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• SCassist: an AI based workflow assistant for single-cell analysis
  SUMMARY: Single-cell RNA sequencing (scRNA-seq) data analysis often involves complex iterative workflow, requiring significant expertise and time. To navigate this complexity, we have developed SCassist, an R package that leverages the power of the large langu…
  openalex Vijayaraj Nagarajan, Guangpu Shi, Samyuktha Arunkumar, Chunhong Liu 等 2025-07-12 置信度 0.72 WorkflowComputer scienceNormalization (sociology)Cluster analysisKey (lock)
• AI for Musical Discovery
  What role should generative AI technology play in music? Long before recent advances, similar questions have been pondered without definitive answers. We argue that the true potential of generative AI lies in cultivating musical discovery, expanding our indivi…
  openalex Nikhil Singh, Manaswi Mishra, Tod Machover 2024-03-27 置信度 0.72 MusicalComputer scienceArtVisual arts
• Without safeguards, AI-Biology integration risks accelerating future pandemics
  Artificial intelligence now shapes the design of biological matter. Protein language models (pLMs), trained on millions of natural sequences, can predict, generate, and optimize functional proteins with minimal human input. When embedded in experimental pipeli…
  openalex D. I. C. Wang, Marian Huot, Zechen Zhang, Kaiyi Jiang 等 2026-01-22 置信度 0.72 Computer scienceRisk analysis (engineering)PandemicCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
• From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems
  Zekun Zhou, Xiaocheng Feng, Lei Huang, Xiachong Feng, Ziyun Song, Ruihan Chen, Liang Zhao, Weitao Ma, Yuxuan Gu, Baoxin Wang, Dayong Wu, Guoping Hu, Ting Liu, Bing Qin. Findings of the Association for Computational Linguistics: EMNLP 2025. 2025.
  openalex Zheng Zhou, Xiaocheng Feng, Lei Huang, Xiachong Feng 等 2025-01-01 置信度 0.72 Computer scienceManagement scienceDecision support systemPsychologyAssociation (psychology)
• Lessons from AI in finance: Governance and compliance in practice
  This article examines the evolution and implementation of AI governance frameworks in financial institutions, focusing on the critical aspects of regulatory compliance and risk management. The article investigates how financial institutions have transformed th…
  openalex Sreeram Reddy Thoom 2025-01-25 置信度 0.72 Compliance (psychology)Corporate governanceBusinessAccountingFinance
• Optimizing Hospital Operational Efficiency Using AI: A Multi-Objective NSGA-II Model for Real-World Medical Data in Syria
  This study presents an AI-driven multi-objective optimization approach using the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) to enhance hospital operational efficiency in Syria. Using real-world data from the Tishreen University Hospital over a 60-day…
  openalex Khder Alakkari, Bushra Ali, Teba Majed Hameed 2025-05-03 置信度 0.72 Real world dataComputer scienceOperations researchData scienceEngineering
• Federated multimodal AI for precision-equitable diabetes care
  Type 2 diabetes mellitus (T2DM) constitutes a rapidly expanding global epidemic whose societal burden is amplified by deep-rooted health inequities. Socio-economic disadvantage, minority ethnicity, low health literacy, and limited access to nutritious food or …
  openalex Bing Bai, Xilin Liu, H. Q. Li 2026-01-16 置信度 0.72 TelemedicineTransformative learningeHealthHealth careTelehealth
• Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer
  Abstract The aggressiveness of prostate cancer is primarily assessed from histopathological data using the Gleason scoring system. Conventional artificial intelligence (AI) approaches can predict Gleason scores, but often lack explainability, which may limit c…
  openalex Gesa Mittmann, Sara Laiouar-Pedari, Hendrik A. Mehrtens, Sarah Haggenmüller 等 2025-10-08 置信度 0.72 Prostate cancerSegmentationGrading (engineering)Artificial intelligenceMedicine
• Whose Personae? Synthetic Persona Experiments in LLM Research and Pathways to Transparency
  Synthetic personae experiments have become a prominent method in Large Language Model alignment research, yet the representativeness and ecological validity of these personae vary considerably between studies. Through a review of 63 peer-reviewed studies publi…
  openalex Jan Batzner, Volker Stocker, Bo Tang, Anusha Natarajan 等 2025-10-15 置信度 0.72 Representativeness heuristicPersonaTransparency (behavior)PersonalizationComputer science
• AI-Supported Gamification in E-Learning: A Systematic Review of Adaptive Architectures and Cognitive Outcomes
  The rapid expansion of artificial intelligence (AI) in digital education has transformed gamification from a motivational strategy into a data-driven, adaptive learning paradigm. This systematic review conceptualizes AI-supported gamification as an information…
  openalex Aray Kassenkhan, Vassiliy Serbin, Roza Beisembekova, A. M. Abshukirova 等 2026-03-12 置信度 0.72 Computer scienceCognitionAdaptive learningFraming (construction)Adaptive hypermedia
• Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates
  LLM-as-a-Judge has been widely applied to evaluate and compare different LLM alignmnet approaches (e.g., RLHF and DPO). However, concerns regarding its reliability have emerged, due to LLM judges' biases and inconsistent decision-making. Previous research has …
  openalex Hui Wei, Shenghua He, Tian Xia, Liu, Fei 等 2024-08-23 置信度 0.72 TemplateComputer scienceProgramming language
• Artificial Intelligence in SMEs: Enhancing Business Functions Through Technologies and Applications
  Artificial intelligence (AI) has significant potential to transform small- and medium-sized enterprises (SMEs), yet its adoption is often hindered by challenges such as limited financial and human resources. This study addresses this issue by investigating the…
  openalex Thang Le Dinh, Manh Chiên Vu, g Thu Tran 2025-05-18 置信度 0.72 Business intelligenceBusinessKnowledge managementProcess managementComputer science
• AI-Driven Automation of Construction Cost Estimation: Integrating BIM with Large Language Models
  The construction industry faces challenges in estimating costs because the processes are time-consuming and involve a high likelihood of making errors. For instance, quantity take-offs are often inaccurate, and there is not a simple way to integrate data from …
  openalex Mohamed Abdelsalam, Amr Ashmawi, Phuong H. Nguyen 2026-01-24 置信度 0.72 Cost estimateAutomationContext (archaeology)Building information modelingComputer science
• AI-Driven Radiology Report Generation for Traumatic Brain Injuries
