21 papers · ranked by Valyu relevance
Juan Carlos Chávez-Autor
Large language models generate fluent text yet often fail to sustain novelty, task relevance, and diversity across extended contexts. We argue this shortfall persists because current systems implement only fragments of a tri-process loop that supports human creativity: spontaneous ideation in the default-mode network…
Antoine Bellemare-Pepin, François Lespinasse, Philipp Thölke, Yann Harel + 4 more
The recent surge of Large Language Models (LLMs) has led to claims that they are approaching a level of creativity akin to human capabilities. This idea has sparked a blend of excitement and apprehension. However, a critical piece that has been missing in this discourse is a systematic evaluation of LLMs’ semantic…
Silvia Rondini, Claudia Alvarez‐Martin, Paula Angermair‐Barkai, Olivier Penacchio + 5 more
While recent research suggests Large Language Models match human creative performance in divergent thinking tasks, visual creativity remains underexplored. This study compared image generation in human participants (Visual Artists and Non-Artists) and using an image-generation AI model (two prompting conditions with…
Giorgio Presti
This paper frames Generative Artificial Intelligence (AI) not as an unprecedented technological rupture, but as an industrial-scale manifestation of a deeply rooted historical process. Through a genealogy of generative arts, it shows how AI's questions on authorship and creativity have precise historical precedents. A…
Eun Jin Jung, Hea Jun Yoon
This study examines how artificial intelligence (AI) transforms human learning, creativity, and ethical engagement, with implications for future Human Resource Development (HRD). Drawing on Computational Creativity theory, a cross-domain case study analysis-including educational tools (e.g., Jill Watson, Cognii) and…
James S. Pearson, Matthew J. Dennis, Marc Cheong
Many theorists of creativity maintain that intentional agency is a necessary condition of creativity. We argue that this requirement, which we call the Intentional Agency Condition (IAC), should be rejected as a general condition of creativity, while retaining its relevance in specific contexts. We show that recent…
Ivan Magrin-Chagnolleau
This paper examines the question of whether artificial intelligence (AI) systems can be creative, approached from the dual perspective of a researcher trained in electrical engineering, pattern recognition, machine learning, and neural networks, who has also spent most of his life engaged in the arts as actor, stage…
Umberto Domanti, Lorenzo Campidelli, Sergio Agnoli, Antonella De Angeli
The application of generative artificial intelligence in Creativity Support Tools (CSTs) presents the challenge of interfacing two black boxes: the user's mind and the machine engine. According to Artificial Cognition, this challenge involves theories, methods, and constructs developed to study human creativity.…
Huan Lin, Letian Xie
Introduction The rise of generative AI (GenAI) has brought both opportunities and challenges to product design, raising the question of whether it stimulates or constrains creativity. This study empirically examines the effects of traditional and GenAI-assisted ideation methods on cognitive creativity and perceived…
Zeinabsadat Saghi, Run Huang, Souti Chattopadhyay
Creativity is fundamentally human. As AI takes on more of the generative work that once required human imagination, despite documented limitations in creative ability, a critical question emerges: How does GenAI affect users' creativity? Through a within-subject study followed by retrospective interviews with (N=20)…
Tzipi Horowitz-Kraus, Yoed N. Kenett, Dafna Link, Emeel Ashqar + 1 more
Generative AI can scaffold idea generation, but how it engages control, attention, and memory systems in the developing versus mature brain, and how this relates to creativity, remains unclear. We compared 6-7-year-old (N = 15) children and adults (N = 16) during a naturalistic 5-minute co-creative dialogue with…
Francesca Torno Jimenez, James Lloyd-Cox, Caroline Di Bernardi Luft, Maria Herrojo Ruiz + 1 more
Creative ideation involves a dynamic exchange between exploring new idea categories and exploiting familiar ones, reflecting optimal foraging principles. Although interoceptive signals, particularly cardiac activity, are associated with differences in attention and cognitive control, their role in explore-exploit…
Authors not listed
As the utilization of artificial intelligence (AI) and generative AI (GenAI) is expanding in the educational field, presenting significant implications for STEM disciplines, it is bringing opportunities to enhance how chemistry and chemical engineering are taught and learned. This perspective critically explores the…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
Authors not listed
Chemistry curricula often separate “wet” experimental work from “dry” computation, yet modern discovery increasingly demands both. This Perspective offers an instructor-ready roadmap to train “hybrid chemists” within existing courses. We distill recent advances in machine learning, automation, and real-time analytics…
Victor Altmayer, Sarah Moreno-Rodriguez, Marcela Ovando-Tellez, Benoît Béranger + 2 more
Creativity is a hallmark of human cognition, characterized by the ability to connect seemingly distant concepts or ideas. Existing theories suggest that remote thinking can be achieved either spontaneously (constrained by the structure of semantic memory) or in a goal-directed manner (constrained by a creative goal).…
Sarah Moreno-Rodriguez, Benoît Béranger, Emmanuelle Volle, Alizée Lopez-Persem
Creative thinking enables humans to innovate and solve problems, via the generation of candidate ideas, their evaluation and the selection of the most promising one. While recent studies have demonstrated that idea evaluation relies on the assignment of subjective values (the assessment of how much one likes an idea…
Preston P. Thakral, Kevin P. Madore, Ruth E. Gomez, Aleea L. Devitt
The ability to generate novel creative ideas (divergent thinking) is closely linked with our ability to imagine novel future events (episodic simulation). Here, we employed an individual differences approach to examine whether divergent thinking and episodic simulation are differentially associated with episodic and…
Authors not listed
Data-driven strategies are reshaping computational materials design by accelerating the prediction of novel compounds with targeted functionalities. Beyond high-throughput screening, the integration of generative artificial intelligence enables exploration across vast chemical spaces comprising millions of known and…
Authors not listed
Computational chemistry has entered a new era where machine learning (ML) models—particularly graph neural networks and machine learning force fields—routinely deliver quantum mechanical accuracy at classical speeds, scaling to millions of atoms and reshaping workflows in drug discovery, catalysis, and materials…
Anna Arkhipova, Pavel Hok, Markéta Trnečková, Gabriela Žatková + 2 more
Creativity is one of the unique cognitive constructs in human beings and its neurobiological correlates are one of the current hot topics in neuroscience. The “Different Hearing” program (DHP) is an educational activity aimed at stimulating musical creativity by means of group composing in the classroom, alternative to…