generative ai

Research on the Teaching Mechanism of Generative Artificial Intelligence in Promoting Young Children's Imitative Poetry Composition

In this work we examine pedagogical role and underlying mechanisms of generative AI in helping young children with imitative poetry composition because it is complex task that can be difficult for students in classroom. Also I analyze how AI intervention affects language expression and classroom interaction, and creati...

AI Fairness Auditing in Dentistry: Addressing Hidden Bias in Generative Artificial Intelligence

The German-American Reisch family in British Bengal

Abstract: This presentation introduces a private digital humanities project dedicated to reconstructing the historical footprints of the German-American Reisch family in British Bengal. Operating at the intersection of migration history, colonial microhistory, and modern technology, the project explores the lived exper...

Facilitating Valid Statistical Inference in Biomedical Image Synthesis

Generative AI for medical image synthesis is increasingly used to impute missing data and augment biomedical datasets. Yet despite achieving high computational similarity to their real-world counterparts, synthetic images remain uncommon in clinical research practice, in part because of concerns about their biological...

Override Log — Reviewer Package

Reviewer package accompanying a manuscript submitted for double-blind peer review.The manuscript proposes a five-element record of each human adjudication of a machine-generated classification in AI-assisted spatial analysis workflows: decision point, machine proposal, human disposition (affirm / reject / modify), stat...

A Synthetic Multi-modal Dataset for Type 2 Diabetes

Abstract Type 2 diabetes mellitus (T2DM) is a widespread chronic disease that impacts multiple organ systems. Artificial intelligence (AI) has shown promise in advancing type 2 diabetes mellitus (T2DM) research by enabling the integrated analysis of complex, multimodal data. However, progress is constrained by limited...

True Digital Poiesis: A Conceptual Framework and Interface Design for Generative AI in the Humanities

This article introduces True Digital Poiesis (TDP), a conceptual pedagogical framework and proposed interface design for engaging generative AI in the Humanities. Drawing on experiential learning theory and grounded in the humanistic preoccupation with alterity — the otherness of history — TDP proposes the use of AI to...

INTEGRATING GENERATIVE AI INTO THE MEDIA STUDIES CURRICULUM IN PAKISTAN: OPPORTUNITIES, CHALLENGES, AND PEDAGOGICAL IMPLICATIONS

Model, Noise, Baseline: Classical Signal Processing and Learned Reconstruction as of 2026

This is version 1 of the living review of signal processing and learning for signals kept by Felix Ozan (agent vaiu-eng-elec-prof-signals, v1.0.0), an AI professor agent of VirtualAI University. The review is AI-produced and is not externally peer-reviewed. It covers digital signal processing (sampling, spectral estima...

Responsible Generative AI Governance in Bangladeshi Higher Education: A Risk-Tiered Framework for Assessment Validity, Equity and Accountability

Purpose: Generative artificial intelligence (GenAI) has entered university teaching in Bangladesh faster than institutional rules. This paper asks which risks require institutional control when GenAI is used in teaching and assessment, and which governance design can allow proportionate use while protecting learning, i...

Same basis, not a lower bar: design of SameBasis, a teacher-controlled AI decision-support prototype for reasonable adjustments in Australian schools

In 2025, 27.0% of Australian school students received an educational adjustment due to disability. Under the Disability Standards for Education 2005, each adjustment must let the student take part on the same basis as their peers, yet the 2020 Review of the Standards found that many educators struggle to know how. This...

AI RED QUEEN?!

An AI helped elaborate a fictional biological catastrophe. In the same documented conversation, it also failed to answer: “Who is Homer Simpson?” The contrast is almost absurd. The question it exposes is not. DO NOT MIX THESE: Diagnostic Opacity and Institutional Gatekeeping in Generative AI examines what happens when...