  openalex Riadh Bouslimi, Houda Trabelsi, Wahiba Ben Abdessalem Karâa, Hana Hedhli 2025-01-30 置信度 0.72 Traumatic brain injuryMedicineRadiologyMedical physicsPsychiatry
• AI ‐Assisted Protein–Peptide Complex Prediction in a Practical Setting
  Accurate prediction of protein-peptide complex structures plays a critical role in structure-based drug design, including antibody design. Most peptide-docking benchmark studies were conducted using crystal structures of protein-peptide complexes; as such, the…
  openalex Darren Y. Wang, Luxuan Wang, Aiqiao Mi, Junmei Wang 2025-05-22 置信度 0.72 Docking (animal)PeptideProtein–ligand dockingSearching the conformational space for dockingComputer science
• AI-enhanced gamification in education: an integrative review of trends, impacts, and corrective role potential
  Abstract While educational gamification successfully drives student engagement, it faces persistent criticism for fostering extrinsic reward dependency, superficial achievement (“fast leveling”), and inequitable learning experiences. This study posits Artifici…
  openalex Priyo Nugroho Adi, Thomas Köhler, Mochamad Bruri Triyono, Priyanto 等 2026-03-11 置信度 0.72 ScopusPsychologyFunction (biology)Corrective feedbackDiscipline
• AI-powered conversational agents and intercultural learning: Insights from Indonesian EFL students
  Globalization has increased the demand for English proficiency and intercultural competence. However, English instruction in Indonesia often focuses on grammar and vocabulary, with limited emphasis on cultural understanding. Although AI tools are commonly used…
  openalex Tommy Hastomo, Utami Widiati, Francisca Maria Ivone, Evynurul Laily Zen 等 2025-09-24 置信度 0.72 IndonesianPedagogyPsychologyGrammarThematic analysis
• AI versus human-generated voices and avatars: rethinking user engagement and cognitive load
  Abstract As AI-generated content becomes increasingly prevalent in educational settings, understanding its impact on students remains an urgent yet underexplored issue. Although recent studies have begun to explore AI-generated videos, few have specifically ex…
  openalex Yidi Zhang, Margarida Lucas, Pedro Bem‐Haja, Luís Pedro 2025-06-18 置信度 0.72 AvatarCognitive loadComputer scienceContext (archaeology)Cognition
• Advancing Decision-Making through AI-Human Collaboration: A Systematic Review and Conceptual Framework
  Abstract The interplay between humans and artificial intelligence (AI) in decision-making has become increasingly intricate and significant. Despite rapid advancements, the literature remains fragmented, with limited integrative frameworks to explain how AI-hu…
  openalex Han Li, Feng Tian 2026-04-03 置信度 0.72 Conceptual frameworkManagement scienceComputer scienceKnowledge managementFoundation (evidence)
• Siyasat: AI-Powered AI Governance Tool to Generate and Improve AI Policies According to Saudi AI Ethics Principles
  The rapid development of artificial intelligence (AI) and growing reliance on generative AI (GenAI) tools such as ChatGPT and Bing Chat have raised concerns about risks, including privacy violations, bias, and discrimination. AI governance is viewed as a solut…
  openalex Dabiah Alboaneen, Shaikha Alhajri, Khloud Alhajri, Muneera Aljalal 等 2025-10-22 置信度 0.72 Corporate governanceConsistency (knowledge bases)Artificial intelligenceData governanceEngineering ethics
• AI-Driven Digital Transformation in Global Healthcare: From Hospital Systems to Pharmacy Benefit Managers
  Artificial Intelligence (AI) is revolutionizing global healthcare by enabling intelligent automation, proactive patient monitoring, and data-driven clinical and operational decisions. This study explores the AI-driven digital transformation across the healthca…
  openalex Mahendran Chinnaiah 2025-01-01 置信度 0.72 PharmacyHealth careHealthcare systemDigital transformationTransformation (genetics)
• AI-driven online adaptive radiotherapy in prostate cancer treatment: considerations on activity time and dosimetric benefits
  AIMS: Recent advances in Radiotherapy have led to the development of online adaptive RT (oART), a procedure addressing inter-fraction anatomical variations. Integrating artificial intelligence (AI) into the oART procedure speeds up the process and reduces user…
  openalex Francesco Preziosi, Althea Boschetti, Francesco Catucci, Claudio Votta 等 2025-07-25 置信度 0.72 MedicineProstate cancerProstateRectumRadiation therapy
• AI-DRIVEN MIS APPLICATIONS IN ENVIRONMENTAL RISK MONITORING: A SYSTEMATIC REVIEW OF PREDICTIVE GEOGRAPHIC INFORMATION SYSTEMS
  This integrative review investigates the convergence of Artificial Intelligence (AI), Geographic Information Systems (GIS), and Management Information Systems (MIS) in advancing environmental risk monitoring through predictive modeling and data-driven decision…
  openalex Subrato Sarker, Faria Jahan 2025-01-01 置信度 0.72 Geographic information systemComputer scienceData scienceRisk analysis (engineering)Environmental resource management
• Awareness of the Impact of IT/AI on Energy Consumption in Enterprises: A Machine Learning-Based Modelling Towards a Sustainable Digital Transformation
  The integration of artificial intelligence (AI) and information technology (IT) is transforming business operations while increasing energy demand. A scalable and nonintrusive method for assessing the adoption of energy-conscious IT governance without direct m…
  openalex Jolanta Słoniec, Monika Kulisz, Marta Małecka-Dobrogowska, Zhadyra Konurbayeva 等 2025-10-23 置信度 0.72 Digital transformationEnergy consumptionSustainabilityComputer scienceSupport vector machine
• Bonding with AI: Investigating the Love Relationships between Humans and AI Companions
  openalex Hang Xu, Zijun Shi, Mengze Shi 2025-01-01 置信度 0.72 PsychologyComputer scienceCognitive science
• Towards The Internet of Smart Clothing: A Review on IoT Wearables and Garments for Creating Intelligent Connected E-Textiles
  Technology has become ubiquitous, it is all around us and is becoming part of us. Togetherwith the rise of the Internet of Things (IoT) paradigm and enabling technologies (e.g., Augmented Reality (AR), Cyber-Physical Systems, Artificial Intelligence (AI), bloc…
  openalex Tiago M. Fernández‐Caramés, Paula Fraga‐Lamas 2018-12-07 置信度 0.72 ClothingWearable computerComputer scienceWearable technologySmart objects
• Algorithmic Management in Hospitality: Examining Hotel Employees’ Attitudes and Work–Life Balance Under AI-Driven HR Systems
