Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems

• URL: http://arxiv.org/abs/2507.17774v1
• Date: Tue, 22 Jul 2025 04:29:33 GMT
• Title: Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems
• Authors: Zhangqi Liu,
• Abstract summary: This paper explores the emergent paradigm of human-AI co-creation, where AI is not merely used for automation or efficiency gains, but actively participates in ideation, visual conceptualization, and decision-making.<n>Specifically, we investigate the use of large language models (LLMs) like GPT-4 and multimodal diffusion models such as Stable Diffusion as creative agents that engage designers in iterative cycles of proposal, critique, and revision.
• Score: 0.6526824510982802
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: As artificial intelligence (AI) continues to evolve from a back-end computational tool into an interactive, generative collaborator, its integration into early-stage design processes demands a rethinking of traditional workflows in human-centered design. This paper explores the emergent paradigm of human-AI co-creation, where AI is not merely used for automation or efficiency gains, but actively participates in ideation, visual conceptualization, and decision-making. Specifically, we investigate the use of large language models (LLMs) like GPT-4 and multimodal diffusion models such as Stable Diffusion as creative agents that engage designers in iterative cycles of proposal, critique, and revision.

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