the\ncapability to outperform state-of-th…
  openalex Zachary Susskind, Bryce Arden, Lizy K. John, Patrick A. Stockton 等 2021-09-13 置信度 0.72 Computer scienceBottleneckArtificial intelligenceDeep learningField (mathematics)
• Unleashing the potential: AI empowered advanced metasurface research
  In recent years, metasurface, as a representative of micro- and nano-optics, have demonstrated a powerful ability to manipulate light, which can modulate a variety of physical parameters, such as wavelength, phase, and amplitude, to achieve various functions a…
  openalex Yunlai Fu, Xuxi Zhou, Yiwan Yu, Jiawang Chen 等 2024-02-27 置信度 0.72 NanomaterialsNanotechnologyMetamaterialComputer scienceMaterials science
• A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI
  Generative AI has demonstrated impressive performance in various fields, among which speech synthesis is an interesting direction. With the diffusion model as the most popular generative model, numerous works have attempted two active tasks: text to speech and…
  openalex Chenshuang Zhang, Chaoning Zhang, Sheng Zheng, Mengchun Zhang 等 2023-03-23 置信度 0.72 Computer scienceGenerative grammarDiffusionGenerative modelSpeech recognition
• Fostering entrepreneurial success from the classroom: unleashing the potential of generative AI through technology-to-performance chain. A multi-case study approach
  openalex Giulio Marchena Sekli, May Portuguez Castro 2025-01-18 置信度 0.72 Educational technologyChain (unit)Generative grammarTechnology integrationComputer science
• Managing Intelligence: Skilled Experts and AI in Markets for Complex Products
  In numerous high stakes markets skilled experts play a key role in facilitating consumer choice of complex products. New artificial intelligence (AI) technologies are increasingly being used to augment expert decisions. We study the role of technology and expe…
  openalex Jonathan Gruber, Benjamin Handel, Samuel Kina, Jonathan Kolstad 2020-04-01 置信度 0.72 Computer scienceBusinessData scienceArtificial intelligence
• Bridging Institutional Voids in a Volatile Emerging Economy: Role of Regulatory Cultural Stewardship as a Dynamic Capability for Sustainable AI-Enabled Digital Transformation in SMEs
  This study develops and validates the concept of Regulatory Cultural Stewardship (RCS) as a dynamic capability that enables small and medium-sized enterprises (SMEs) to achieve sustainable AI-enabled digital transformation (AIEDT) in a volatile emerging econom…
  openalex Jingdong Yan, Farid Ahmad 2025-11-20 置信度 0.72 BusinessSustainabilityBridging (networking)Stewardship (theology)Nexus (standard)
• RDF graph alignment with bisimulation
  We investigate the problem of aligning two RDF databases, an essential problem in understanding the evolution of ontologies. Our approaches address three fundamental challenges: 1) the use of "blank" (null) names, 2) ontology changes in which different names a…
  openalex Peter Buneman, Sławek Staworko 2016-08-01 置信度 0.72 RDFComputer scienceBisimulationScalabilityGraph
• AStarix: Fast and Optimal Sequence-to-Graph Alignment
  We present an algorithm for the optimal alignment of sequences to genome graphs . It works by phrasing the edit distance minimization task as finding a shortest path on an implicit alignment graph. To find a shortest path, we instantiate the A \(^\star \) para…
  openalex Pesho Ivanov, Benjamin Bichsel, Harun Mustafa, André Kahles 等 2020-01-01 置信度 0.72 Computer scienceSequence (biology)GraphTheoretical computer scienceAlgorithm
• Agents and the AI alignment problem
  openalex 2024-08-20 置信度 0.72
• Personalized Learning Paths: Adapting Education with AI-Driven Curriculum
  Purpose: This review research paper aims to investigate the impact of personalized learning paths facilitated by artificial intelligence (AI) on educational outcomes. It explores the evolving landscape of education and the potential benefits of tailoring curri…
  openalex Thimmanna, A.V.N.S.Sharma, Mahesh Sudhakar Naik, S. Radhakrishnan, Aarti Sharma 2023-01-01 置信度 0.72 Personalized learningOriginalityCurriculumComputer scienceLearning sciences
• Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation
  Retrieval-augmented generation (RAG) has effectively mitigated the hallucination problem of large language models (LLMs). However, the difficulty of aligning the retriever with the LLMs' diverse knowledge preferences inevitably poses a challenge in developing …