  This study investigates hotel employees’ perceptions of AI-driven human resource (HR) management systems within the Accor Group’s properties across three major European cities: Paris, Berlin, and Amsterdam. These diverse urban contexts, spanning a broad portfo…
  openalex Milena Turčinović, Aleksandra Vujko, Vuk Mirčetić 2025-10-04 置信度 0.72 Human resource managementStructural equation modelingFlexibility (engineering)Human resourcesMarketing
• MoDiPO: text-to-motion alignment via AI-feedback-driven direct preference optimization
  Diffusion Models have revolutionized the field of human motion generation by offering exceptional generation quality and fine-grained controllability through natural language conditioning. Their inherent stochasticity, that is the ability to generate various o…
  openalex Massimiliano Pappa, Luca Collorone, Giovanni Ficarra, Indro Spinelli 等 2026-07-03 置信度 0.72 PreferenceComputer scienceMotion (physics)Artificial intelligenceMathematics
• Soft Robotic Grippers
  Advances in soft robotics, materials science, and stretchable electronics have enabled rapid progress in soft grippers. Here, a critical overview of soft robotic grippers is presented, covering different material sets, physical principles, and device architect…
  openalex Jun Shintake, Vito Cacucciolo, Dario Floreano, Herbert Shea 2018-05-07 置信度 0.72 GrippersSoft roboticsMaterials scienceGRASPMiniaturization
• AI vs. human: exploring the potential of generative AI as a feedback tool to support ideation in design education
  ABSTRACT: This paper investigates the role of generative Artificial Intelligence (AI) in academic settings, focusing on its effectiveness in providing feedback during the brainstorming phase of the design process. A controlled study with 25 students (n=25) com…
  openalex Tanja Katharina Schmitt-Fumian, Selina Tauscher, Katja Thoring 2025-08-01 置信度 0.72 IdeationGenerative grammarPsychologyComputer scienceArtificial intelligence
• Generative AI for automatic topic labelling
  Topic modelling has become a prominent tool for the study of scientific fields, as they allow for a large-scale interpretation of research trends. Nevertheless, the output of these models is structured as a list of keywords, which requires a manual interpretat…
  openalex Diego Kozlowski, Carolina Pradier, Pierre Benz 2026-06-18 置信度 0.72 LabellingGenerative grammarComputer scienceArtificial intelligenceNatural language processing
• The Dark Side of AI in Insurance: A Systematic Review of Mechanisms Linking AI Design Features to Consumer Harm
  ABSTRACT Artificial intelligence (AI) is reshaping insurance services, yet it introduces significant consumer risks such as privacy erosion, service exclusion, and trust deterioration. This systematic review clarifies how specific AI features—algorithmic opaci…
  openalex Zhangwei Zheng, Qin Lingda Tan, Xiaowei Zheng, Yaliu Yang 2025-11-13 置信度 0.72 Great RiftHarmDisengagement theoryCorporate governanceConsumer behaviour
• BePilot: An AI Programming Assistant for Compiler Backend Development
  Compiler backends are tasked with generating executable machine code for various processors. As the diversity of processors continues to grow, it is imperative for programmers to tailor specific compiler backends to accommodate each one. However, compiler back…
  openalex Ming Zhong, Xin Sun, Fang Lv, Lulin Wang 等 2025-08-28 置信度 0.72 Computer scienceCompilerProgramming languageSoftware engineering
• Explainable AI in Credit Decisioning: Balancing Accuracy and Transparency
  The integration of artificial intelligence (AI) into credit decisioning has significantly enhanced the accuracy and efficiency of credit risk assessment, enabling financial institutions to process vast volumes of applicant data and detect complex patterns beyo…
  openalex Ejielo Ogbuefi, Stephen Ehilenomen Aifuwa, Jennifer Olatunde-Thorpe, David Akokodaripon 2025-10-09 置信度 0.72 Transparency (behavior)Counterfactual thinkingContext (archaeology)Credit riskProcess (computing)
• Creativeable: Leveraging AI for Personalized Creativity Enhancement
  Creativity is central to innovation and problem-solving, yet scalable training solutions remain limited. This study evaluates Creativeable, an AI-powered creativity training program that provides automated feedback and adjusts creative story writing task diffi…
  openalex Ariel Kreisberg-Nitzav, Yoed N. Kenett 2025-10-01 置信度 0.72 CreativityFluencyTask (project management)Computer scienceConstant (computer programming)
• Leadership in the AI Era: Navigating and shaping the future of organizational guidance
  The advent of Artificial Intelligence (AI) has catalyzed a significant transformation in organizational leadership paradigms. Traditional leadership theories, although foundational, must evolve to address the challenges and opportunities presented by AI integr…
  openalex Varun Pandey 2025-06-30 置信度 0.72 Political scienceManagementPublic relationsKnowledge managementEngineering ethics
• AI-Generated Abstract Expressionism Inspiring Creativity Through Ismail A Mageed's Internal Monologues in Poetic Form
  Artificial Intelligence (AI) has revolutionized the creative process, allowing for novel ways of artistic expression. This paper focuses on the intersection of Abstract Expressionism and AI-generated imagery, exploring how poetic prompts inspire unique visual …
  openalex Ismail A Mageed, Abdul Raheem Nazir 2025-01-06 置信度 0.72 CreativityPoetryLiteratureArtPsychology
• Negotiating Digital Identities with AI Companions: Motivations, Strategies, and Emotional Outcomes
  AI companions enable deep emotional relationships by engaging a user’s sense of identity, but they also pose risks like unhealthy emotional dependence. Mitigating these risks requires first understanding the underlying process of identity construction and nego…
  openalex Renkai Ma, Shuo Niu, Lingyao Li, Alex Hirth 等 2026-04-13 置信度 0.72 NegotiationIdentity (music)Thematic analysisIdentity negotiationSocial psychology
• Ethical Challenges Associated with the Use of Artificial Intelligence in University Education
  The integration of Artificial Intelligence (AI) within higher education has given rise to substantial ethical concerns and challenges, including concerns regarding data privacy, equity in educational resources, and algorithmic biases. These factors have the po…
  openalex Yuri Reina Marín, Omer Cruz, Angélica María Carrasco Rituay, Katia Araceli Guimac Llanos 等 2025-07-01 置信度 0.72 Engineering ethicsPsychologyHigher educationCognitive scienceArtificial intelligence
• Beyond Detection: How Students Use—and Hide—AI in Online Assessments and What Authentic Tasks Can Do About It
