Trust in AI: progress, challenges, and future directions by Saleh Afroogh, Ali Akbari, Emmie Malone, Mohammadali Kargar, Hananeh Alambeigi

“…Abstract The increasing use of artificial intelligence (AI) systems in our daily lives through various applications, services, and products highlights the significance of trust and distrust in AI from a user perspective. …”
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AI-driven innovation within the ICT sector by Erika GRABOCKA, Ervisa NDOKA

Subjects: “…ethical implications of AI and collaborative innovation…”
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Artificial Intelligence’s (AI’s) Implications for Strategic Communication by Pay Shabangu

“… Organisations in Africa have integrated Artificial Intelligence’s (AI) innovations, such as data driven technologies and automation, into their operations. …”
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AI Algorithms for Positive Change in Digital Futures by Manolya Kavakli-Thorne, Zhuangzhuang Dai

“…Artificial Intelligence (AI) is transforming industries and revolutionizing how we interact with technology at an unprecedented pace, playing a crucial role in shaping our digital future [...]…”
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AIs @ School: the perception of the actors of the learning processes by Carlo Giovannella, Licia Cianfriglia, Antonello Giannelli

“… At a historical juncture where AIs have become a ‘must’ in every form of communication and every form of activity, we have explored the perception that the actors of the educational processes – students, teachers, principals, and parents – have about the bouquet of technologies that are included in the definition of AI. …”
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Case studies of AI policy development in Africa by Kadijatou Diallo, Jonathan Smith, Chinasa T. Okolo, Dorcas Nyamwaya, Jonas Kgomo, Richard Ngamita

“…Artificial intelligence (AI) requires new ways of evaluating national technology use and strategy for African nations. …”
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AI Methods for Antimicrobial Peptides: Progress and Challenges by Carlos A. Brizuela, Gary Liu, Jonathan M. Stokes, Cesar de laFuente‐Nunez

“…However, the high cost of extensive wet‐lab screening has made AI methods for identifying and designing AMPs increasingly important, with machine learning (ML) techniques playing a crucial role. …”
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THE BODY OF «GENERAL AI» AS AN ONTO-SOCIAL VERIFIER by Станіслав БЕСКАРАВАЙНИЙ

“…It is shown that the concept of «embodied mind» potentially removes the basic contradiction of general AI: cognitive activity cannot be fully reflected, and the technogenic nature of AI requires the maximization of self-reflection. …”
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Le système d’identification automatique (AIS) by Arnaud Serry, Laurent Lévêque

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Team Sports for Game AI Benchmarking Revisited by Maxim Mozgovoy, Mike Preuss, Rafael Bidarra

“…Sport-inspired environments, such as RoboCup, have been used for AI benchmarking for years. We argue that, in spite of the rise of increasingly more sophisticated game genres, team sport games will remain an important testbed for AI benchmarking due to two primary factors. …”
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The Turing Test and the Issue of Trust in AI Systems by Stacewicz Paweł, Sołoducha Krzysztof

“…According to it, the benchmark/blueprint for AI is human intelligence, and the key skill of AI should be its communicative proficiency – which includes explaining decisions made by the machine.…”
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Reconceptualizing Constitutionalism in the AI Run Algorithmic Society by Matej Avbelj

Subjects: “…artificial intelligence (AI)…”
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Evaluation of Novel AI Architectures for Uncertainty Estimation by Erik Pautsch, John Li, Silvio Rizzi, George K. Thiruvathukal, Maria Pantoja

“…Using High-Performance (HPC) platforms, including the traditional Polaris supercomputer and AI accelerators like Cerebras CS-2 and SambaNova DataScale, we assessed the computational merits and bottlenecks of each platform. …”
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AI, big data, and robots for the evolution of biotechnology by Haseong Kim

“…Artificial intelligence (AI), big data, and ubiquitous robotic companions —the three most notable technologies of the 4th Industrial Revolution—are receiving renewed attention each day. …”
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AI foundation models for experimental fusion tasks by R. Michael Churchill

“…Artificial Intelligence (AI) foundation models, while successful in various domains of language, speech, and vision, have not been adopted in production for fusion energy experiments. …”
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Artificial Intelligence (AI) for Crop Yield Forecasting by Clyde Fraisse, Yiannis Ampatzidis, Sandra Guzmán, Wonsuk Lee, Christopher Martinez, Sanjay Shukla, Aditya Singh, Ziwen Yu

“… This publication aims to introduce readers to recent crop yield forecasting approaches based on artificial intelligence (AI) and to provide examples of how AI can potentially improve yield forecasting at the field and regional levels. …”
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Artificial Intelligence (AI) Competency and Educational Needs: Results of an AI Survey of Members of the European Society of Pediatric Endoscopic Surgeons (ESPES) by Holger Till, Hesham Elsayed, Maria Escolino, Ciro Esposito, Sameh Shehata, Georg Singer

“…<b>Background</b>: Advancements in artificial intelligence (AI) and machine learning (ML) are set to revolutionize healthcare, particularly in fields like endoscopic surgery that heavily rely on digital imaging. …”
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Teachers' perceptions, attitudes, and acceptance of artificial intelligence (AI) educational learning tools: An exploratory study on AI literacy for young students by Iris Heung Yue Yim, Rupert Wegerif

Subjects: “…AI educational learning tools and platforms…”
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Enhancing Africa’s agriculture and food systems through responsible and gender inclusive AI innovation: insights from AI4AFS network by Nicholas Ozor, Joel Nwakaire, Alfred Nyambane, Wentland Muhatiah, Cynthia Nwobodo

Subjects: “…responsible AI…”
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AI for IMPACTS Framework for Evaluating the Long-Term Real-World Impacts of AI-Powered Clinician Tools: Systematic Review and Narrative Synthesis by Christine Jacob, Noé Brasier, Emanuele Laurenzi, Sabina Heuss, Stavroula-Georgia Mougiakakou, Arzu Cöltekin, Marc K Peter

“… BackgroundArtificial intelligence (AI) has the potential to revolutionize health care by enhancing both clinical outcomes and operational efficiency. …”
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