arXiv AI
Jun 19
Creativity Reconsidered: Generative AI and the Problem of Intentional Agency
arXiv:2601. 15797v2 Announce Type: replace Abstract: Many theorists maintain that conscious intentional agency is a necessary condition of creativity.
Can an AI System Be Creative? A Critical Perspective from Art and Engineering
arXiv:2607. 20796v1 Announce Type: new Abstract: 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 and film director, writer, composer, and visual artist, and in philosophy.
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arXiv AI
Jul 21
The Aura in the Machine: Genealogy and the Status of the Work of Art in the Generative Era
arXiv:2607. 17940v1 Announce Type: cross Abstract: 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.
arXiv AI
Jun 12
Under What Conditions Can a Machine Become Genuinely Creative?
arXiv:2606. 13196v1 Announce Type: new Abstract: Recent AI systems can generate texts, software architectures, hypotheses, designs, and scientific workflows that appear creative.
arXiv AI
Jun 15
Under What Conditions Can a Machine Be Called Genuinely Creative?
arXiv:2606. 13196v2 Announce Type: replace Abstract: Recent AI systems can generate texts, software architectures, hypotheses, designs, and scientific workflows that appear creative.
arXiv AI
Sep 3
Collective creativity in hybrid societies
The article discusses how generative AI is reshaping the creation and circulation of cultural artifacts, prompting debate over whether these tools enrich or impoverish culture. It distinguishes between novelty—an attribute of individual artifacts—and diversity—an attribute of populations—arguing that creativity should be viewed as a property of hybrid collectives composed of people and algorithms. The authors find that AI-assisted ideation increases the novelty of individual outputs while potentially narrowing overall diversity, but that mixed human–machine groups can outperform single-type groups and sustain machine-generated solutions within human culture, depending on the composition and connectivity of the agents involved.
arXiv AI
Jun 2
Interaction-Centered Intelligence: Toward Interaction as the Primary Unit of Analysis in Co-Creative AI and Human-AI Systems
arXiv:2606. 00807v1 Announce Type: new Abstract: Traditional artificial intelligence has largely conceptualized intelligence as isolated computation occurring within bounded agents.
arXiv AI
Sep 1
Can LLM Agents Discover? Evaluating Creativity on ML Engineering Tasks
arXiv:2608.30047v1 Announce Type: new Abstract: Recent AI systems promise autonomous scientific discovery, claiming to discover algorithms and produce research papers, yet understanding whether they...
arXiv AI
Jun 12
Interaction-Centered Intelligence: Toward an Interaction-Based Theory of Human-AI Co-Creation
arXiv:2606. 00807v2 Announce Type: replace Abstract: Traditional artificial intelligence has largely conceptualized intelligence as isolated computation occurring within bounded agents.
arXiv AI
Jul 3
CreativityPrism: A Cross-Domain Evaluation Framework for Large Language Model Creativity
arXiv:2510. 20091v3 Announce Type: replace-cross Abstract: Creativity is often seen as a hallmark of human intelligence.
Hugging Face Trending Papers
Jul 29
AI as Friction for Reflection Support in Ideation
Generative AI tools for creative work tend to be designed around the goal of removing friction, on the assumption that smoother iteration and faster output translate into more value for the designer. We argue, however, that this framing leaves out something important about how design ideation works, namely reflection-in-action.
arXiv AI
Jun 6
Individual Gain, Collective Loss: Metacognitive Adaptation in AI-Assisted Creativity
arXiv:2606. 05532v1 Announce Type: new Abstract: Recent studies reveal a paradox: AI enhances individual creative outputs while reducing collective diversity.
arXiv AI
Jun 11
Automated Creativity Evaluation of Language Models Across Open-Ended Tasks
arXiv:2606. 11762v1 Announce Type: cross Abstract: Large language models (LLMs) have achieved remarkable progress in language understanding, reasoning, and generation, sparking growing interest in their creative potential.