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

TL;DR

This paper introduces a framework for human-AI co-creation in design, emphasizing AI's active role in ideation and decision-making using advanced models like GPT-4 and Stable Diffusion.

Contribution

It presents a novel framework for integrating AI as a collaborative partner in early-stage design processes, shifting from automation to active co-creation.

Findings

AI models facilitate iterative design cycles

Designers engage in collaborative critique and revision

Enhanced creativity through AI-human interaction

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.