generative ai

Generation and Perception: A Computational Evaluation Method for Visual Quality and Emotional Impact in AI Artworks

Key contributions include proposing a multi-task learning framework for jointly optimizing visual quality and emotion, establishing the inaugural VAWE-Art dataset comprising 5,000 AI-generated images with 20-dimensional emotional annotations, and providing computational foundations for emotion-controllable generative a...

Bland new world: is AI making us all think the same?

Engineering student perceptions of generative AI use in learning trust judgment and information seeking

Generative AI is rapidly reshaping higher education, yet its influence on student learning in engineering remains insufficiently understood. In courses that require conceptual understanding, design reasoning, and problem-solving, AI tools may support learning by providing explanations, solution pathways, and feedback....

A Survey on Self-Improving Test-Time Intelligence: Feedback-Driven Adapting, Learning, and Scaling at Inference

The ability of AI systems to improve their behavior during deployment is becoming increasingly important. As inference moves beyond the static execution of a fixed trained model, a growing body of work studies how models can refine their behavior on the fly by exploiting test-time information and additional computation...

HiPoly: a hierarchical polymer-native AI framework for property prediction and generative design

HiPoly is introduced, a polymer-native AI framework that processes complete polymer descriptions through a three-level hierarchical graph architecture built on the G2RINS representation, demonstrating how polymer-native AI can accelerate discovery by linking representation, prediction, and design across complex polymer...

Retrosynthesis of Synthetic Media for Explainable AI Provenance Forensics

A self-referential retrosynthesis framework for explainable AI provenance forensics under a fixed-generator setting that leverages a jointly optimized encoder-decoder pair to implement a self-embedding mechanism that enables round-trip consistency verification.

Collective creativity in hybrid societies

It is argued that creativity in the context of generative AI is best understood as a property of hybrid collectives, or populations of interacting people and algorithms, rather than of individuals.

Large language medicine: defining a new paradigm in human health

This review explores the current state of AI in medicine, highlighting that current clinically mature and regulatory-approved products are based on deep learning architecture and are predominantly diagnostic.

Is open, distance, and digital education (ODDE) good for the environment? A systematic review of carbon footprint studies

This study presents a systematic review of research on the environmental sustainability of Open, Distance, and Digital Education (ODDE), focusing on its carbon footprint. Although higher education institutions (HEIs) are expected to reduce greenhouse gas emissions, the environmental impacts of teaching and learning mod...

Do Design Keywords Matter for Generative AI? An Empirical Study of a Design Element-Based Prompt Framework

When AI Joins the Diagnosis: How Doctor–AI Collaboration Shapes Perceived Doctor Responsibility Under Perceived Diagnostic Errors

When a diagnostic error is perceived, doctor–AI collaborative diagnosis reduces perceived doctor responsibility by increasing perceived shared agency, and this responsibility-reducing effect is weaker when the doctor rejects correct AI advice than when the doctor accepts incorrect AI advice.

Knowing what AI literacy is, but not yet how to teach it: A rapid review of teachers’ professional development needs and effective principles in higher education