Integration of Artificial Intelligence (AI) in Learning English Writing in Higher Education by Nurul Aini, Yazid Basthomi

“… This article presents a conceptual analysis around the integration of Artificial Intelligence (AI) in learning English writing in higher education. …”
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Wi-Fi and the Wisdom Exchange: The Role of Lived Experience in the Age of AI by Teresa H. Langness

“…It also suggests the need to integrate lived experience rather than taking only the shortcut to AI's information highway. We wonder, Does the nature of technology present geographic bias? …”
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Harnessing Generative AI in Higher Education: Opportunities, Challenges, and Ethical Imperatives by R. Ravichandran, P. Sasikala

“…The paper also interrogates key ethical concerns, such as academic integrity, data privacy, algorithmic bias, and equity, while analysing current government initiatives aimed at responsible AI adoption. Drawing on global comparisons and field-based perspectives, the article presents a balanced analysis of both the opportunities and limitations of AI in Indian higher education. …”
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Easy to read, easier to write: the politics of AI in consultancy trade research by Tammy Mackenzie, Branislav Radeljić, Olivia Heslinga

“…To optimize the utility of consultancy reports for decision-makers and their pertinence for policy, we present recommendations for the quality assessment of consultancy reporting on AI’s use in organizations. …”
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Ethical Horizons in AI: Navigating Opportunities and Upholding Values in the MENA Landscape by Ray Gutierrez Jr.

“…It spotlights perspectives from regional experts on grounding AI governance in cultural values, exemplified by initiatives like the UAE’s AI ethics council. …”
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Generative AI in Medicine and Healthcare: Moving Beyond the ‘Peak of Inflated Expectations’ by Peng Zhang, Jiayu Shi, Maged N. Kamel Boulos

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Audit Program on Artificial Intelligence (AI)-driven Credit Risk Models by Valeria Anna De Palma, Alessandro Di Maria, Daniele Foschini, Vincenzo Frasca, Dario Girardi

“…From an Internal Audit perspective, the integration of Artificial Intelligence (AI) into credit risk modelling through Machine Learning (ML) algorithms presents significant challenges due to the complexity and multidimensional nature of these models. …”
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Harnessing AI for Improved Detection and Classification of Pleural Effusion: Insights and Innovations by Geran Maule, Ahmad Alomari, Abdallah Rayyan, Ogbeide Aghahowa, Mohammad Khraisat, Luis Javier

“…The detection and classification of pleural effusion present significant challenges in clinical practice, often contributing to delayed diagnoses and suboptimal patient outcomes. …”
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A multimodal symphony: integrating taste and sound through generative AI by Matteo Spanio, Massimiliano Zampini, Antonio Rodà, Franco Pierucci

“…This study represents a significant step toward understanding and developing embodied interactions between AI, sound, and taste, opening new possibilities in the field of generative AI.…”
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GuardianAI: Privacy-preserving federated anomaly detection with differential privacy by Abdulatif Alabdulatif

“…To address these threats, this paper presents GuardianAI, a novel federated anomaly detection framework that incorporates advanced differential privacy techniques, including Gaussian noise addition and secure aggregation protocols, specifically designed to mitigate these attacks. …”
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Revolutionizing Supply Chain Management With AI: A Path to Efficiency and Sustainability by Kassem Danach, Ali El Dirani, Hassan Rkein

“…While the capabilities and applications of AI in SCM have been widely discussed, this paper addresses a critical gap by presenting a comprehensive framework that not only highlights the benefits but also explores the limitations and challenges of AI adoption in real-world supply chains. …”
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Needle in a haystack: Harnessing AI in drug patent searches and prediction. by Leonardo Costa Ribeiro, Valbona Muzaka

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Experimental narratives: A comparison of human crowdsourced storytelling and AI storytelling by Nina Beguš

“…The proposed framework argues that fiction can be used as a window into human and AI-based collective imaginary and social dimensions.…”
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AI-driven fusion of multimodal data for Alzheimer’s disease biomarker assessment by Varuna H. Jasodanand, Sahana S. Kowshik, Shreyas Puducheri, Michael F. Romano, Lingyi Xu, Rhoda Au, Vijaya B. Kolachalama

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Analysis of Algorithms for AI Virtual Player in the Production Management Training Platform by Gąbka Joanna, Przybyś Krzysztof

“…The article presents research focused on design, testing and evaluation of the Artificial Intelligence (AI) algorithms dedicated for Virtual Player (VP/bot) embedded in the Production Management Training Platform (TP). …”
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How digital technologies and AI contribute to achieving the health-related SDGs by Philipp Koebe

“…The survey encompassed an assessment of the influence of digital technologies and AI on 13 sub-goals within the health domain, as well as on six additional SDGs. …”
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Nomological Deductive Reasoning for Trustworthy, Human-Readable, and Actionable AI Outputs by Gedeon Hakizimana, Agapito Ledezma Espino

“…This paper presents Nomological Deductive Reasoning (NDR), supported by Nomological Deductive Knowledge Representation (NDKR), as a framework aimed at improving the transparency and auditability of AI decisions through the integration of formal logic and structured domain knowledge. …”
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AI Empowerment of Asian-Australian Migrant Workers: Progress, Potentials, and Patterns by Yingnan Shi, Chao Ma

“… As Artificial Intelligence (AI), particularly generative AI, becomes integral to organizational practices, its capacity to augment human capabilities presents opportunities and challenges. …”
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Enhancing entrepreneurial skills through experiential learning in IoT, AI, and cybersecurity by Livinus Obiora Nweke, Uchenna Franklin Okebanama, Gibson Uwaezuoke Mba

“…Abstract The integration of Internet of Things (IoT), Artificial Intelligence (AI), and cybersecurity presents new opportunities for innovation and entrepreneurship, yet traditional educational approaches often lack the interdisciplinary and applied focus required to develop these competencies. …”
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Generative AI Models (2018–2024): Advancements and Applications in Kidney Care by Fnu Neha, Deepshikha Bhati, Deepak Kumar Shukla

“…This paper highlights key advancements in GenAI, LLMs, and LVMs from 2018 to 2024, focusing on their applications in kidney care and presenting common use cases. …”
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