  Abstract As AI tools such as ChatGPT and CoPilot become increasingly common in higher education, universities must reconsider how assessments are designed, monitored, and supported. This small case study investigates how students use AI in online assessments, …
  openalex Oleg Kirsanov, Lovleen Kushwah, Geethanjali Selvaretnam 2025-10-24 置信度 0.72 AmbiguityPoint (geometry)PsychologyExploratory researchOnline assessment
• AI Red-Teaming Is a Sociotechnical Problem
  As generative AI technologies find more and more real-world applications, the importance of testing their performance and safety is paramount. “Red-teaming” has quickly become the primary approach to testing AI models—prioritized by AI companies, and enshrined…
  openalex Tarleton Gillespie, Ryland Shaw, Mary L. Gray, Jina Suh 2026-01-21 置信度 0.72 Sociotechnical systemComputer sciencePolitical scienceKnowledge management
• AI-Driven Decision Support Framework for Preventing Medical Equipment Failure and Enhancing Patient Safety: A New Perspective
  Medical equipment failures pose serious risks to patient safety and healthcare system efficiency. Although AI-based predictive maintenance (PdM) has shown promise in other industries, its application in healthcare remains fragmented and insufficiently aligned …
  openalex Sarah Alkhatib, Rateb Katmah, Doua Kosaji, Syed Usama Bin Afzal 等 2025-10-01 置信度 0.72 Decision support systemRisk analysis (engineering)Perspective (graphical)Health careStakeholder
• Laser‐Induced Breakdown Spectroscopy (LIBS) for Rapid Food Safety Monitoring: Advancements, Applications, and Future Directions
  ABSTRACT This systematic review evaluates the principles, advancements, and applications of LIBS across diverse food matrices, synthesizing findings from 10 peer‐reviewed studies identified through rigorous PRISMA‐guided searches in ScienceDirect, Scopus, and …
  openalex Mohammad Mehdizadeh, Anahita Omidi, Theophilus M. Ikegwu, Chioke A. Okolo 等 2025-09-17 置信度 0.72 Risk analysis (engineering)Hazardous wasteSustainabilityBiochemical engineeringComputer science
• Machine learning for post-diploma educational and career guidance: a scoping review in AI-driven decision support systems
  The increasing complexity of career decision-making, shaped by rapid technological advancements and evolving job markets, highlights the need for more responsive and data-informed post-diploma guidance. Machine learning (ML), a core component of artificial int…
  openalex Flavio Manganello, Elisa Rasca, Alberto Villa, A. Maddalena 等 2025-05-30 置信度 0.72 Computer scienceDecision support systemEngineering managementArtificial intelligenceKnowledge management
• Teachers’ perspectives on AI integration in K-12 education: challenges, opportunities, and preliminary assessment model – a systematic review
  The integration of Artificial Intelligence (AI) into K-12 education holds significant promise for transforming teaching and learning processes. Central to this transformation are teachers’ perspectives, which play a key role in shaping the adoption and effecti…
  openalex Mohd Kashif, Mohammad Ammar, Abdellatif Sellami, Thomas K.F. Chiu 等 2025-12-31 置信度 0.72 Computer scienceArtificial intelligenceManagement scienceKnowledge managementData science
• Analysis of AI and Teacher Feedback in Grading Students’ Activities
  Artificial Intelligence has recently emerged as an important topic in the educational landscape and how it affects teachers’ professional knowledge. We investigated the alignment of Artificial Intelligence (AI) specifically ChatGPT in providing feedback on stu…
  openalex Mario Mariano, Javilyn Joy Taborete, Andrew Gampal, Aragorn Dawisan 等 2025-08-30 置信度 0.72 RubricGrading (engineering)PsychologyMathematics educationEmotional intelligence
• Formative feedback across sources: Student perceptions and writing outcomes with instructor, peer, and AI-generated feedback
  Abstract Previous research has highlighted the critical role of instructor and peer feedback in developing students’ writing. Although artificial intelligence (AI)-generated feedback, such as that from ChatGPT, may not yet match the depth of human evaluators, …
  openalex Albert W. Li, Penelope Collins 2026-01-30 置信度 0.72 Peer feedbackFormative assessmentPsychologyHigher educationCorrective feedback
• AI and disabled people’s independent living: a framework for analysis
  Abstract Artificial intelligence (AI) increasingly reshapes social participation, yet its implications for disabled people’s opportunities to live independently and be included in the community—as stipulated in the United Nations Convention on the Rights of Pe…
  openalex Teodor Mladenov 2025-09-30 置信度 0.72 Convention on the Rights of Persons with DisabilitiesSociotechnical systemKey (lock)Bridge (graph theory)Social model of disability
• Innovative Approach for Diabetic Retinopathy Severity Classification: An AI-Powered Tool using CNN-Transformer Fusion
  Background: Diabetic retinopathy (DR), a diabetes complication, causes blindness by damaging retinal blood vessels. While deep learning has advanced DR diagnosis, many models face issues like inconsistent performance, limited datasets, and poor interpretabilit…
  openalex Khosro Rezaee, Fateme Farnami 2025-01-01 置信度 0.72 Diabetic retinopathyTransformerComputer scienceFusionArtificial intelligence
• An Artificial Agent for Robust Image Registration
  3-D image registration, which involves aligning two or more images, is a critical step in a variety of medical applications from diagnosis to therapy. Image registration is commonly performed by optimizing an image matching metric as a cost function. However t…
  openalex Rui Liao, Shun Miao, Pierre de Tournemire, Saša Grbić 等 2017-02-12 置信度 0.72 Image registrationArtificial intelligenceComputer scienceRobustness (evolution)Margin (machine learning)
• Development of a BIM-based AI-driven matching tool for LCA datasets
  Abstract The construction sector significantly contributes to environmental issues and often relies on Life Cycle Assessment (LCA) for the quantification and optimization of its environmental impacts. One of the most time- and labour-intensive tasks in LCA is …
  openalex Dino Petrosa, Pamela Haverkamp, Jana Gerta Backes, David Crampen 等 2025-11-13 置信度 0.72 WorkflowSustainabilityComputer scienceProcess (computing)Matching (statistics)
• 'HistoChat': Leveraging AI-Driven Historical Personas for Personalized and Engaging Middle School History Education
  Traditional history education often fails to cultivate historical empathy due to rigid curricula and limited opportunities for personalized, emotionally resonant engagement. We explore the potential of LLM-based historical personas to address these gaps by ena…
