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2,717 papers
Abstract Generative AI (GenAI) applications are non-deterministic. That is the same input can produce different outputs from run to run, and increasingly it is the prompt, not a line of code, that stands between an unpredictable model, and a system people can rely on. Despite this, most AI-powered applications (i.e., a...
The findings reveal a paradox of fluent unreliability: AI-generated errors are often indistinguishable from accurate content, and this risk is inversely distributed with student competence.
AI shifts musical creation by changing how performers and composers engage with instruments. Interviews with nine composers show three ways AI becomes embodied knowledge, moving resistance from physical effort to probabilistic navigation and reshaping affect and understanding.Composing and playing acoustic instruments...
# Supplementary Data Package This package contains this README and four supplementary workbooks needed to trace the study corpus, screening validation, reporting, and the evidence summarized in manuscript Tables 5 and 6. `Supplementary_Table_S1_Corpus_and_Search.xlsx` documents the evidence base used in the review. Its...
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Artificial intelligence is usually analysed as a productivity technology, a labour-market shock, or a governance problem. This article argues that its deeper political significance may arise from a fourth channel: ontological displacement. Ontological displacement occurs when a technology weakens the socially recognise...
ABSTRACT The rapid development of generative artificial intelligence, particularly language models such as GPT-4, has transformed human–machine interaction through the use of prompts across various contexts. However, the adaptive capabilities of these models introduce security challenges, particularly those involving p...
AI has significant potential to strengthen radiology education through personalized learning, competency development, and technology-enhanced training, Nevertheless, sustainable implementation requires standardized curricula, faculty development, competency frameworks, and robust ethical oversight.
The learning design, the role of generative AI as a support tool, and the value of real industrial challenges for automation education are discussed, and a positive perception of the activity is indicated.
Abstract This commentary examines the challenges that generative artificial intelligence poses to the authenticity and integrity of scientific data. It proposes data-attestation requirements to strengthen accountability, preserve access to original research records, and help journals and institutions distinguish authen...
A prospective review proposes a three-category taxonomy of the mechanisms through which AI triggers catastrophic, self-reinforcing market dislocations, or “flash crashes,” and concludes with policy recommendations on model-diversity mandates, real-time AI trading surveillance, adaptive circuit-breaker design, and cross...
Examination of the relationships between GenAI usage and three higher-order thinking skills, critical thinking, creative thinking, and computational thinking, and the moderating role of self-regulated learning indicated that the associations between GenAI use and higher-order thinking skills varied across levels of sel...
A Blog post by Liquid AI on Hugging Face
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.
Generative AI
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
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