AI accountability at scale is an institutional problem: who can observe, verify, and change deployed systems. We develop a sequential political-economy model in which an AI vendor chooses auditability and substantive mitigation, a deployer monitors after adoption while facing switching costs, and enforcement depends on...
Florian A. D. Burnat, Brittany I. Davidson· arXiv.org· 0 citations
This work contributes longitudinal evidence on sustaining 4DWW in agile software development and proposes two conceptual artifacts: a lifecycle model of the 4DWW and a 4DWW survival matrix, explaining how external pressures and management rationale rollback risk.
This review critically evaluates the role of AI throughout the cancer theranostic workflow, with a focus on its potential to address the key clinical and technical challenges that continue to limit the routine implementation of personalized radiopharmaceutical therapy.
Z. Mansouri, Y. Salimi, A. Akhavanallaf et al.· Molecular Imaging and Biolog...· 0 citations
The rise and extent of antimicrobial resistance demand computational tools that go beyond simple predictions of antimicrobial activity to deliver applicable medicinal chemistry insights for an accelerated and more efficient development of novel antimicrobials. Here, we present a fragment-based explainable artificial...
Abdulmujeeb T. Onawole, M. Blaskovich, Johannes Zuegg· ACS Infectious Diseases· 0 citations
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Artificial intelligence has intensified ethical, legal, and social inquiry, but generative systems expose a domain-specific limit in the conventional ELSI framework. This article argues that when AI operates as a cultural producer or perceptual mediator, aesthetics constitutes an analytically distinct dimension. AI-gen...
Byungkil Choi· Zenodo (CERN European Organi...· 0 citations
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22734670. What the paper claims This is an evidence map of 11,628 PubMed-indexed records on generative language models in healthcare, January 2023 to June 2026, built to answer one...
Evgeny V. Arsentyev· Zenodo (CERN European Organi...· 0 citations
With its high design freedom, wide material compatibility, and versatile processes, 3D printing technology has emerged as a revolutionary approach to the fabrication of flexible electronic devices, and has been shown to have tremendous applications in smart wearables, healthcare monitoring systems and soft robots. But...
This repository contains the extraction dataset, the explanation-evaluation reclassification, and the association analysis supporting the systematic mapping study of explainable artificial intelligence (XAI) in medicine (383 studies from Q1/Q2-indexed journals, 2020–2025).
Bello Sadeeq· Zenodo (CERN European Organi...· 0 citations
Communication education increasingly requires students to work across two linked capabilities: critically evaluating professional communication materials and using generative AI (GenAI) with judgment, transparency, and ethical care. This article presents a “Broken and Repair” case-study assessment, developed in a postg...
Triparna Gandhi, Tom Whitford· Communication Teacher· 0 citations
Artificial intelligence (AI) models, particularly deep learning and machine learning approaches, are increasingly developed for endodontic tasks, including detection of periapical pathosis, identification of vertical root fractures, characterisation of root canal morphology, and prediction of treatment outcomes. Most h...
Seyed AmirHossein Ourang, Ali Nosrat, Heliya Ziaei et al.· Open Science Framework· 0 citations
Artificial intelligence (AI) is increasingly used to support recruitment, skills analysis, learning, performance management and workforce planning. Yet many workforce decisions still depend heavily on static qualifications, curriculum vitae data, self-reported experience and periodic assessments. These sources remain v...
Rita Ebele Maduanusi· International Journal of Eng...· 0 citations
A road is thought to carry more the faster it runs. This paper shows that two states carry the same flow at speeds differing by 2.6180──and the maximum flow occurs at half the free-flow speed. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──the fundamental diagram o...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
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
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
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