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
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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
The increasing sophistication of cyber threats demands more effective and reliable detection systems. However, many current Artificial Intelligence (AI)-based cybersecurity solutions operate as "black boxes," lacking transparency and hindering trust. This research addresses this critical gap by integrating Explainable...
Jincheng Zhang· Zenodo (CERN European Organi...· 0 citations
Abstract Whether the spatial geometry implied by a quantum state can be recovered from its entanglement structure is a central question in the "space from Hilbert space" program. We study the sharpest tractable version of this question: can equal-time mutual information (MI) detect metric inhomogeneity, as opposed to t...
Anonymous· Zenodo (CERN European Organi...· 0 citations
Quantitative evaluation using TMAI and complementary XAI methods provides additional evidence that the model's predictions are grounded in clinically relevant lesion regions rather than background artefacts, supporting the potential of the framework for accurate and interpretable automated skin lesion classification.
NE. Sravani, Srinivas Koppu· Frontiers in Public Health· 0 citations
PA was associated with lower risk and more favorable transition patterns, although transitions to less impaired states should not be interpreted as definitive functional recovery, and Multistate Markov analyses suggested dynamic cognitive-physical state transitions.
Zhen-Hao Lin, Hao-Nan Liu, Young-Je Sim et al.· European Review of Aging and...· 0 citations
The study concluded that Artificial Intelligence adoption significantly enhanced decision-making effectiveness in the public sector and recommended increased investment in AI technologies, digital infrastructure, employee training, and responsible AI governance, while maintaining appropriate human oversight.
Belvin Keitany, Stephene Oloo Magadi· International Journal of Sci...· 0 citations
Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.
Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduNov 2, 2026
The MIT professors collaborated to identify the first AI-discovered antibiotic, a scientific breakthrough that is widely recognized as a milestone in AI-driven drug discovery.
MIT News · Artificial Intelligence· news.mit.eduOct 30, 2026
MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.
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