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generative ai

2,364 papers

#generative ai Open access Sep 2026

Exploring the Relevance of Chatgpt in Student-Teacher Education: A Case Study of Federal College of Education, Yola

Thematic analysis revealed universal but uneven use, shallow reading of outputs, and convergence on the view that ChatGPT is academically beneficial only when combined with critical engagement, lecturer mentorship, and clear institutional policy.

Abubakar Mohammed Buba · 0 citations
#generative ai Open access Sep 2026

PREreview of "A Stability Contract for Scalable Hybrid Computing: Minimal Sufficient Control of Component-Observable Hardware"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22967716. This paper studies how analog and wave-based hardware can be kept stable as the number of components increases. It argues that parallel, component-level feedback can provi...

Samyak Sanjay Sand · 0 citations
#generative ai Open access Sep 2026

Ismailova O.I. Artificial intelligence as tool for manipulation in mass media: language strategies of generative chatbots and humans

The paper deals with language capabilities of modern generative chatbots (using DeepSeek and Alice AI models as examples) in the context of creating a media headline as one of the key elements of manipulative influence in news media texts. The relevance of the work is accounted for by the necessity to analyze the quali...

O. I. Ismailova · 0 citations
#generative ai Book Open access Sep 2026

Human Factors in Data Preparation

Data preparation is a cornerstone of the data science lifecycle, yet it remains one of the most time-consuming and human-dependent stages. Human factors are critical here, shaping how users interact with tools, perceive data quality, and make trade-offs under uncertainty. At the crossroads of Human–Computer Interaction...

Marco Angelini, Matteo Filosa, Tiziana Catarci · 0 citations
#generative ai Open access Sep 2026

If the AI bubble bursts, what will be the difference in higher education and lifelong learning?

As pointed out by Floridi (2024) and Youvan (2025), the current AI hype shows several characteristics that resemble earlier tech bubbles such as the Dot-Com Bubble and the Cryptocurrency Bubble. These two bubbles were also centred around a technology with a potential to revolutionise multiple sectors, and at the same t...

Peter Mozelius, Marcia Håkansson Lindqvist, Martha Cleveland-Innes et al. · 0 citations
#generative ai Open access Sep 2026

Extrapolating CSR–HRM interdependencies and employee well-being for sustainable workplaces in generative AI era

The development of generative AI (GAI) capabilities has led corporate entities to rethink their strategic initiatives towards sustainable workforce management. This dynamism has been broadly identified as a concern for managerial teams. Despite strong consensus on the roles of organizational human resources and corpora...

Rajat Subhra Chatterjee, Ranjan Chaudhuri, Katarína Zvaríková et al. · 0 citations
#artificial intelligence Open access Sep 2026

Generative Artificial Intelligence in Writing Pedagogy: Challenges, Ethical Concerns, and Future Directions

Particularly in terms of supporting writing, artificial intelligence can now do much more. It alters children's reading and writing skills as well as teacher evaluation of their work. Apps that help with language, programs that offer quick feedback, and tools that generate text are all examples of AI that can provide h...

M. Ashfaque, G. ALFarsi, S. I. Malik et al. · 0 citations
#artificial intelligence Review Open access Sep 2026

An integrative theoretical model of AI-supported cybersecurity governance and organizational resilience

An integrative theoretical model explaining how and when AI-supported cybersecurity governance may contribute to organizational resilience is developed, and what AI changes in the positive pathway while explicitly recognizing heterogeneity across model classes and deployment arrangements is explained.

Irlenys Tersek · 0 citations
#generative ai Open access Sep 2026

Photonic AI for deeper understanding of the Planck epoch

This article addresses the requirements for a photonic artificial intelligence (AI) capable of supporting a deeper understanding of the Planck epoch in the origin of the Universe. The article continues the previous author’s articles, which outlined requirements for AI to support studies of protein evolution on Earth, c...

Aleksandr Raikov · 0 citations
#generative ai Open access Sep 2026

PREreview of "Evaluation of Ante-Mortem Sampling Matrices for qPCR Detection of Canine Distemper Virus"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22958187. The baseline strategy of evaluating clinical sample types to optimize qPCR diagnostic sensitivity grids for Canine Distemper Virus is highly relevant to contemporary mole...

Prerna Mehta · 0 citations
#artificial intelligence Book Open access Sep 2026

Molecular Modelling of Aqueous Batteries

Aqueous batteries play an increasingly important role in the development of sustainable and safety-prioritized energy storage solutions. Compared to conventional lithium-ion batteries, the cell chemistry in aqueous batteries shares many common features with those of electrolyzer and pseudo-capacitor systems because of...

Alicia van Hees, Zhan‐Yun Zhang, Aishwarya Sudhama et al. · 1 citation

From tech blogs

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Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

GPT-Lab Oct 12, 2026

AI Has Grown Up. Have We?

AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.

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