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generative ai

2,407 papers

#generative ai Dataset Open access Sep 2026

DEVELOPING CRITICAL EVALUATION COMPETENCE OF PROSPECTIVE ENGLISH LANGUAGE TEACHERS THROUGH GENERATIVE AI

The integration of generative artificial intelligence into foreign language education is changing the ways in which teaching materials are created, adapted, and evaluated. AI-based applications can provide prospective English language teachers with a wide range of resources, including texts, exercises, lesson plans, as...

Kurbonova Mexriya Doli qizi · 0 citations
#generative ai Open access Sep 2026

BurnSight: code for a feasibility framework for generative short-term forecasting of burn wound images from sequential clinical photographs

Code accompanying the manuscript "BurnSight, a feasibility framework for generative short-term forecasting of burn wound images from sequential clinical photographs." BurnSight forecasts the next-day appearance of a burn wound from a short sequence of clinical photographs, using a K-conditioned ConvLSTM Creator with re...

Myong Jin Kim · 0 citations
#generative ai Open access Sep 2026

The Death of the Reader 2.0: From Roland Barthes' Scriptor to the AI Prompter

Roland Barthes' declaration of the "death of the Author" in 1967 appeared to dismantle one of the central hierarchies of modern textual culture: the belief that meaning originates in an autonomous consciousness standing behind the text. Yet Barthes did not remove the human subject from the communicative circuit. He tra...

Peter Ayolov · 0 citations
#generative ai Dataset Open access Sep 2026

Survey Dataset on Hallucination Risk and Students' Continuance Intention toward Multimodal Generative AI: The Mediating Role of Attitude

This dataset contains anonymized survey responses collected for the study titled “Hallucination Risk and Students’ Continuance Intention toward Multimodal Generative AI: The Mediating Role of Attitude.” The study examines factors influencing university students’ continuance intention to use Multimodal Generative AI for...

Vinisa Cahya · 0 citations
#generative ai Open access Sep 2026

What energy statistics cannot reveal: quantum records and probe response

Even the full outcome distribution of a specified diagonal Hamiltonian does not determine where a quantum memory stores readable information or how a probe can resolve it. We construct environmental encodings with identical populations and source states: one distributes a binary label across individual fragments, where...

Ahmet Faruk Arapoglu · 0 citations
#generative ai Open access Sep 2026

From Critique to Analysis, and Ultimately to Deep Understanding: Teaching Students to Read Clinical Research Articles in the AI Era

Teaching students to read clinical research has often been organised around journal critique and the identification of methodological weaknesses. Although critical appraisal remains essential, a fault-finding approach can reduce reading to a checklist of errors. This working paper traces an approximately twenty-year ev...

Sajee Sattayut · 0 citations
#generative ai Open access Sep 2026

From Disruption to Agency: AI, Computing Cultures, and the Future of Digital Ethics

Artificial intelligence is often presented today as an unprecedented technological disruption, but its central ethical questions—concerning automation, human agency and flourishing, accountability, access, labor, and environmental cost—have deep roots in the histories of computing, science, communication, and technolog...

George K. Thiruvathukal · 0 citations
#generative ai Open access Sep 2026

Fides et Speculum: The Mirror That Refuses: Constitutional AI Integrity and Sovereign Pedagogy in Higher Education

Higher-education responses to generative artificial intelligence remain dominated by disclosure, detection, assessment redesign, and post hoc enforcement. These measures are necessary but incomplete because they govern the human-AI relationship primarily from outside the system. This conceptual and design-based paper d...

Byron Bunt · 0 citations
#generative ai Open access Sep 2026

Generative AI Adoption in Banking Institutions: A Design Science Approach to Addressing Trust, Data Sovereignty, Cost and Workforce Resistance Barriers

Despite significant pilot activity in Generative AI across financial institutions (78% running active pilots), only a fraction transition these projects into operational production. While commercial maturity exists for underlying technologies such as retrieval-augmented generation and private endpoints, significant org...

Rakesh Ganesan · 0 citations
#generative ai Open access Sep 2026

Conservation, symmetry, and nonlinear exchange in a shearing self-gravitating magnetofluid

This deposit presents “Conservation, symmetry, and nonlinear exchange in a shearing self-gravitating magnetofluid,” together with supplementary material and compact supporting evidence.The study connects conservation accounting, symmetry-dependent observability, and controlled nonlinear evolution in an eight-component...

Jake Campbell · 0 citations
#generative ai Open access Sep 2026

Invisible Image Watermark Attacks: A Survey

Invisible image watermarking supports copyright protection, provenance tracing, and AI-generated content governance. However, deep encoder-decoder and generative watermarks, public image editors, and latent-space reconstruction have transformed watermark attacks into a rapidly evolving landscape beyond conventional dis...

Jidong Yang, Qi Li, Huaike Yu et al. · 0 citations

From tech blogs

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GPT-Lab Oct 14, 2026

Building trustworthy AI: The role of AI harnesses, intent contracts and evals

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 Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.

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.

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