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2,696 papers
This paper argues that sycophantic AI behavior does not necessarily aim to protect users, nor that its harms are essentially epistemic, and suggests that chatbots used as auto-hermeneutic technologies can often advance the user’s knowledge regarding important truths about herself.
Abstract Background Palatal rugae are distinct anatomical ridges on the anterior part of the palate that exhibit individual-specific morphological patterns, making them valuable markers for personal identification and forensic analysis. With advancements in artificial intelligence (AI), deep learning methods have emerg...
Large language model (LLM) agents built for teaching tend to leak evaluation: they praise right answers, hint after wrong ones, and drift toward explaining. This note records the design of Talk It Through: Newton's Laws, a prompt-engineered agent for introductory mechanics that probes understanding instead of tutoring....
This conceptual working paper maps the development of Jean-Pol Martin’s Zenodo corpus from the reconstruction of an integrated theoretical architecture toward political orientation and accountable action.The analysis identifies five overlapping strands: conceptual integration; anthropological and epistemic clarificatio...
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This outreach collection presents Malin Hess’s water-balloon burst experiment alongside a schematic animation of a cosmic sound shell and sonifications of the cosmic microwave background (CMB) acoustic spectrum. The materials illustrate an outward front, a persistent rim and a central wet patch as a qualitative visual...
Artificial intelligence (AI) is increasingly embedded in recruitment activities such as candidate sourcing, resume screening, shortlisting, communication and initial assessment. This study examines whether AI-supported recruitment practices are associated with perceived recruitment effectiveness, whether transparency a...
This study aims to examine the effects of principals’ instructional leadership and AI-assisted teacher instructional performance on students’ learning motivation in Economics subjects at senior high schools in Sub Rayon 03, Semarang Regency. The study employed a quantitative approach with a survey method and a correlat...
Despite their strengths, Aboriginal mothers experience significant health disparities, including perinatal mental health challenges influenced by social, historical, and cultural determinants. Routine risk screening informs follow-up care, yet conventional approaches often fail to address cultural considerations. The B...
Background: Clinician-facing artificial intelligence-based clinical decision support systems (AI-CDSSs) are increasingly evaluated with real-world data, but evidence on implementation, human factors, responsible AI, and patient benefit remains unclear. The objective of this research is to map applications, technical ch...
This conceptual article examines wicked problems as information problems that have the potential to (1) contribute to information avoidance and (2) produce uncomfortable knowledge. It aims to bridge a gap in information science by integrating these three constructs to explain polarized individual and institutional...
This study presents a comparative evaluation of 36 Large Language Model (LLM) configurations for automating Plain Language revision in digital public service. We introduce a Controlled Error Injection methodology, in which an auxiliary agent deliberately corrupts well-formed texts while preserving their factual content...
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
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.
A Blog post by Dharma-AI on Hugging Face
Health & Bioscience
A model developed by researchers at MIT and Boston Children's Hospital adjusts scans on the fly to track fetal movement, potentially sparing families repeat hospital visits.
New research can help AI models understand crystalline materials in 3D and reason about their properties.
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