generative ai

Self-regularizing diffusion transformers with uncertainty-aware cross-modal contrastive learning for stable multimodal generative AI

The designer's turn: Reconfiguring professional identity for project innovation in the generative AI era

From compliance to strategy: artificial intelligence as a knowledge translation infrastructure in business ecosystems

The findings of this study show AI supports KT by reducing cognitive load, validating with science, encouraging peer learning and creating feedback loops for improvement, and shows how AI can change professional roles and bridge knowledge gaps among actors.

The effects of generative AI usage on employee innovation: Collaboration modes, idea journey, and decline in creative psychological ownership

Artificial Intelligence as a Pedagogical Bridge in Education Reform: Localizing EFL Listening Materials through Generative AI in Resource-Constrained Contexts

The study contributes to AI-in-education research by demonstrating how generative AI can strengthen teacher agency and support contextualized listening pedagogy in resource-constrained settings and recommends that teacher professional development and reform-oriented artificial-intelligence adoption prioritize prompt-me...

“I Really Feel Heard by AI”: A Cultural Case Study of AI-Mediated Listening Across China and the UK

This case situates AI-mediated listening within culturally specific moral relations of obligation and responsibility within culturally specific moral relations of obligation and responsibility, and reframes therapeutic automation as an index of the erosion of listening as a shared social good.

Generative AI emotion recognition from bodily gestures and vocal tone reveals modality-specific performance and positivity bias

GenAI models exhibit a non-humanlike social-cognitive profile, excelling with positive emotions but struggling with the negative content, highlighting the risks of integrating GenAI into sensitive fields and underscoring the need for continued validation.

Large Language Models in the Circular Economy: A Scoping Review of Applications, Emerging Patterns, and Governance Challenges

The findings show that large language models are used less as standalone decision-making tools and more as ways of organizing and mobilizing knowledge for practitioners and researchers, with roles ranging from design assistants and knowledge integrators to analytical components in larger modelling workflows.

Generative AI in Systems Analysis and Design Education: A Scoping Review

Prospective protocol record for a scoping review that will map and characterise how Generative AI is used, studied, and governed in Systems Analysis and Design education. The review distinguishes direct SAD evidence from adjacent and contextual evidence, uses three research questions covering the evidence landscape, Ge...

Developing Sustainable Interior Design Solutions Using Generative AI Technologies: A Case Study of a Residential Building

Explainable Deep Learning Model Generation (EDLMG)

This paper introduces a novel approach to generating explainable deep learning models, termed Explainable Deep Learning Model Generation (EDLMG). The core challenge in deploying deep learning models is their inherent lack of transparency, hindering trust and adoption. EDLMG addresses this by leveraging Generative Adver...

WP-106 — Generative Workflow Architecture: Deploying E8 Lattice for Real-Time Content Synthesis

Andrew's repeated requests for web pages, posters, scripts, and visual assets reveal a fundamental design pattern: the user expects a generative AI system to accept a brief, route it through E8 lattice geometry for semantic enrichment, and deliver a finished artifact via async output (Telegram, file link, or dashboard)...