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generative ai

2,365 papers

#generative ai Open access Sep 2026

Hematoma expansion in intracerebral hemorrhage: neuroimaging biomarkers, radiomics-based prediction models, and clinical translation

Intracerebral hemorrhage (ICH) is associated with substantial morbidity and mortality, and early hematoma expansion (HE), defined as an increase in hematoma volume on follow-up imaging, is a major determinant of early neurological deterioration and poor outcomes. Accurate, hyperacute prediction of HE is critical for gu...

Haoliang Zhu, Tianyun Zhang, Hangzhe Sun et al. · 0 citations
#generative ai Open access Sep 2026

An Interpretivist Socio-Technical Research Framework for Understanding Antecedents for the integration of Artificial Intelligence in Financial Reporting

Artificial intelligence (AI) is increasingly entering accounting and financial reporting through automation, machine learning, natural language processing, predictive analytics and generative AI. This expansion has generated a rapidly growing literature concerned with adoption, acceptance, implementation, performance a...

Michesk Mushani, Nchimunya Chaamwe, Joseph Phiri et al. · 0 citations
#generative ai Review Open access Sep 2026

Systematically Reducing Hallucination in Generative AI from Users to Data to Models

This paper clarifies the above three aspects and how they work together to form a closed-loop hallucination cycle, starting with user feedback as a departure point, moving to the next step of turning error-correction signals into training instances at the data tier, and lastly to internalising the ability of veracity d...

Jun-Hua Chen · 0 citations
#generative ai Open access Sep 2026

When Clarity Creates Interpretive Load: A Policy Document Analysis of Student GenAI Governance in Assessment Across the UK's G5 Universities

While institutional policies on regulating student generative AI (GenAI) use in assessment have multiplied in higher education, their soaring number may not guarantee effective governance. Previous studies have highlighted persistent barriers including violation of academic integrity, student overreliance, and assessme...

Chen-Yu Shangguan · 0 citations
#generative ai Open access Sep 2026

Generative AI and the human touch: unpacking well-being in SME services

Results indicate that perceived knowledge about GenAI and perceived marketplace influence are positively associated with customers’ value co-creation behavior and how AI-enabled services contribute to social value primarily through functional value-in-use rather than emotional pathways.

Luan-Thanh Nguyen, Tri-Quan Dang, K. Ooi et al. · 0 citations
#generative ai Open access Sep 2026

Balancing human and artificial creativity: A paradox perspective on artistic production in the GenAI era

The relationship between creativity and artificial intelligence (AI) has attracted widespread attention from the public, corporations, and academia. Advanced AI-based examples of artistic production, such as AI generated music, poetry, and paintings, have started transforming the creative and cultural industries. This...

Galina V. Kondrateva, Patricia Baudier, Chantal Ammi · 0 citations
#generative ai Oct 2026

Generative AI in physics education: Approaches for instructors to integrate new tools with proven practices

Navigating generative artificial intelligence (GenAI) in higher education is a challenge for instructors, prompting calls for disciplinary guidance. This article connects current physics education research on GenAI with the Effective Practices for Physics Programs Guide, offering practical strategies for higher ed inst...

Melissa Eblen-Zayas · 0 citations
#generative ai Sep 2026

Faculty and Staff Program on Generative AI and the Construction of an AI ‐Assisted Knowledge‐Sharing Website

This study examines a faculty and staff program on generative AI at the Hokkaido University of Science and proposes a reusable AI‐assisted workflow for developing a knowledge‐sharing website. The program addressed fundamental concepts, applications, and ethical considerations for participants from diverse backgrounds....

Nobuyuki Sugio, Akihiro Suzuki, Naofumi Wada · 0 citations
#generative ai Sep 2026

Corporate AI Adoption Announcements and Stock Market Reactions

Since the launch of ChatGPT in late 2022, generative AI has become a major focus for global capital markets. However, the market reactions to AI-related announcements of listed companies are very heterogeneous, and the underlying mechanisms are still underexplored. In this study, this paper analyze AI announcements by...

Zi-Han Tu · 0 citations
#generative ai Sep 2026

Rien n’échappera à l’intelligence artificielle !

This article addresses AI’s structural footprint, the labor conditions behind annotation and subcontracting, and the AI 2027 scenarios, weighing what is already real against what remains speculative, and closes on concrete pathways for adopting AI without giving up trust.

Guillaume Soubiraa · 0 citations
#generative ai Open access Sep 2026

Patent landscape study on agentic AI systems and related technologies

Over the years, AI has progressed from task execution to autonomous systems creating a foundation for next–generation digital automation and intelligence. Early AI models such as Generative AI were designed to perform task based functions such as classification, search optimization, or rule–based decision making. The n...

Sivakami Dhulap, Kishore Sreenivasan, Prabuddha Ganguli · 0 citations

From tech blogs

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Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

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.

GPT-Lab Oct 12, 2026

AI Has Grown Up. Have We?

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.

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