Algorithmic emergence? Epistemic in/justice in AI-directed transformations of healthcare by Imo Emah, SJ Bennett

“…Moves toward integration of Artificial Intelligence (AI), particularly deep learning and generative AI-based technologies, into the domains of healthcare and public health have recently intensified, with a growing body of literature tackling the ethico-political implications of this. …”
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The intersection of digital health and artificial intelligence: Clearing the cloud of uncertainty by Pooyeh Graili, Bijan Farhoudi

“…In managing perceptual data, AI recognizes image/video, voice, and text. In recent years, generative AI, a form of AI that generates new content by employing a combination of a wide range of learning approaches, has become prominent in research and influences the health sector. …”
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Interpretative Phenomenological Analysis (IPA) for Journalism Studies: Making Sense of Journalists’ Sense-Making of Digital Disruptions by Amira Firdaus, Iffat Ali Aksar, Jiankun Gong, Muhammad Zaiamri Zainal Abidin, Haroon ur Rasheed Baloch, Edward Gomez

“…By analyzing in-depth interviews with journalists at the cusps of two epochal ages of digital disruption in journalism—the rise of user-generated content (UGC) and social network sites around 2010, and the current explosion of generative AI—we show how IPA can serve as a powerful approach for journalism researchers. …”
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Exploring Student Acceptance and Perceptions of AI-Assisted PowerPoint Creation by Svetoslav Georgiev, Joseph Tinsley

“… Generative AI (GenAI) has had a disruptive effect on teaching and learning in Higher Education contexts. …”
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AI for chemistry teaching: responsible AI and ethical considerations by Blonder Ron, Feldman-Maggor Yael

“…The UNESCO framework on GenAI in education provides a comprehensive guide to controversies around generative AI and ethical educational considerations, emphasizing human agency, inclusion, equity, and cultural diversity. …”
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The Adventure of Artificial Intelligence in Educational Research from the Past to the Present by Deniz Kaya

“…As a thematic change in the studies, there has been an evolution towards new technological developments such as deep learning, machine learning, ChatGPT, chatbots, learning analytics, blockchain, and generative AI. According to the factor analysis conducted on the conceptual structure of AI-related studies in education, it was determined that it explained 48% of the total variability. …”
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Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications by Emre Sezgin, Ahmet Baki Kocaballi

“…Specifically, we discuss the integration of large language models and generative AI in mainstream messaging platforms, which potentially outperform traditional information retrieval systems in public health contexts. …”
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Chatbot Programmes’ ‘Arms Race’: Africa and Artificial Intelligence (AI) Ethics by Tapiwa Chagonda

“… This paper argues that the AI revolution which is currently unfolding and being fuelled by the significant strides in Generative AI-powered technologies, calls for an urgent response by the African continent, to ensure that possible harms associated with this cutting-edge technology are mitigated. …”
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AI Can Be a Powerful Social Innovation for Public Health if Community Engagement Is at the Core by Alessandra N Bazzano, Andrea Mantsios, Nicholas Mattei, Michael R Kosorok, Aron Culotta

“…Public health practitioners and researchers have historically innovated in areas like vaccination and sanitation but have been slower in adopting emerging technologies such as generative AI. However, with increasingly complex funding, programming, and research requirements, the field now faces a pivotal moment to enhance its agility and responsiveness to evolving health challenges. …”
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How Big Data Has Changed Technology Roadmapping: A Review on Data-Driven Roadmapping by Jinhong Kim, Gamunnarbi Park, Myoungkyun Woo, Youngjung Geum

“…Apart from simple trend analysis to support decision-making, it has evolved to generate the technology roadmap using generative AI techniques such as generative adversarial network (GAN).…”
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Reversible Spectral Speech Watermarking with Variable Embedding Locations Against Spectrum-Based Attacks by Xuping Huang, Akinori Ito

“…To guarantee the reliability and integrity of audio, data have been focused on as an essential topic as the fast development of generative AI. Significant progress in machine learning and speech synthesis has increased the potential for audio tampering. …”
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An integrated toolbox for creating neuromorphic edge applications by Lars Niedermeier, Nikil Dutt, Jeffrey L Krichmar

“…spiking neural networks (SNNs) and neuromorphic models are believed to be more efficient in general and have more biological realism than the activation functions typically used in deep neural networks, transformer models and generative AI. SNNs have local learning rules, are able to learn on small data sets, and can adapt through neuromodulation. …”
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IMPLEMENTATION OF LEARNING MANAGEMENT SYSTEMS WITH GENERATIVE ARTIFICIAL INTELLIGENCE FUNCTIONS IN THE POST-PANDEMIC ENVIRONMENT by Denis-Cătălin Arghir

“…What sets this system up-to-date is its integration of generative AI features directly into the LMS, enriching the teaching-learning-evaluating experience. …”
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Enhancing foundation models for scientific discovery via multimodal knowledge graph representations by Vanessa Lopez, Lam Hoang, Marcos Martinez-Galindo, Raúl Fernández-Díaz, Marco Luca Sbodio, Rodrigo Ordonez-Hurtado, Mykhaylo Zayats, Natasha Mulligan, Joao Bettencourt-Silva

“…We seek to exploit MKGs to improve generative AI models’ ability to capture intricate domain-specific relations and facilitate multimodal fusion. …”
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Key Intelligent Pesticide Prescription Spraying Technologies for the Control of Pests, Diseases, and Weeds: A Review by Kaiqiang Ye, Gang Hu, Zijie Tong, Youlin Xu, Jiaqiang Zheng

“…In addition, this study discusses the future development prospectives of IPPS technologies, including multifunctional target information acquisition systems, decision-support systems based on generative AI, and the development of precision intelligent sprayers. …”
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A guide to prompt design: foundations and applications for healthcare simulationists by Sara Maaz, Sara Maaz, Janice C. Palaganas, Gerry Palaganas, Maria Bajwa

“…By offering these insights, this paper contributes valuable, timely knowledge for simulationists seeking to leverage generative AI’s capabilities in healthcare education responsibly.…”
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AUTOMATED DECISION-MAKING: IS THE EU CONSUMER LAW FIT FOR THE EMERGING TECHNOLOGY? by Monica CALU

“…The concept of „automated decision making” (ADM) is currently a key vector reshaping industries in the era of technology-based decision making, and the use of artificial intelligence (AI) in this process is a hot topic worldwide with the adoption of generative AI tools like ChatGPT. ADM enables companies to use technology for tasks that were not long ago the domain of human judgment. …”
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A novel deep synthesis-based insider intrusion detection (DS-IID) model for malicious insiders and AI-generated threats by Hazem M. Kotb, Tarek Gaber, Salem AlJanah, Hossam M. Zawbaa, Mohammed Alkhathami

“…Abstract Insider threats pose a significant challenge to IT security, particularly with the rise of generative AI technologies, which can create convincing fake user profiles and mimic legitimate behaviors. …”
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Systematic Review of Fake News, Propaganda, and Disinformation: Examining Authors, Content, and Social Impact Through Machine Learning by Darius Plikynas, Ieva Rizgeliene, Grazina Korvel

“…In the context of information warfare and the capabilities of generative AI, FNPDs have proliferated. They have become a powerful and quite effective tool for influencing people’s social identities, attitudes, opinions and even behavior. …”
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Diffusion Partition Consensus: Diffusion-Aided Time-of-Flight Estimates, Anomaly Detection, and Localization for Ultrasonic Nondestructive Evaluation Data by Nick Torenvliet, John S. Zelek

“…Diffusion partition consensus is a novel generative AI-based technique for time-series anomaly detection and data imputation in the presence of outliers. …”
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