Artificial intelligence (AI) is increasingly embedded in targeting, personalization, pricing, recommendation, and content-generation systems, intensifying concerns about algorithmic bias and its consequences for consumers and brands. This critical literature review synthesizes peer-reviewed and applied research publish...
Mohammadali Shahbandi· International Business &...· 0 citations
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Workplace sensing studies combine long-running behaviour traces with self-reports, yet the tools that collect those data often sit apart from the interface that returns results. We present TrustmeWatcher, the application built for the TRUST-ME project to connect this work. TrustmeWatcher reuses ActivityWatch's OS-level...
Cheng-Yu Yu, Leonor Costa, Zoja Anžur et al.· 0 citations
Neural-network (NN) controllers are increasingly used in nonlinear control systems, but their highly nonlinear behavior makes them difficult to explain and verify, raising trustworthiness concerns in safety- and mission-critical applications. A key step toward certifiable trustworthiness is to find a Forward-Invariant...
Automated dental implant planning using artificial intelligence (AI) faces challenges in interpretability, safety assurance, and applicability beyond single-tooth cases. This paper presents a unified explainable framework for cone-beam computed tomography (CBCT) that handles both single-tooth and consecutive multiple m...
Z. Zeng, Y. Jiang, J. Li et al.· medRxiv· 0 citations
A coordinated governance strategy integrating technical validation, regulatory alignment, traditional risk management, documentation, and necessary human oversight can enhance accountability while addressing the real-world constraints of complex AI systems in regulated banking settings.
Marjan Sultana Nuha· Pacific Journal of Advanced...· 0 citations
The findings suggest that meaningful GenAI-supported instructional design involves more than favourable technology appraisal; it also requires usable systems, culturally informed teacher judgement and careful evaluation of generated visual resources.
Macharious Nabang, H. B. Essel, A. Tachie-Menson et al.· Discover Education· 0 citations
Findings indicate that explainable machine learning models based on low-resource metrics can provide an accurate, interpretable, and scalable decision-support framework for training load monitoring in educational sport environments.
Seymur Aliyev, Avaz Tagiyev, M. Rahimov et al.· Sport Sciences for Health· 0 citations
Large language models such as ChatGPT are increasingly used in education, yet evidence on how to integrate them systematically into EFL academic writing pedagogy remains limited. This study examined a 16-week undergraduate EFL composition course at a national university in Taiwan that embedded ChatGPT within the 5E inq...
Ying-Hsueh Cheng· Asian-Pacific Journal of Sec...· 0 citations
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Microsoft Research Blog· microsoft.comOct 22, 2026
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.