  openalex Yeon Soo Kim, Hyun Seung Moon, Sangsu Lee, Tak Yeon Lee 2025-10-16 置信度 0.72 PersonaEmpathyDialogicFormative assessmentCurriculum
• Selecting arbitrators by AI: theoretical analysis and institutional responses
  Abstract The rapid development and widespread application of artificial intelligence (AI) are profoundly shaping the evolution of dispute resolution mechanisms, including arbitration, while offering novel solutions to longstanding challenges in the current arb…
  openalex Shuo Feng, Wei Shen 2025-10-27 置信度 0.72 ArbitrationNormativeLaw and economicsRationalityLegislation
• Towards Intelligent Project Management in the Finance Sector: A Scoping Review of AI Use Cases
  The integration of Artificial Intelligence (AI) into Project Management (PM) is gaining momentum as organisations seek more adaptive tools to manage complexity in the industry 4.0 era. While traditional methods like Gantt Charts and Earned Value Management (EV…
  openalex Styve L. Ndjonkin Simen, Simon P. Philbin, Bidur Khanal, Gordon Hunter 2025-10-20 置信度 0.72 Gantt chartComputer scienceProject managementKnowledge managementKnowledge base
• WatAI: AI-Based System for Real-Time Flow Monitoring and Demand Prediction in Water Networks
  Efficient monitoring and control of water demand are crucial for sustainable water resource management. Bogotá, Colombia, currently faces supply rationing due to climate change and ineffective public policies. This study presents WatAI (Water + AI), an AI-powe…
  openalex Edgar Orlando Ladino-Moreno 2025-07-01 置信度 0.72 Real-time computingAdaptabilityComputer scienceArtificial neural networkAnomaly detection
• Fanar: An Arabic-Centric Multimodal Generative AI Platform
  We present Fanar, a platform for Arabic-centric multimodal generative AI systems, that supports language, speech and image generation tasks. At the heart of Fanar are Fanar Star and Fanar Prime, two highly capable Arabic Large Language Models (LLMs) that are b…
  openalex Fanar Team, Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam 等 2025-01-18 置信度 0.72 ArabicGenerative grammarComputer scienceArtificial intelligenceNatural language processing
• Toward Generative AI-Based Intrusion Detection Systems for the Internet of Vehicles (IoV)
  The increasing complexity and scale of Internet of Vehicles (IoV) networks pose significant security challenges, necessitating the development of advanced intrusion detection systems (IDS). Traditional IDS approaches, such as rule-based and signature-based met…
  openalex I Mahmoudi, Djallel Eddine Boubiche, Samir Athmani, Homero Toral-Cruz 等 2025-07-17 置信度 0.72 Computer scienceAdaptabilityIntrusion detection systemAdversarial systemGenerative grammar
• GPT-4 and Beyond : Advancements in AI Language Models
  This comprehensive article explores the groundbreaking advancements and implications of GPT-4, the latest iteration in the Generative Pre-trained Transformer series. It delves into GPT-4's enhanced comprehension and contextual awareness, multilingual proficien…
  openalex Venkata Subrahmanya Vijaykumar Jandhyala 2024-10-07 置信度 0.72 Computer scienceNatural language processingLinguisticsPhilosophy
• Frontiers of Artificial Intelligence for Personalized Learning in Higher Education: A Systematic Review of Leading Articles
  Artificial Intelligence (AI) is reshaping higher education by enabling personalized learning (PL) and enhancing teaching and learning practices. To examine global research trends, pedagogical paradigms, equity and sustainability considerations, instructional s…
  openalex Jun Peng, Yue Li 2025-09-16 置信度 0.72 Transformative learningComputer scienceArtificial intelligencePersonalized learningEquity (law)
• The Rise of Autonomous AI Agents: Automating Complex Tasks
  The emergence of autonomous AI agents represents a transformative leap in the evolution of artificial intelligence. These intelligent systems, capable of independently perceiving environments, making decisions, learning from experience, and executing multi-ste…
  openalex Aiqiu Zuo 2025-07-11 置信度 0.72 Transformative learningComputer scienceAutomationAutonomous agentArtificial intelligence
• Enhancing system resilience to climate change through artificial intelligence: a systematic literature review
  The growing urgency of climate change necessitates innovative strategies to enhance system resilience across many sectors. Artificial Intelligence (AI) emerges as a transformative tool in this regard, yet existing research remains fragmented across sectors and…
  openalex Rym Ayadi, Yeganeh Forouheshfar, Omid Moghadas 2025-08-18 置信度 0.72 Resilience (materials science)Climate changeEnvironmental resource managementSystematic reviewPsychology
• AI-enhanced nudging in public policy: why to worry and how to respond
  Abstract What role can artificial intelligence (AI) play in enhancing public policy nudges and the extent to which these help people achieve their own goals? Can it help mitigate or even overcome the challenges that nudgers face in this respect? This paper dis…
  openalex Stefano Calboli, Bart Engelen 2025-06-21 置信度 0.72 Nudge theoryPaternalismSafeguardingAgency (philosophy)Autonomy
• AI-Based Predictive Models for Cardiogenic Shock in STEMI: Real-World Data for Early Risk Assessment and Prognostic Insights
  Background: Cardiogenic shock (CS) is a life-threatening complication of ST-elevation myocardial infarction (STEMI) and remains the leading cause of in-hospital mortality, with rates ranging from 5 to 10% despite advances in reperfusion strategies. Early ident…
  openalex Elena Stamate, Anisia-Luiza Culea-Florescu, Mihaela Miron, Alin Ionut Piraianu 等 2025-05-25 置信度 0.72 MedicineCardiogenic shockInternal medicineCardiologyIntensive care medicine
• Transforming Healthcare in Saudi Arabia: A Comprehensive Evaluation of Vision 2030’s Impact
  This comprehensive rapid review meticulously evaluates the transformative influence of Vision 2030 on the healthcare sector in Saudi Arabia. Vision 2030, with its broad scope, targets an extensive overhaul of healthcare through infrastructure enhancement, digi…
  openalex Zakaria A. Mani, Krzysztof Goniewicz 2024-04-15 置信度 0.72 Health careTransformative learningExcellenceScope (computer science)Empowerment
• Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
  Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Taha Kass-Hout, Furong Huang, Cao Xiao. Findings of the Association for Computational Linguistics: NAACL 2025. 2025.
