The paper discusses a dynamic stress test using Generative Adversarial Networks (GANs), answers key questions in the context of Explainable AI (XAI) and data privacy, and offers a recommended course of action in implementing and standardised RegTech/SupTech systems to transition regulatory control to an active and proactive science.
Elizabeth Ope, Yejide R. Alli, Ifeoluwa A. Ojo et al.· International Journal of Sci...· 0 citations
It is proposed that information theory and Bayesian statistics deserve greater emphasis in the curriculum than they currently receive, that the everyday experience of end-user programming is a more honest starting point than the rhetoric of conversational “agents,” and that the proper aim of AI education is to form critical technical practitioners rather than compliant consumers.
Alan F. Blackwell· Proceedings of the 2026 Unit...· 0 citations
DevJourney is presented, a Generative AI-powered educational game that supports experiential and adaptive learning and highlights the potential of AI-enhanced game-based learning to strengthen software engineering education and better prepare students for industry practice.
Wan Faiz Wan Azman, Aurora Constantin, G. Imperatore· Proceedings of the 2026 Unit...· 0 citations
A theory-oriented framework that integrates KDD, knowledge-creation theory, human-AI collaboration, responsible generative AI, and epistemological reflection into a single-layered ecology is proposed.
Tipawan Silwattananusarn, Pachisa Kulkanjanapiban· Journal of Data and Informat...· 0 citations
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This review traces the development of the field from classical machine learning and deep learning to generative models, transfer learning, transformers, and emerging foundation models, and introduces major nanophotonic platforms.
Chaobin Yang, Xueqing Liu, Yiqun Fu et al.· 0 citations
A narrative review of the available evidence presents a narrative review of the available evidence on the effect of LLMs on diagnostic reasoning, the optimal design of clinician-LLM interaction, the appropriate timing of consultation during the clinical encounter, the safest models of clinical-AI integration, and the main risks associated with their use.
L. Corral-Gudino, M. Ramos-Casals, M. Marcos et al.· Medicina clínica (Ed. impres...· 0 citations
The proposed GenAI Responsible Adoption Framework for Vietnamese Higher Education (GRAV-HE) comprises four interdependent dimensions: ethical policy and AI disclosure, data governance and secure infrastructure, pedagogical transformation, and comprehensive AI literacy.
N. Duong, T. Tu, L. Dang et al.· OIDA International Journal o...· 0 citations
This work introduces MotionPhys, a lightweight and interpretable framework that treats sparse motion trajectories as physical evidence rather than relying on appearance artifacts or generator-specific traces and reveals subtle motion inconsistencies that are difficult to capture with conventional visual cues and transforms them into a compact representation for efficient detection.
ClinX is introduced, an end-to-end multimodal PHI sanitization framework for medical image-text data, and results show that OCR-only masking is not sufficient as a standalone solution, and restoration-based sanitization better preserves clinically relevant visual context while sharply reducing recoverable PHI.
S. Shrestha, Zongxing Xie, Chen Zhao et al.· 0 citations
Based on the results of all evaluations performed, it has been found that AI-based adaptive learning systems provide greater motivation, more successfully comprehend course content, and a higher level of academic performance compared to the use of traditional mobile learning apps.
Jayaprakash Sunkavalli, Nishant Kumar, Rama Krishna Yellapragada et al.· International Journal of Int...· 0 citations
To investigate AI use in undergraduate education and understand students' perceptions of its impact on their writing, two consecutive writing assignments that incorporated AI-assisted revisions in a large-enrollment general education course are designed and implemented.
Alexis R. Heather, Juliet Han, Lili Tian· Frontiers in Education· 0 citations
It is found that AI‐created activism elicits greater negative affect, ultimately reducing decision comfort, and this effect attenuates when consumers are conservative or have a high tendency to anthropomorphize AI.
Lin Zhao, Alexis Yim, A. Cui· Journal of Consumer Affairs· 0 citations
A new method, called CW-Net, translates the reasoning process of an autonomous vehicle’s AI system into understandable concepts that explain its behavior.