Artificial Intelligence and the creative process: Does AI-creativity extend beyond divergent thinking? by Christian Byrge, Erik E. Guzik, Christian Gilde

“…Creative problem-solving methods, in particular, present an intriguing means of researching AI’s capacity to identify problems within ambiguous situations, while also generating relevant, useful solutions that respond to authentic, real-world issues in a meaningful way. …”
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AI-Driven Belt Failure Prediction and Prescriptive Maintenance with Motor Current Signature Analysis by João Paulo Costa, José Torres Farinha, Mateus Mendes, Jorge O. Estima

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Balancing risks and benefits: clinicians’ perspectives on the use of generative AI chatbots in mental healthcare by Lyndsey Hipgrave, Jessie Goldie, Simon Dennis, Simon Dennis, Amanda Coleman

“…This paper aimed to explore the perspectives of mental health clinicians regarding the risks and benefits of integrating generative-AI chatbots into the mental health landscape.MethodsTwenty-three clinicians participated in a 45-minute virtual interview, in which a series of open-ended and scale-based questions were asked, and a demonstration of a mental health chatbot's potential capabilities was presented.ResultsParticipants highlighted several benefits of chatbots, such as their ability to administer homework tasks, provide multilingual support, enhance accessibility and affordability of mental healthcare, offer access to up-to-date research, and increase engagement in some client groups. …”
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Mapping AI ethics narratives: evidence from Twitter discourse between 2015 and 2022 by Mengyi Wei, Puzhen Zhang, Chuan Chen, Dongsheng Chen, Chenyu Zuo, Liqiu Meng

“…To address this challenge, this paper proposes a research framework for the fine-grained exploration of AI ethics discourse on Twitter. The framework consists of two main parts: (1) combining neural networks with large-scale language models to construct a hierarchically structured topic framework that not only extracts popular topics of public interest, but also highlights smaller, yet significant voices; (2) using narrative metaphors to achieve the integration of fragmented information across levels and topics, ultimately presenting a complete story to help the public better understand the evolution of topics within AI ethics discourse. …”
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Distinguishing Dyslexia, Attention Deficit, and Learning Disorders: Insights from AI and Eye Movements by Alae Eddine El Hmimdi, Zoï Kapoula

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Evaluating the acceptance of CBDCs: experimental research with artificial intelligence (AI) generated synthetic response by Sergio Luis Náñez Alonso, Peterson K. Ozili, Beatriz María Sastre Hernández, Luís Miguel Pacheco

“…Generative AI, with its algorithmic fidelity, has great potential for predicting human behavior in economic contexts. …”
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AI and Eye Tracking Reveal Design Elements’ Impact on E-Magazine Reader Engagement by Hedda Martina Šola, Fayyaz Hussain Qureshi, Sarwar Khawaja

“…This study investigates the impact of intelligible background speech on reading disruption utilising neuromarketing methodologies, specifically an eye-tracking webcam (Tobii Sticky) and AI eye-tracking software (Predict, v.1.0.). A cohort of 144 participants from Oxford Business College underwent emotional impact testing, while an AI eye-tracking algorithm analysed attention patterns across 180,000 eye-tracking recordings. …”
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Revitalizing agriculture with the potential of cashew nutshell liquid: a comprehensive exploration and synergy with AI by Sneha Nayak, Roopa B. Hegde, Abhishek S. Rao, H. K. Sachidananda

“…By succinctly mapping out the roadmap for CNSL production, chemical enhancements, and its application as an antifungal agent, the manuscript advocates for the integration of AI and ML to enhance agricultural outcomes and boost farmers' profits.…”
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Generative AI in academic writing: Does information on authorship impact learners’ revision behavior? by Anna Radtke, Nikol Rummel

“…The role of generative artificial intelligence (AI) in education has expanded significantly over recent years. …”
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AI-Generated Context for Teaching Robotics to Improve Computational Thinking in Early Childhood Education by Raquel Hijón-Neira, Celeste Pizarro, Oriol Borrás-Gené, Sergio Cavero