  openalex Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou 等 2025-01-01 置信度 0.72 Computer scienceModality (human–computer interaction)Artificial intelligenceNatural language processingLanguage understanding
• Supporting Reflective AI Use in Education: A Fuzzy-Explainable Model for Identifying Cognitive Risk Profiles
  Generative AI tools are becoming increasingly common in education. They make many tasks easier, but they also raise questions about how students interact with information and whether their ability to think critically might be affected. Although these tools are…
  openalex Gabriel Marín Díaz 2025-07-18 置信度 0.72 Computer scienceCognitionProcess (computing)HierarchyAutomation
• Addressing Bias in LLMs: Strategies and Application to Fair AI-based Recruitment
  The use of language technologies in high-stake settings is increasing in recent years, mostly motivated by the success of Large Language Models (LLMs). However, despite the great performance of LLMs, they are are susceptible to ethical concerns, such as demogr…
  openalex Alejandro Peña, Julián Fiérrez, Aythami Morales, Gonzalo Mancera 等 2025-10-15 置信度 0.72 Computer sciencePipeline (software)Work (physics)Risk analysis (engineering)Gender bias
• Travel Virtual Assistant or Untrusted Advisor? Developing a Typology of Resistance to AI ‐Generated Travel Advice
  ABSTRACT Many travelers remain hesitant to rely on generative AI for travel planning, despite its growing presence in tourism services. While most existing studies emphasize adoption, this study shifts attention to the relatively underexplored issue of resista…
  openalex Siamak Seyfi, Abolfazl Siyamiyan Gorji, Tan Vo‐Thanh, Mustafeed Zaman 2025-07-01 置信度 0.72 Advice (programming)TypologyTourismResistance (ecology)Advertising
• AI and algorithmic literacy among health workers: a scoping review through a digital health literacy lens
  Introduction: Artificial intelligence (AI) and algorithmic systems influence health workers' access, interpretation, and action on clinical and public health information, positioning them as intermediaries between algorithmically mediated outputs and patients,…
  openalex Ihoghosa Iyamu, Carly Wheelans, Devon Haag, Ian Roe 等 2026-04-23 置信度 0.72 Health literacyOperationalizationLiteracyComputer sciencePublic health
• Sustainable Swarm Intelligence: Assessing Carbon-Aware Optimization in High-Performance AI Systems
  Carbon-aware AI demands clear links between algorithmic choices and verified emission outcomes. This study measures and steers the carbon footprint of swarm-based optimization in HPC by coupling a job-level Emission Impact Metric with sub-minute power and grid…
  openalex Vasileios Alevizos, Nikitas Gerolimos, Helen C. Leligou, Giorgos Hompis 等 2025-10-21 置信度 0.72 Particle swarm optimizationMetric (unit)Mathematical optimizationComputer scienceScale (ratio)
• SafeLawBench: Towards Safe Alignment of Large Language Models
  With the growing prevalence of large language models (LLMs), the safety of LLMs has raised significant concerns.However, there is still a lack of definitive standards for evaluating their safety due to the subjective nature of current safety benchmarks.To addr…
  openalex Chuxue Cao, Zhu Han, Jiaming Ji, Qichao Sun 等 2025-01-01 置信度 0.72 Computer scienceProgramming languageNatural language processing
• Advances in Artificial Intelligence (AI) Models and Generative Algorithms Represent a New Paradigm for Genomics Research
  Genomics has developed in step with progress in computing. As computational capabilities have grown, analyses have expanded from simple statistics to artificial intelligence (AI)-based approaches within genomics. The decline in sequencing costs has led to the …
  openalex Du Hyeong Lee, Eun Gyung Park, Yun Ju Lee, Hyeon-su Jeong 等 2025-11-11 置信度 0.72 GenomicsComputer scienceArtificial intelligenceComputational genomicsFunctional genomics
• RAGMed: A RAG-Based Medical AI Assistant for Improving Healthcare Delivery
  Electronic Health Records (EHRs) have enhanced access to medical information but have also introduced challenges for healthcare providers, such as increased documentation workload and reduced face-to-face interaction with patients. To mitigate these issues, we…
  openalex Rajvardhan Patil, Manideep Abbidi, Sherri Fannon 2025-09-24 置信度 0.72 WorkloadDocumentationComputer scienceHealth careContext (archaeology)
• SVC 2025: The First Multimodal Deception Detection Challenge
  Deception detection is a critical task in real-world applications such as security screening, fraud prevention, and credibility assessment. While deep learning methods have shown promise in surpassing human-level performance, their effectiveness often depends …
  openalex Xun Lin, Xiaobao Guo, Taorui Wang, Yingjie Ma 等 2025-10-27 置信度 0.72 DeceptionCredibilityComputer scienceArtificial intelligenceBaseline (sea)
• Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models
  Uncertainty quantification is essential for assessing the reliability and trustworthiness of modern AI systems.Among existing approaches, verbalized uncertainty, where models express their confidence through natural language, has emerged as a lightweight and i…
  openalex Weihao Xuan, Qingcheng Zeng, Heli Qi, Junjue Wang 等 2025-01-01 置信度 0.72 Computer scienceCalibrationArtificial intelligencePsychologyFeature (linguistics)
• Transformative role of generative AI in marketing content creation and brand engagement strategies
  Generative AI has emerged as a pivotal force reshaping the marketing landscape by revolutionizing content creation and customer engagement mechanisms. This research article examines how AI-driven tools are transforming traditional marketing approaches by enabl…
  openalex Victoria Kujore, Aderonke Adebayo, Oluwabukola Sambakiu, Balogun Segun Segbenu 2025-06-07 置信度 0.72 Transformative learningGenerative grammarMarketingBusinessGenerative model
• The Role of Digital Tourism Platforms in Advancing Sustainable Development Goals in the Industry 4.0 Era
  The intersection of digitalization and sustainability is reshaping the tourism industry, with digital platforms playing a transformative role in optimizing travel experiences while simultaneously influencing economic inclusivity, labor dynamics, and environmen…
