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generative ai

2,363 papers

#generative ai Dataset Open access Sep 2026

Preventing Cognitive Offloading in Generative AI: Scaffolding Complex Design Reasoning for Transfer Beyond AI Assistance

This repository provides the de-identified replication dataset, instruments, and the frozen prompt-scaffolding package for the study: "Preventing Cognitive Offloading in Generative AI: Scaffolding Complex Design Reasoning for Transfer Beyond AI Assistance" Authors:** Rui Chen, Junqing Hao, Wei Zong* - Affiliation: Scho...

Rui Chen, Junqing Hao, Wei Zong · 0 citations
#generative ai Open access Sep 2026

The Structural Harmonic Spectrum (SHS): mapping atomic-scale architecture onto pitch-class sets

Full preprint of the Structural Harmonic Spectrum (SHS) study: the complete account, with the historical and methodological discussion, the proofs and the full result tables. The source code, the computed corpus of 288 structures over 581 crystallographically independent sites, the derived match listings and the render...

Anonymous · 0 citations
#generative ai Open access Sep 2026

Operate, Don't Replicate: Methodological Leakage in Enterprise AI — From Authorized Access to Unauthorized Inference

Security guidance for enterprise AI deployments is framed almost entirely around controlling access: to data, to system instructions, to tools, to documents. This paper identifies a related but distinct failure mode. A retrieval-grounded agent can infer and articulate a transferable design methodology from operational...

Gabriel Rodas · 0 citations
#generative ai Open access Sep 2026

Physical AI for Oncology Clinical Trials

Practical tools for integrating physical AI into oncology clinical trials. Provides production-ready configurations, validated pipelines, and integration guides for deploying robotic systems, digital twins, and embodied AI agents in oncology. Covers NVIDIA Isaac Lab, MuJoCo, ORBIT-Surgical, dVRK, and agentic/generative...

Kevin Kawchak · 0 citations
#generative ai Open access Sep 2026

Operate, Don't Replicate: Methodological Leakage in Enterprise AI — From Authorized Access to Unauthorized Inference

Security guidance for enterprise AI deployments is framed almost entirely around controlling access: to data, to system instructions, to tools, to documents. This paper identifies a related but distinct failure mode. A retrieval-grounded agent can infer and articulate a transferable design methodology from operational...

Gabriel Rodas · 0 citations
#generative ai Book Open access Sep 2026

Storm of the Desert: Truth, Power, and Conscience in Early Islam

This book presents a literary moral-philosophical biography of Hazrat Abu Dharr al-Ghifari (RA), one of the earliest converts to Islam and one of the most uncompromising voices of conscience in early Islamic history. Abu Dharr — known to the world as Jundub ibn Junadah — was a man of the desert who rejected the idols o...

Omar Muhammad · 0 citations
#generative ai Book Open access Sep 2026

Storm of the Desert: Truth, Power, and Conscience in Early Islam

This book presents a literary moral-philosophical biography of Hazrat Abu Dharr al-Ghifari (RA), one of the earliest converts to Islam and one of the most uncompromising voices of conscience in early Islamic history. Abu Dharr — known to the world as Jundub ibn Junadah — was a man of the desert who rejected the idols o...

Omar Muhammad · 0 citations
#generative ai Open access Sep 2026

PREreview of "Control the Harness, Control the Cost: Routing and Governing AI Coding Agents in the Enterprise"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22974223. Inside a coding-agent harness one user turn is many API requests on a prompt cache, and the authors route only where no live conversation needs that cache rebuilt. In an e...

Evgeny V. Arsentyev · 0 citations
#artificial intelligence Open access Sep 2026

Evaluating AI-Assisted Psychoeducational Report Writing: A Framework for Utility, Equity, and Defensibility

Psychoeducational reports translate assessment data into decisions about eligibility, services, and instruction, yet research documents persistent problems with their clarity, data-linkage, and usefulness to families and educators (Hale & Brown-Chidsey, 2023; Hite, 2026). Generative artificial intelligence (AI) has ent...

Adam B Lockwood · 0 citations
#artificial intelligence Open access Sep 2026

When Machines Know Everything: Redesigning Education Around What AI Cannot Replace — An Open Adaptive Competency Education (OACE) Architecture Integrating Reliance-Aware Assessment into Competency-Graph Progression

The rapid, near-universal availability of generative artificial intelligence has quietly dismantled a load-bearing assumption of modern education: that the ability to produce a correct answer, unaided, is a reliable proxy for competence. When a free chatbot can solve, explain, and format the majority of tasks assigned...

SM Shahbaj · 0 citations
#artificial intelligence Open access Sep 2026

Understanding Creativity in Human–AI Collaboration: How Cognitive Strategies and Student Profiles Relate to Students’ Creativity

Creativity is widely recognized as a critical competency for addressing the complex challenges of the twenty-first century. At the same time, Generative Artificial Intelligence (GenAI) is transforming how students learn, think, and solve problems in higher education. In human-AI collaboration, this study first identifi...

Kim van Broekhoven, Marian Hickendorff · 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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