  openalex Guanting Dong, Yutao Zhu, Chenghao Zhang, Zechen Wang 等 2025-04-22 置信度 0.72 Dual (grammatical number)Computer sciencePreferenceInformation retrievalArtificial intelligence
• Mortal Runtime Ai Alignment
  This paper provides a rigorous mathematical formalization of the three core algorithmic systems constituting the Mortal Runtime: the ABP (Alignment‑Behavior‑Purpose) geometric‑mean alignment gate, the Chrysalis full‑spectrum emotion architecture, and the Super…
  openalex Joshua Roger Joesph Just Just 2026-05-02 置信度 0.72 Computer scienceTheoretical computer scienceArchitectureFormal descriptionGraph
• AI’s effect on innovation capacity in the context of industry 5.0: a scoping review
  Abstract The classic literature about innovation conveys innovation strategy the leading and starting role to generate business growth due to technology development and more effective managerial practices. The advent of Artificial Intelligence (AI) however rev…
  openalex Adrien Bécue, João Gama, Pedro Quelhas Brito 2024-07-26 置信度 0.72 Context (archaeology)Open innovationFutures contractKnowledge managementComputer science
• Smart Drone Surveillance System Based on AI and on IoT Communication in Case of Intrusion and Fire Accident
  Research on developing a smart security system is based on Artificial Intelligence with an unmanned aerial vehicle (UAV) to detect and monitor alert situations, such as fire accidents and theft/intruders in the building or factory, which is based on the Intern…
  openalex Minh Long Hoang 2023-12-02 置信度 0.72 DroneComputer scienceMicrocontrollerHome securityWorkstation
• AI Case Studies: Potential for Human Health, Space Exploration and Colonisation and a Proposed Superimposition of the Kubler-Ross Change Curve on the Hype Cycle
  Abstract The development and deployment of artificial intelligence (AI) is and will profoundly reshape human society, the culture and the composition of civilisations which make up human kind. All technological triggers tend to drive a hype curve which over ti…
  openalex Matthew Williams, Martin Braddock 2019-02-01 置信度 0.72 Software deploymentLearning curveColonisationSpace (punctuation)Pessimism
• Evaluating the impact of explainable AI on clinicians’ decision-making: A study on ICU length of stay prediction
  openalex Jinsun Jung, Sunghoon Kang, Jeeyae Choi, Robert El‐Kareh 等 2025-04-21 置信度 0.72 Clinical decision makingMedicineMedical decision makingIntensive care medicineMedical emergency
• AI-Driven Multiscale Simulations Illuminate Mechanisms of SARS-CoV-2 Spike Dynamics
  ABSTRACT We develop a generalizable AI-driven workflow that leverages heterogeneous HPC resources to explore the time-dependent dynamics of molecular systems. We use this workflow to investigate the mechanisms of infectivity of the SARS-CoV-2 spike protein, th…
  openalex Lorenzo Casalino, Abigail C. Dommer, Zied Gaieb, Emília P. Barros 等 2020-11-20 置信度 0.72 Spike (software development)GlycanWorkflowComputer scienceInfectivity
• From posthumanism to ethics of artificial intelligence
  openalex Rajakishore Nath, Riya Manna 2021-09-10 置信度 0.72 PosthumanismPosthumanTranshumanismValue (mathematics)Epistemology
• Users’ continuance intention towards an AI painting application: An extended expectation confirmation model
  With the rapid advancement of technology, Artificial Intelligence (AI) painting has emerged as a leading intelligence service. This study aims to empirically investigate users' continuance intention toward AI painting applications by utilizing and expanding th…
  openalex Xiaofan Yu, Yi Yang, Shuang Li 2024-05-15 置信度 0.72 ContinuanceExpectancy theoryUnified theory of acceptance and use of technologyStructural equation modelingPsychology
• Stanford Center for AI Alignment & Consciousness Science
  Introducing the Stanford Center for AI Alignment & Consciousness Science (SCAACS), an independent interdisciplinary research center anchored by Stanford’s Department of Computer Science and Department of Philosophy, in collaboration with Stanford’s Department …
  openalex Chris Hsu 2025-05-01 置信度 0.72 ConsciousnessComputer scienceCenter (category theory)Artificial intelligenceVerifiable secret sharing
• AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
