generative ai

Beyond Text Generation: A Systematic Review of Human Language, Cognition, and Meaning Construction in the Era of Generative Artificial Intelligence

Generative Artificial Intelligence (AI), particularly Large Language Models (LLMs), has introduced new forms of interaction between humans and language technologies beyond automated text generation. This study aims to examine how generative AI transforms human language processes, cognitive activities, and meaning const...

DreamFold: A World Model to efficiently generate protein folding pathways in the latent space.

While there is an abundance of static data for the structure of biological macromolecules, the data regarding their folding mechanisms and dynamics is scarce, posing a challenge to the training of AI models. The World Model approach, which has been very successful in robotics, can come in handy in this regard. From lim...

What Makes a Good Generative AI Use Declaration? Good Practice Recommendations.

Why and How People Check Generative AI Output for Mistakes

Generative AI output can contain errors, such as hallucinations, non-responsive results, or otherwise inaccurate or potentially harmful content. To explore the public's emerging understanding, attitudes, and behavior regarding such mistakes, we ran an online survey in the United States with 1,503 respondents, with a re...

GUIDED BY INNOVATION: A PHENOMENOLOGICAL STUDY OF VIRTUAL ELEMENTARY TEACHERS’ PERCEPTIONS OF GENERATIVE ARTIFICIAL INTELLIGENCE INTEGRATION

The purpose of this qualitative phenomenological study was to explore the lived experiences of elementary virtual teachers who integrate generative artificial intelligence (GAI) tools in their pedagogical practices at a large elementary virtual school. Participants were purposively sampled because those in the specifie...

Polymer informatics: A review of ai-driven structure-property modeling and material design

Polymer science is undergoing a profound paradigm shift from labor-intensive, empirical trial-and-error experimentation to AI-guided, data-driven, and predictive material design. Owing to their multiscale structural diversity (spanning atomic connectivity, chain-packing behavior, and macroscopic morphology), polymer ma...

Efficiency vs. safety in AI-enabled medical education: an ethical analysis of AI as a bridge or a wedge

Abstract: Artificial intelligence is rapidly changing medical education, promising faster workflows and richer learning resources while quietly reshaping how future clinicians think and act. This paper examines the central tension between efficiency and safety in AI-enabled medical education, asking when AI functions a...

Creative Practice Challenging Dominant Generative AI Discourses

Human predictive control of welding robot through generative AI enhanced human-robot collaboration

Diagnosing child and adolescent mental health conditions using generative AI: closed-source models are more accurate than open-source models

Design implications from research trends in generative AI for mathematics learning in higher education: A bibliometric study

Team Experience and Human Authorship in Creative Writing with AI: The Role of Artistic Background

The preliminary findings suggest that experiencing AI as a collaborative partner is not necessarily in tension with feeling like the author of the work, and highlight the importance of studying alternative non-conversational interface paradigms that help integrate AI into a human-led creative process.