“…This article presents a methodology for teaching robotics based on AI-generated contexts aimed at enhancing CT. …”
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AI Product Factors and Pro-Environmental Behavior: An Integrated Model with Hybrid Analytical Approaches by Chi-Horng Liao

“…Based on three theories—the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and Responsible Environmental Behavior (REB)—the present study proposes a model of AI product factors and pro-environmental behavior. …”
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The darker side of positive AI attitudes: Investigating associations with (problematic) social media use by Christian Montag, Jon D. Elhai

“…Further we observed that this association was mediated by time spent on social media. The present study shows that positive AI attitudes – although well-known to be positive regarding embracing new technologies – might come with risks for developing addictive patterns of technology use, such as social media.…”
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The effectiveness of a novel artificial intelligence (AI) model in detecting oral and dental diseases by Ravi Rathod, Saffa Dean, Christopher Sproat

“…Ninety different unseen images were selected and presented to the AI model to test the accuracy of disease detection. …”
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An explainable AI-based blood cell classification using optimized convolutional neural network by Oahidul Islam, Md Assaduzzaman, Md Zahid Hasan

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Automated insect detection and biomass monitoring via AI and electrical field sensor technology by Freja Balmer Odgaard, Páll Vang Kjærbo, Amir Hossein Poorjam, Khaled Hechmi, Rubens Monteiro Luciano, Niels Krebs

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An AI-based nutrition recommendation system: technical validation with insights from Mediterranean cuisine by Kyriakos Kalpakoglou, Lorena Calderón-Pérez, Noemi Boqué, Metin Guldas, Çağla Erdoğan Demir, Lazaros P. Gymnopoulos, Kosmas Dimitropoulos

“…Given this context, artificial intelligence can play a pivotal role in addressing the challenge.MethodsWe present an AI-based nutrition recommendation system that generates balanced, personalized weekly meal plans tailored to the nutritional needs and preferences of healthy adults. …”
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An integrated AI-driven framework for maximizing the efficiency of heterostructured nanomaterials in photocatalytic hydrogen production by Pramod N. Belkhode, Shrikant M. Awatade, Chander Prakash, Sagar D. Shelare, Deepali Marghade, Sameer Sheshrao Gajghate, Muhamad M. Noor, Milon Selvam Dennison

“…Traditional synthesis methods often rely on trial-and-error, resulting in inefficiencies in material discovery and optimization. This work presents a new AI-driven framework that overcomes these challenges by integrating advanced machine-learning techniques specific to heterostructured nanomaterials. …”
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Developing an innovative lung cancer detection model for accurate diagnosis in AI healthcare systems by Wang Jian, Amin Ul Haq, Noman Afzal, Shakir Khan, Hadeel Alsolai, Sultan M. Alanazi, Abu Taha Zamani

“…Abstract Accurate Lung cancer (LC) identification is a big medical problem in the AI-based healthcare systems. Various deep learning-based methods have been proposed for Lung cancer diagnosis. …”
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AI-Driven Framework for Enhanced and Automated Behavioral Analysis in Morris Water Maze Studies by István Lakatos, Gergő Bogacsovics, Attila Tiba, Dániel Priksz, Béla Juhász, Rita Erdélyi, Zsuzsa Berényi, Ildikó Bácskay, Dóra Ujvárosy, Balázs Harangi

“…Traditional methods for analyzing MWM experiments often face limitations in capturing the complexity of animal behaviors. In this study, we present a novel AI-based automated framework to process and evaluate MWM test videos, aiming to enhance behavioral analysis through machine learning. …”
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Complying with the EU AI Act: Innovations in explainable and user-centric hand gesture recognition by Sarah Seifi, Tobias Sukianto, Cecilia Carbonelli, Lorenzo Servadei, Robert Wille

“…In response, we present advancements in XentricAI, an explainable hand gesture recognition (HGR) system designed to meet these regulatory requirements. …”
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