Value‑aware AI systems require explicit computational representations of human values (groundings) and their aggregation into value systems in order to align their decisions with ours. As such representations are difficult to elicit, value learning seeks to infer them by observing human behaviour. This work addresses t...
Andrés Holgado-Sánchez, Holger Billhardt, Sascha Ossowskí· Proceedings of the AAAI/ACM...· 0 citations
Preliminary, context-specific evidence that combining multimodal learner information with interpretable adaptive support may contribute to language development, engagement, and metacognitive reading-strategy awareness while preserving meaningful human oversight is provided.
Houda Boumediene, A. Aljohani, M. Bouakkaz· Acta Psychologica· 0 citations
INTRODUCTION
Although preventable, dental caries remains a global public health challenge due to its multifactorial nature and the deep influence of socio-structural determinants. This study evaluates the performance of Artificial Intelligence (AI) models as decision-support frameworks for population-level risk strati...
Jessye Melgarejo Do Amaral Giordani, Orlando Luiz Do Amaral, Maria Laura Braccini Fagundes et al.· Caries Research· 0 citations
Background: Attention-Deficit/Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder characterized by persistent symptoms of inattention, hyperactivity, and impulsivity that significantly affect cognitive, academic, and social functioning. Although electroencephalography (EEG) has emerged as a promising...
F. Rohani, S. Mostafavi, P. Ebrahimifakhar et al.· medRxiv· 0 citations
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How AI value in urban mobility emerges through conditional enablement across infrastructure, operations, services and sustainability layers, and contributes to enterprise information management by explaining how data, systems, governance and ecosystem coordination shape interconnected AI-enabled value creation is shown...
Ming-Ye Li, A. Molla, S. Duan· Journal of Enterprise Inform...· 0 citations
The widespread adoption of artificial intelligence (AI) in human resource (HR) practices has led to a growing number of organizations trying to understand the use of AI in recruitment. While AI is increasingly embedded in HR practices, few studies focus on how trust in AI is formed and how it shapes the adoption of...
Ann-Sophie Hahn, L. F. Martinez, A. Ferreira· Journal of Organizational Ef...· 0 citations
This narrative review synthesizes literature from 2015 to 2025 without a formal systematic methodology and concludes with three priority areas for AI-microbiome translation: improved interpretability, longitudinal modeling, and clinical integration.
Ikram Khan, Imran Khan, Uzma Noor et al.· Archives of Microbiology· 0 citations
Classroom Teaching Quality Evaluation (CTQE) constitutes a core component of human-AI collaborative education systems; however, existing methods exhibit significant deficiencies in the systematic importance ranking of multimodal features. This paper proposes the Multimodal Feature Importance Ranking via Multi-model Ens...
Yun-Fei Feng, Hong-Wu Qin, Guo-Yong Liu et al.· Discover Artificial Intellig...· 0 citations
This study examined the effect of AI-powered skills on learning outcomes of ND/HND Accountancy students in Financial Accounting in Waziri Umaru Federal Polytechnic, Birnin Kebbi, Nigeria. The study adopted quasi-experimental research design of pre-test post-test non-equivalent control group. Two research questions and...
SULEIMAN MUHAMMAD YAURI· International Journal of Bus...· 0 citations
Health issues are among the major concerns for people nowadays. Cancer remains one of the leading causes of mortality worldwide, and many are suffering from it. Out of these, skin cancer is also one of its kind and the deadliest. According to estimates, the number of new melanoma cases has surged in recent years, and t...
Paparao Mekala, B. Surendiran· Journal of Applied Science a...· 0 citations
Digital markets display a common monetization contrast: broad common interfaces often rely substantially on advertisers, merchants, enterprise customers, or other business-side actors, whereas narrower products more readily sustain direct consumer pricing. Existing research explains important parts of this contrast thr...
Jian Ding, Yixiao Zhou· Journal of theoretical and a...· 0 citations
Background: Explainable artificial intelligence (XAI) may support earlier detection of chronic disease, but Saudi-specific evidence has not been systematically characterized. Objective: To synthesize Saudi patient-level studies of AI/XAI for chronic-disease prediction and assess clinical readiness. Methods: PubMed and...
Abdelwahid Awadalla, Almuazel Aalaa, Taglwy Malaz et al.· International Journal of Art...· 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.
