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generative ai

2,407 papers

#generative ai Sep 2026

Empowered yet unethical? Understanding GenAI misuse intention in generative AI chatbot use

Purpose This study examines whether generative AI chatbot features are associated with user autonomy and competence and whether these psychological states are, in turn, associated with GenAI misuse intention, conceptualized here as an empowerment backfire mechanism. Design/methodology/approach Drawing primarily on the...

Shiu‐Wan Hung, Jyun-Hao Jian · 0 citations
#generative ai Open access Sep 2026

Conceptual Study on the Depth of Thought Model (D = O \times A \times U) and Outcome Creation Capacity in the Generative AI Era

Abstract This paper presents a conceptual approach to capturing the tectonic shift in individual outcome-creation structures driven by the widespread adoption of Generative AI. Human cognition is defined at its core as the "Depth of Thought (D)," modeled as the multiplicative product of three factors: Observation (O),...

Hideo Kajino · 0 citations
#generative ai Open access Sep 2026

Phase Transition & Acid-Base Equilibrium Model] Dynamic Phase Transition Model of Outcome Creation under Human-AI Co-Creation — Critical Boundary Formalization of Depth of Thought (D_k) via Acid-Base Equilibrium Buffer Curves —

Abstract This paper introduces an acid-base equilibrium (titration curve) model from biochemistry as an analogy and dynamic mathematical framework to explain the non-linear jump phenomenon in outcome creation during interaction with Generative AI. Traditional project management and business performance metrics have rel...

Hideo Kajino · 0 citations
#large language models Open access Sep 2026

The prose penalty in AI-assisted authorship

Generative AI based on large language models (LLMs) is increasingly used in academic, journalistic, and other professional and online writing, yet its implications for human authorship remain contested. We asked whether assignment of authorship credit depends on which task within the larger writing process a writer del...

F. Feroz, Ivar R. Hannikainen, Jim A. C. Everett et al. · 0 citations
#generative ai Open access Sep 2026

Impact of Generative AI on Agile Software and Product Teams: A Structured Review and Human-in-the-Loop Adoption Framework

Abstract: Generative artificial intelligence (GenAI) is increasingly embedded in software engineering and product-development workflows, particularly through large language models that can generate code, tests, documentation, summaries, design alternatives, and natural-language explanations. This paper examines how suc...

Ekansh Tayade, Pranav Pagare, Darshan Aher et al. · 0 citations
#artificial intelligence Open access Sep 2026

Mathematical Resolution of Thermal and Electromagnetic Deadlock in Space-Based AI Computing (Ⅰ, Ⅱ, Ⅲ)

Confirmed date obtained2026.09.19 Saturday Around pm11:00 First acquisition2026.09.20 Sunday Around am05:30 Second acquisition The Orchestrated Breakout: Infrastructure Lockdown AbstractThis paper presents a definitive mathematical and structural demolition of the contemporary narrative surrounding autonomous artificia...

Kouji Murakami · 0 citations

How generative AI shapes eco-friendly accommodation choices

Purpose Despite the growing use of generative artificial intelligence (GenAI) in travel planning, limited research has examined how GenAI-related characteristics influence travelers’ eco-friendly accommodation choices. Guided by the “Stimulus–Organism–Response” framework, this study aims to examine how perceived intera...

Behzad Foroughi · 0 citations
#artificial intelligence Open access Sep 2026

Can Zero-Edit AI Art Have a Human Author? | A Five-Dimension Agency Framework, Tested Against Case Evidence

Generative artificial intelligence has created a difficult question for contemporary artistic practice: when a human artist conceives an artwork, directs a generative system, evaluates multiple outputs, selects a final image, and does not manually alter that image afterward, who should be regarded as its author? This r...

Jorge Vidaurre-Arguello · 0 citations
#artificial intelligence Open access Sep 2026

University students’ readiness for ChatGPT-assisted English learning: an explanatory mixed-methods study

It is suggested that learner readiness is dynamic, uneven, and context-dependent, highlighting the need to reconceptualize readiness beyond purely cognitive or technical dimensions in AI-assisted language learning.

Hien Viet Hoang, Huynh Manh Bui · 1 citation
#artificial intelligence Open access Sep 2026

Artificial Intelligence as a Catalyst for Educational Innovation at ITP: Perspectives and Challenges of Teaching Practice

This article analyzes the use and integration of Generative Artificial Intelligence (AI) in the teaching practices of the Technological Institute of Pachuca. In recent times, Technological Higher Education has rapidly incorporated AI, significantly impacting knowledge management by implementing new dynamics in teaching...

Regina Cruz Jiménez, Emilio Merlo Peña, Erika Gutiérrez González · 0 citations
#artificial intelligence Open access Sep 2026

Can Zero-Edit AI Art Have a Human Author? | A Five-Dimension Agency Framework, Tested Against Case Evidence

Generative artificial intelligence has created a difficult question for contemporary artistic practice: when a human artist conceives an artwork, directs a generative system, evaluates multiple outputs, selects a final image, and does not manually alter that image afterward, who should be regarded as its author? This r...

Jorge Vidaurre-Arguello · 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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