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.
@article{arxiv.2507.17774,
title = {Human-AI Co-Creation: A Framework for Collaborative Design in Intelligent Systems},
author = {Zhangqi Liu},
journal= {arXiv preprint arXiv:2507.17774},
year = {2025}
}