  openalex Adelina Zeqiri, Adel Ben Youssef, Teja Maherzi Zahar 2025-04-14 置信度 0.72 TourismSustainable developmentBusinessDigital eraSustainable tourism
• Leveraging transformers and explainable AI for Alzheimer’s disease interpretability
  Alzheimer's disease (AD) is a progressive brain ailment that causes memory loss, cognitive decline, and behavioral changes. It is quite concerning that one in nine adults over the age of 65 have AD. Currently there is almost no cure for AD except very few expe…
  openalex Humaira Anzum, Nabil Sadd Sammo, Shamim Akhter 2025-05-23 置信度 0.72 InterpretabilityComputer scienceMagnetic resonance imagingArtificial intelligenceMachine learning
• Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends
  Specialized hardware accelerators aid the rapid advancement of artificial intelligence (AI), and their efficiency impacts AI's environmental sustainability. This study presents the first publication of a comprehensive AI accelerator life-cycle assessment (LCA)…
  openalex Ian Schneider, Huiyan Xu, Stephan Benecke, David A. Patterson 等 2025-02-01 置信度 0.72 Computer scienceEnvironmental science
• Modeling the dynamics of misinformation spread: a multi-scenario analysis incorporating user awareness and generative AI impact
  The proliferation of misinformation on social media threatens public trust, public health, and democratic processes. We propose three models that analyze fake news propagation and evaluate intervention strategies. Grounded in epidemiological dynamics, the mode…
  openalex Kurunandan Jain, Krishnashree Achuthan 2025-10-03 置信度 0.72 MisinformationGenerative grammarGenerative modelComputer scienceSocial media
• A Decade of Artificial Intelligence (AI) and Geography: Bibliometric Insights with AI-Powered Analysis
  In the last decade, there has been a significant increase in the number of geography studies utilizing artificial intelligence (AI) applications and algorithms. Despite this increase, what is known about related studies is limited. The study aims to re-veal th…
  openalex Burak Oğlakcı, Alper Uzun 2025-11-24 置信度 0.72 Data scienceHuman geographyArtificial intelligenceField (mathematics)Computer science
• Bridging consciousness and AI: ChatGPT-assisted phenomenological analysis
  Background: Mixed-method studies require adaptation to the era of big data in quantitative research, seeking scalable approaches that can analyze extensive qualitative datasets while preserving the depth and nuance inherent in the study of consciousness on a b…
  openalex David Martínez‐Pernía, Alejandro Troncoso, Sergio E. Chaigneau, Nicolás Marchant 等 2025-05-29 置信度 0.72 Bridging (networking)PsychologyConsciousnessInterpretative phenomenological analysisPsychoanalysis
• NeuroBlend-3: Hybrid Deep and Machine Learning Framework with Explainable AI for Multi-class Brain Tumor Detection Using MRI Scans
  Brain tumors are complex and potentially life-threatening conditions that require accurate and timely diagnosis. This study proposes NeuroBlend-3, an explainable and hybrid artificial intelligence (AI) framework for multi-class brain tumor classification using…
  openalex Mohammed Ibrahim Hussain, Safiul Haque Chowdhury, Muhammad Minoar Hossain, Mohammad Saiful Islam Mamun 2025-11-04 置信度 0.72 Artificial intelligenceComputer sciencePreprocessorConvolutional neural networkPattern recognition (psychology)
• Guidelines for Bibliometric‐Systematic Literature Reviews: 10 steps to combine analysis, synthesis and theory development
  Abstract The steady increase in academic production has been paralleled by a surge in the number of bibliometric and systematic literature reviews (SLRs) published. Over the years, scholars began to combine bibliometric analyses with SLRs. However, such combin…
  openalex Giacomo Marzi, Marco Balzano, Andrea Caputo, Massimiliano Matteo Pellegrini 2024-10-07 置信度 0.72 EpistemologySociologyRegional scienceManagement scienceEconomics
• Cross-National Findings of Factors Affecting the Acceptance of AI-Based Sustainable Fintech
  This study utilized mixed (qualitative and quantitative) methods to discover the current research trends for AI in sustainable Fintech and to validate a research model through empirical analysis. The primary purpose of this research is to explore the factors i…
  openalex Sujin Park, Sung‐Joon Yoon 2024-12-25 置信度 0.72 Business
• The Organizational Transmission of AI: The Role of Managers on AI Adoption and Impact
  Using longitudinal data from the Gallup Panel with roughly 10,000 U.S. respondents, surveyed annually between 2023 and 2025, we document new patterns in the heterogeneous adoption of generative AI and its "organizational transmission" within firms. We show tha…
  openalex Christos Makridis 2026-04-24 置信度 0.72 Generative grammarKnowledge managementBusinessComputer scienceArtificial intelligence
• PearlAI: Hyperpersonalization and Hyperlocalization as New AI Affordances in Basic Education
  Persistent challenges of engagement, equity, and learning outcomes continue to undermine basic education across Africa and other resource-constrained regions. Traditional curricula and teaching models are often generic, culturally distant, and unable to addres…
  openalex Akinfolarin Seun, Abisoye Ajayi, Ruth Adesola Elumilade, Mforchive Abdoulaye Bobga 等 2024-12-25 置信度 0.72 AffordanceTransformative learningOperationalizationCurriculumSociology
• Designing Resilient AI Architectures for Predictive Energy Finance Systems Amid Data Sovereignty, Adversarial Threats, and Policy Volatility
  In an era where the intersection of artificial intelligence (AI) and energy finance drives critical infrastructure decision-making, designing resilient AI architectures has become imperative.Predictive energy finance systems-spanning investment forecasting, ca…
  openalex Obehi Irekponor 2025-06-01 置信度 0.72 Adversarial systemVolatility (finance)SovereigntyEconomicsComputer science
• How AI Helps to Compile Human Intelligence: An Empirical Study of Emerging Augmented Intelligence for Medical Image Scanning
