This survey critically examines significant research contributions highlighting AI applications across intrusion detection, malware analysis, phishing detection, ransomware mitigation, distributed denial-of-service prevention, and network security and outlines prospective directions to advance the development of intell...
Muhammad Zahid Mehmood, Dr.Irshad Ahmed Sumra, Sobia Yaqoob· International journal for el...· 0 citations
This paper presents a novel approach to social network analysis utilizing Explainable Graph Neural Networks (E-GNNs). Traditional graph neural networks, while effective in capturing complex relationships within networks, often operate as black boxes, hindering interpretability and trust. We propose a framework that int...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Reliable prediction of cracking behavior is essential for the serviceability assessment of reinforced and prestressed concrete members, where crack development depends on interacting material, geometric, reinforcement, prestressing, and loading parameters. This study presents an explainable and uncertainty-aware artifi...
Ahmed N. Elbelacy· Journal of engineering and a...· 0 citations
The notion of “AI natives” is increasingly used to describe young learners’ presumed ease with generative artificial intelligence (GenAI), but the label often turns age and exposure into proxies for competence. This study re-examines that assumption through an exploratory secondary analysis of two open student datasets...
Jun Peng, Weichen Jia, Nuan Wen et al.· Information· 0 citations
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This study examines whether and how SMEs' post-adoption use of generative AI (GenAI) relates to firms' market-facing digital presence. Moving beyond binary adoption, it asks how three usage patterns, i.e. duration (continuity over time), volume (cumulative interaction) and frequency (regularity of use), are associa...
Devid Jegerson, Andrea Passacantilli, Federica Belfanti et al.· European Journal of Innovati...· 0 citations
This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/22309061. Does the introduction explain the objective of the research presented in the preprint? Partly The intro concisely lists the limitations of present methods used...
Roshan Salim· Zenodo (CERN European Organi...· 0 citations
This systematic review examines how artificial intelligence (AI), including generative AI and explainable AI (XAI), is reshaping assessment practices in higher education. Drawing on 31 empirical, conceptual, and review-based studies published between 2015 and 2025, the review identifies major shifts in the use of AI-su...
This study introduces a fairness-by-design framework that integrates stakeholder involvement and explainability into the development lifecycle and operationalizes this framework through the Fairness Process Card, a practical tool for documenting procedural justice mechanisms.
A comprehensive review of XAI techniques in industrial cybersecurity, focusing on industrial SOC environments and operational security workflows, and identifies open research directions and opportunities for developing trustworthy, operationally viable, and domain-specific XAI-enabled cybersecurity solutions for indust...
Amr S. Mohamed, Charlotte Fritz, A. M. Saber et al.· 0 citations
Using AI has substantially improved periodontology and implant dentistry research and the current evidence suggests moving beyond the single-modality AI toward multimodal systems that better reflect the 2018 periodontal classification and the complexity of periodontal and peri-implant decision-making.
Aminollah Khormali, Negin Soghli, P. Miguez· Periodontology 2000· 0 citations
As computer vision systems are increasingly used in safety-critical and real-world settings, explainability is essential for trust, accountability, and responsible deployment. This chapter explores explainable and interpretable AI techniques for image processing, including gradient-based methods like saliency maps and...
Chinna Gopi Simhadri, Pallavi Mallampati, Venkatrama Phani Kumar Sistla et al.· Advances in computational in...· 0 citations
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 Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
MIT News · Artificial Intelligence· news.mit.eduOct 13, 2026
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.
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.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
