generative ai

From Redaction to Restoration: Deep Learning for Medical Image Deidentification and Reconstruction.

This work presents an end-to-end deep learning framework for transforming raw clinical image volumes into de-identified, analysis-ready datasets without compromising downstream utility and automating de-identification and image reconstruction within a single workflow and disseminating large-scale medical imaging collec...

Blindness and epistemic injustice: a critical autoethnography of digital disablement in Thailand

Thailand’s digital transformation is presented as a route to inclusion, yet everyday accessibility remains unresolved for many disabled people. Combining policy document analysis with critical autoethnography, grounded in emancipatory disability research and analysed through a narrative approach, this article examines...

From psychometric measurement to AI-Assisted interpretation: a generative AI-supported adaptive assessment framework for early numeracy

This study aims to develop and validate a Generative AI-supported adaptive assessment framework integrating performance-based assessment, item response theory (IRT) and Generative AI to provide reliable measurement and individualized pedagogical interpretation of early numeracy competence. A psychometric val...

Design and Implementation of Large Language Model-Based Inference Pipeline for Fire Investigation

This study designed and implemented an on-premises generative artificial intelligence (AI)-based fire investigation support pipeline to effectively utilize unstructured fire incident overview information. Existing systems rely on structured fields and keyword-based searches, making it difficult to reflect the contextua...

The Ojeagbase Cognitive Governance Method for Sustainable Debt Recovery: A Five-Stage Board Framework for Deposit Money Banks in Nigeria

Abstract Purpose: This methodological paper introduces the Ojeagbase Cognitive Governance Method™, a novel five-stage board framework for governing distressed credit and non-performing loans (NPLs) in deposit money banks (DMBs). Existing bank governance codes emphasize structures and independence but provide limited ac...

Beyond simple structures: a bifactor-ESEM Approach to understanding student acceptance of generative AI in higher education

The Hybrid Paradox of the Modern Knowledge Worker / Das Hybrid-Paradoxon des modernen Geistesarbeiters

This bilingual paper (English/German) addresses the existential dilemma of the modern knowledge worker in the age of generative AI, balancing immense efficiency gains against the risk of stylistic flattening and factual hallucinations (as proven by recent data in The Lancet, May 2026). Written from the perspective of a...

Teacher-Facing AI in Education: A Systematic Review of Impact and A Taxonomy of Teacher-AI Teaming

Artificial intelligence (AI) is increasingly integrated into educational practice, promising to enhance teaching and learning. Yet delegating pedagogical tasks to AI raises concerns about teacher deskilling, erosion of professional judgement, and diminished agency. Drawing on the teacher-AI teaming taxonomy, we conduct...

Towards Responsible Generative AI in Education: Developing an Ethical and Human-Centric Framework

This paper observes the ever-growing role of generative artificial intelligence (Gen AI) in education.It highlights the emergence of tools like ChatGPT and the usage of said tools by all stakeholders including students, teachers, administrators and educational institutions.It explores the various policies on using Gen...

The Economics of AI Governance: Evaluating Data Sovereignty, Platform Monopolies, and the Digital Personal Data Protection Act (DPDPA)

This paper evaluates the economic and strategic implications of generative artificial intelligence architectures on market competition and digital asset ownership in 2026. Focusing on the intersection of platform economics and data governance, the study examines how modern foundation models create market asymmetries by...

From aesthetics to authenticity: a stimulus–organism–response model of audience responses to AI-generated intangible cultural heritage design

Generative AI is increasingly used in heritage visualization, yet its outputs often raise concerns about cultural authenticity. Prior studies have focused more on technical fidelity and symbolic preservation than on how audiences evaluate the authenticity of AI-generated heritage imagery. To address this gap, this stud...

Chimie organique : réactions et mécanismes en fiches visuelles

Guide visuel des réactions et mécanismes en chimie organique, conçu pour les étudiants de Licence 3. Apprendre la chimie organique commence par la constitution d'un répertoire de réactions : réactifs, conditions, régiosélectivité, stéréochimie. Cette étape absorbe l'essentiel du temps de travail et laisse peu de place...