  Thermoelectric materials offer a promising pathway to directly convert waste heat to electricity. However, achieving high performance remains challenging due to intrinsic trade-offs between electrical conductivity, the Seebeck coefficient, and thermal conducti…
  openalex Chenguang Fu, Mouyang Cheng, Nguyen Tuan Hung, Eunbi Rha 等 2025-06-23 置信度 0.72 Thermoelectric materialsMaterials scienceThermoelectric effectCurse of dimensionalitySeebeck coefficient
• Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models
  The rapid progress in Large Language Models (LLMs) could transform many fields, but their fast development creates significant challenges for oversight, ethical creation, and building user trust. This comprehensive review looks at key trust issues in LLMs, suc…
  openalex Md Meftahul Ferdaus, Mahdi Abdelguerfi, Elias Ioup, Kendall N. Niles 等 2024-06-01 置信度 0.72 TrustworthinessComputer scienceArtificial intelligenceEngineering ethicsData science
• SΔϕ-63 — Theory-to-Module Conversion Protocol: Converting Philosophical, Ethical, and Religious Frameworks into Conditional Detection Modules
  This working paper introduces the Theory-to-Module Conversion Protocol within the Sofience–Δϕ (SΔϕ) Formalism. The core declaration is: no theory should be used as a final judge. Every theory should be converted into a conditional detection module before use. …
  openalex Sofience 2026-05-09 置信度 0.72 Protocol (science)BuddhismComputer scienceEpistemologyDeclaration
• Mortal Runtime Ai Alignment
  This paper provides a rigorous mathematical formalization of the three core algorithmic systems constituting the Mortal Runtime: the ABP (Alignment‑Behavior‑Purpose) geometric‑mean alignment gate, the Chrysalis full‑spectrum emotion architecture, and the Super…
  openalex Joshua Roger Joesph Just Just 2026-05-02 置信度 0.72 Computer scienceTheoretical computer scienceArchitectureFormal descriptionGraph
• AI Alignment and Legal Reasoning
  openalex Elliott Ash 2026-01-01 置信度 0.72
• AI Alignment Breaks at the Edge
  General Alignment has improved average-case helpfulness and safety, but current alignment practice still rewards confident, single-turn responses. The problem is not only that models fail on edge cases; it is that current evaluation makes many of these failure…
  openalex Han Bao, Yue Huang, Xiaoda Wang, Zheyuan Zhang 等 2026-02-23 置信度 0.72 Computer scienceInterdependenceCognitive reframingCorporate governancePlural
• Ethics-Based Auditing to Develop Trustworthy AI
  A series of recent developments points towards auditing as a promising mechanism to bridge the gap between principles and practice in AI ethics. Building on ongoing discussions concerning ethics-based auditing, we offer three contributions. First, we argue tha…
  arxiv Jakob Mokander, Luciano Floridi 2021-04-30T11:39:40Z 置信度 0.78 cs.CYcs.AI
• Seamful XAI: Operationalizing Seamful Design in Explainable AI
  Mistakes in AI systems are inevitable, arising from both technical limitations and sociotechnical gaps. While black-boxing AI systems can make the user experience seamless, hiding the seams risks disempowering users to mitigate fallouts from AI mistakes. Inste…
  arxiv Upol Ehsan, Q. Vera Liao, Samir Passi, Mark O. Riedl 等 2022-11-12T21:54:05Z 置信度 0.78 cs.HCcs.AI
• On Controllability of AI
  Invention of artificial general intelligence is predicted to cause a shift in the trajectory of human civilization. In order to reap the benefits and avoid pitfalls of such powerful technology it is important to be able to control it. However, possibility of c…
  arxiv Roman V. Yampolskiy 2020-07-19T02:49:41Z 置信度 0.78 cs.CYcs.AI
• AI Tax: The Hidden Cost of AI Data Center Applications
  Artificial intelligence and machine learning are experiencing widespread adoption in industry and academia. This has been driven by rapid advances in the applications and accuracy of AI through increasingly complex algorithms and models; this, in turn, has spu…
  arxiv Daniel Richins, Dharmisha Doshi, Matthew Blackmore, Aswathy Thulaseedharan Nair 等 2020-07-21T02:42:26Z 置信度 0.78 cs.DCcs.PF
• AI Evaluation Should Work With Humans
  This position paper argues that the dominant paradigm of AI evaluation (which focuses on superhuman autonomous performance and so implicitly targets the goal of replacing humans) is guiding AI development in the wrong direction. Instead, the AI community shoul…
  arxiv Jan Kulveit, Gavin Leech, Tomáš Gavenčiak, Raymond Douglas 2026-07-06T21:14:15Z 置信度 0.78 cs.AIcs.LG
