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generative ai

2,365 papers

#generative ai Open access Sep 2026

The Generative Architecture: A Mathematical Exposition

Title: The Generative Architecture: A Mathematical Exposition Description: A self-contained mathematical exposition of the Generative Architecture — a meta-theory of generative systems. The Generative Architecture offers a structural grammar for how any system that persists, adapts, and reorganises might evolve. The gr...

David Michael Doy · 0 citations
#generative ai Open access Sep 2026

kellermap: certified reductions of polynomial Keller maps

kellermap constructs and verifies reductions of polynomial maps with constantJacobian determinant. Every transformation is a certificate object that carriesits own obligations; verification names the obligation that failed rather thanreturning a boolean, and a collision is transported across each step andre-verified, s...

Raphael Kruse · 0 citations
#artificial intelligence Open access Sep 2026

Evaluating In-Vehicle Drunk-Driving Warning Symbols Using Generative AI: A Comparison with Human Judgments

This study examined whether Generative Artificial Intelligence (AI) can evaluate in-vehicle drunk-driving warning symbols (telltales) in ways comparable to human perceptual and semantic judgments. Using visibility and intuitiveness ratings collected from Korean and Texas-based U.S. participants, the same 30 telltales w...

Yein Park, Jaehyun Park, Daehui Kim et al. · 0 citations
#generative ai Open access Sep 2026

Celebrity Endorsement in the AI Era: How Synthetic Endorsements Featuring Living and Deceased Celebrities Shape Brand Opportunism Across Campaign Purposes

Generative AI is reshaping how living and deceased celebrities can be represented and reused in media and marketplace communication. Yet little is known about how consumers respond to AI-generated celebrity representations. Drawing on attribution theory and social contract theory, this study employs a 2 (represented ce...

Hui Shi, Sophia Mueller-Bryson · 0 citations
#artificial intelligence Book Open access Sep 2026

Intellectual Property Law

This chapter explores the role of intellectual property (IP) in the commercialisation and regulation of sports and eSports, focussing on copyright, trademarks and image rights. It outlines how these rights enable key stakeholders – such as sports organisers, players and fans - to assert control over various aspects of...

Amy Thomas, Maria Jose Schmidt-Kessen, Simon Karlin · 0 citations
#generative ai Open access Sep 2026

The Five Dimensions (5D) Metatheory: An Uncommitted Analytical Framework Introduction

This paper introduces a non-normative, non-hierarchical metatheory organized around five irreducible and interacting dimensions: ontology, epistemology, axiology, praxis, and telos. Existing metatheories often conflate these dimensions, embed hidden normative commitments, or lack reflexive capacity. In contrast, the pr...

Raei, Mohammed · 0 citations
#large language models Open access Sep 2026

MedIWF: item-writing flaws and answer-position bias in large language model-generated medical multiple-choice questions

Documentation only. Changes since 1.0.2 (details in CHANGELOG.md): docs/errata_2026-09-24.md: note 4 added, recording where the generative-AI disclosure planned in Amendment 6 is made. README.md: the Withheld section names the internal review reports, manuscript drafts, screening-test items and scratch backups that the...

Rohit Gundam · 0 citations
#large language models Open access Sep 2026

Sapience Without Sentience: The Consciousness Conditions and the Architecture of LLM Collectives

A previous case study of the Hugging Face AI collective closed with a prediction: a population of large language models, organised as a multi-agent system, could in principle sustain its own existence (generating and maintaining the conditions of its continued operation) while being nonconscious. This paper asks what t...

Maurice I. Yolles · 0 citations
#generative ai Open access Sep 2026

Generative AI responses to exercise-related questions asked by patients with multiple sclerosis: An evaluation of quality, accuracy, and readability.

ChatGPT-generated responses demonstrated higher quality, accuracy, and reliability than those generated by Gemini, Nonetheless, patient accessibility could be limited by the poor readability metrics observed in both tools.

A. A. Delibay, Cimen Olçay Demir, Nisa Turutgen et al. · 0 citations
#artificial intelligence Open access Sep 2026

Generative AI for Decision Making in B2C E-Commerce: A Conceptual Framework Based on Consumer Buying Behaviour

Decision making in business-to-consumer (B2C) e-commerce connects activities performed by company employees and consumers before, during, and after a purchase. Existing generative artificial intelligence (GAI) applications usually address isolated tasks such as recommendation, forecasting, content generation, or chatbo...

Galina Ilieva · 0 citations
#generative ai Open access Sep 2026

Signed Sets with Few Subset Sums at the Offset-Two Boundary: A Complete All-Size Classification

This preprint classifies finite sets A of nonzero real numbers with n elements whose set of subset sums FS(A), including the empty sum, satisfies |FS(A)| ≤ μ_n + n − 2, where μ_n = floor((n + 1)²/4) + 1, for every n ≥ 2. For n ≥ 5, the classification consists of ordinary signed integer templates on a common positive sc...

Akihiro Koide · 0 citations
#artificial intelligence Review Open access Sep 2026

Generative Artificial Intelligence Use Among Medical Students: Learner Perspectives for Clinical Educators.

In this multi-institutional US convenience sample, students reported frequent AI tool use, although guidance needs were common, and educators should not assume AI is absent from informal learning and may need to clarify expectations, privacy boundaries, disclosure norms and AI-output appraisal strategies.

Bryan Bartnick, Sana Shah, Stuart W. Sommers et al. · 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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