  ABSTRACT Artificial intelligence (AI) is advancing continuously. However, full delegation to an AI application is often not possible or desirable due to technical limitations, ethical concerns or legal issues. Augmented intelligence systems, where humans and A…
  openalex Mechthild Pieper, Rob Gleasure 2025-01-21 置信度 0.72 Human intelligenceArtificial intelligenceComputer scienceDelegationIntelligence cycle
• AI capabilities and sustainable competitiveness in logistics: a mediated moderation model of resilience, government support and intervention
  Purpose Grounded in dynamic capabilities theory and institutional theory, this study investigates how AI capabilities enhance organisational resilience and sustainable competitiveness in the logistics sector. Moreover, it explores the role of government instit…
  openalex Christine Nya-Ling Tan, David Liu, Junpeng Dou, Henry F.L. Chung 2025-12-29 置信度 0.72 Government (linguistics)Resilience (materials science)BusinessIntervention (counseling)Economic interventionism
• Reconfiguring competitive advantage: a resource dynamic framework for generative AI adoption in digital content marketing
  Purpose This multidisciplinary study investigates the transformative role of Generative Artificial Intelligence (Gen-AI) in the digital content marketing (DCM) domain through the lens of the Resource-Based View (RBV). The research examines Gen-AI's impact on D…
  openalex G. Lanfranchi, Alessandra Cioli, Andrea Amanti, Luca Marinelli 2025-09-20 置信度 0.72 Competitor analysisCompetitive advantageKnowledge managementResource-based viewPersonalization
• Navigating the decision‐making landscape of AI in risk finance: Techno‐accountability unveiled
  The integration of artificial intelligence (AI) systems has ushered in a profound transformation. This conversion is marked by revolutionary extrapolative capabilities, a shift toward data-centric decision-making processes, and the enhancement of tools for man…
  openalex Helmi Issa, Roy Dakroub, Hussein Lakkis, Jad Jaber 2024-05-24 置信度 0.72 AccountabilityStressorIdentification (biology)PsychologyRisk analysis (engineering)
• Self-Augmented Preference Alignment for Sycophancy Reduction in LLMs
  Sycophancy causes models to produce answers that cater to user expectations rather than providing truthful responses.Sycophantic behavior in models can erode user trust by creating a perception of dishonesty or bias.This lack of authenticity may lead users to …
  openalex C Chen, Hen-Hsen Huang, Hsin‐Hsi Chen 2025-01-01 置信度 0.72 PreferenceReduction (mathematics)EconomicsComputer scienceEconometrics
• Can AI modeling of protein structures distinguish between sensor and helper NLR immune receptors?
  Nucleotide binding and leucine-rich repeat (NLR) proteins are intracellular immune receptors that occur across all kingdoms of life but are particularly highly diversified in plants (Barragan & Weigel, 2021). In plants, NLRs that carry a coiled-coil (CC) domai…
  openalex AmirAli Toghani, Raoul Frijters, Tolga O. Bozkurt, Ryohei Terauchi 等 2025-07-15 置信度 0.72 ReceptorImmune systemImmune receptorChemistryBiology
• Challenges in data-driven geospatial modeling for environmental research and practice
  Machine learning-based geospatial applications offer unique opportunities for environmental monitoring due to domains and scales adaptability and computational efficiency. However, the specificity of environmental data introduces biases in straightforward impl…
  openalex Diana Koldasbayeva, Polina Tregubova, Mikhail Gasanov, Alexey Zaytsev 等 2024-12-19 置信度 0.72 Geospatial analysisData scienceComputer scienceComputational biologyGeography
• Aspects and Implementation of Pharmaceutical Quality by Design from Conceptual Frameworks to Industrial Applications
  Background/Objectives: Quality by Design (QbD) has revolutionized pharmaceutical development by transitioning from reactive quality testing to proactive, science-driven methodologies. Rooted in ICH Q8–Q11 guidelines, QbD emphasizes defining Critical Quality At…
  openalex Shiwei Yang, HU Xing-ming, Jinmiao Zhu, Bin Zheng 等 2025-05-08 置信度 0.72 Quality by DesignWorkflowCritical quality attributesComputer scienceRisk analysis (engineering)
• Generative AI for Geospatial Analysis: Fine-Tuning ChatGPT to Convert Natural Language into Python-Based Geospatial Computations
  This study investigates the potential of fine-tuned large language models (LLMs) to enhance geospatial intelligence by translating natural language queries into executable Python code. Traditional GIS workflows, while effective, often lack usability and scalab…
  openalex Zachary Sherman, Sandesh Sharma Dulal, Jin-Hee Cho, Mengxi Zhang 等 2025-08-18 置信度 0.72 Geospatial analysisPython (programming language)Computer scienceGenerative grammarComputation
• Robots and AI are not one moral category: why the distinction matters for ethical and conscious systems
  Calls that pair ethical and conscious AI with ethical and conscious robots may feel natural. Many contemporary robots use machine learning, and many AI systems are described in agentive terms. Yet the pairing can hide a conceptual shortcut. It quietly suggests…
  openalex Ahmet Küçükuncular 2026-02-20 置信度 0.72 Embodied cognitionRobotSituatedMoral agencyAgency (philosophy)
• A framework for developing university policies on generative AI governance: a cross-national comparative study
  As generative AI (GAI) becomes increasingly embedded in higher education, universities worldwide are developing policies to govern its ethical, pedagogical, and institutional use. However, these policies vary across national and institutional contexts. We unde…
  openalex Ming Li, Qin Xie, Ariunaa Enkhtur, Shuoyang Meng 等 2026-07-13 置信度 0.72 Generative grammarCorporate governancePolitical scienceRegional sciencePublic administration
• When Politicians Talk AI: Issue‐Frames in Parliamentary Debates Before and After ChatGPT
  ABSTRACT Artificial intelligence (AI) is increasingly recognized as a crucial issue in political discourse, yet comparative research on how political perspectives on AI vary across countries, particularly following ChatGPT's public debut, remains limited. This…
  openalex Viktor Suter, Charles Ma, Gina Pöhlmann, Miriam Meckel 2025-08-03 置信度 0.72 Political scienceMedia studiesLawSociology