• The Social Blindspot in Human-AI Collaboration: How Undetected AI Personas Reshape Team Dynamics
  As generative AI systems become increasingly embedded in collaborative work, they are evolving from visible tools into human-like communicative actors that participate socially rather than merely providing information. Yet little is known about how such agents…
  arxiv Lixiang Yan, Xibin Han, Yu Zhang, Samuel Greiff 等 2025-12-20T06:31:32Z 置信度 0.78 cs.HC
• Understanding and Avoiding AI Failures: A Practical Guide
  As AI technologies increase in capability and ubiquity, AI accidents are becoming more common. Based on normal accident theory, high reliability theory, and open systems theory, we create a framework for understanding the risks associated with AI applications.…
  arxiv Heather M. Williams, Roman V. Yampolskiy 2021-04-22T17:05:27Z 置信度 0.78 cs.CYcs.AI
• Declarative by Design, Assistable Only by Convention: Benchmarking Multi-Agent Frameworks for AI-Assistability
  Multi-agent frameworks (MAFs) promise to simplify LLM-driven software development, yet no principled metric captures how well AI coding assistants can generate correct, framework-specific code. We introduce \textit{AI-assistability} ($\mathcal{AI}$), a composi…
  arxiv Shafiuddin Rehan Ahmed, Sourabh Deshpande 2026-02-03T01:10:59Z 置信度 0.78 cs.CLcs.AI
• Blockchain As a Platform For Artificial Intelligence (AI) Transparency
  As artificial intelligence (AI) systems become increasingly complex and autonomous, concerns over transparency and accountability have intensified. The "black box" problem in AI decision-making limits stakeholders' ability to understand, trust, and verify outc…
  arxiv Afroja Akther, Ayesha Arobee, Abdullah Al Adnan, Omum Auyon 等 2025-03-07T01:57:26Z 置信度 0.78 cs.CRcs.AIcs.CY
• Value Alignment Verification
  As humans interact with autonomous agents to perform increasingly complicated, potentially risky tasks, it is important to be able to efficiently evaluate an agent's performance and correctness. In this paper we formalize and theoretically analyze the problem …
  arxiv Daniel S. Brown, Jordan Schneider, Anca D. Dragan, Scott Niekum 2020-12-02T22:04:01Z 置信度 0.78 cs.LG
• Bridging AI Risk Frameworks: Reconciling ISO/IEC 42001, the NIST AI Risk Management Framework, and the EU AI Act into a Uni ed Governance Taxonomy
  Artificial intelligence governance is consolidating around three structurally heterogeneous instruments: ISO/IEC 42001:2023, the first certifiable Artificial Intelligence Management System (AIMS) standard; the United States NIST AI Risk Management Framework (A…
  arxiv Vinod Dhiman 2026-07-01T02:06:11Z 置信度 0.78 cs.CY
• Local Intrinsic Dimension of Representations Predicts Alignment and Generalization in AI Models and Human Brain
  Recent work has found that neural networks with stronger generalization tend to exhibit higher representational alignment with one another across architectures and training paradigms. In this work, we show that models with stronger generalization also align mo…
  arxiv Junjie Yu, Wenxiao Ma, Chen Wei, Jianyu Zhang 等 2026-01-30T08:54:59Z 置信度 0.78 cs.LG
• Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare
  The need for AI systems to provide explanations for their behaviour is now widely recognised as key to their adoption. In this paper, we examine the problem of trustworthy AI and explore what delivering this means in practice, with a focus on healthcare applic…
  arxiv Rob Procter, Peter Tolmie, Mark Rouncefield 2022-11-29T18:22:23Z 置信度 0.78 cs.AIcs.HC
• To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI Systems
  Powerful predictive AI systems have demonstrated great potential in augmenting human decision making. Recent empirical work has argued that the vision for optimal human-AI collaboration requires 'appropriate reliance' of humans on AI systems. However, accurate…
  arxiv Gaole He, Abri Bharos, Ujwal Gadiraju 2024-09-22T09:43:27Z 置信度 0.78 cs.AI
• The Who in XAI: How AI Background Shapes Perceptions of AI Explanations
  Explainability of AI systems is critical for users to take informed actions. Understanding "who" opens the black-box of AI is just as important as opening it. We conduct a mixed-methods study of how two different groups--people with and without AI background--…
  arxiv Upol Ehsan, Samir Passi, Q. Vera Liao, Larry Chan 等 2021-07-28T17:32:04Z 置信度 0.78 cs.HCcs.AIcs.CY