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

Zhangqi Liu

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arXiv · 2507.17774

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

Zhangqi Liu

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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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Zhangqi Liu. 2025-07-22. Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems. https://arxiv.org/abs/2507.17774

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