CHAI-DT: A Framework for Prompting Conversational Generative AI Agents to Actively Participate in Co-Creation

TL;DR

This paper introduces CHAI-DT, a prompting framework for conversational AI agents to actively participate in co-creative design processes, demonstrating their potential to enhance ideation and problem-solving.

Contribution

The paper proposes a novel prompting technique inspired by human facilitation methods, enabling AI agents to actively contribute in co-creative Design Thinking activities.

Findings

AI agents can provide context-specific, useful input

Active participation improves co-creative problem solving

Framework shows potential for enhancing business innovation

Abstract

This paper explores the potential for utilizing generative AI models in group-focused co-creative frameworks to enhance problem solving and ideation in business innovation and co-creation contexts, and proposes a novel prompting technique for conversational generative AI agents which employ methods inspired by traditional 'human-to-human' facilitation and instruction to enable active contribution to Design Thinking, a co-creative framework. Through experiments using this prompting technique, we gather evidence that conversational generative transformers (i.e. ChatGPT) have the capability to contribute context-specific, useful, and creative input into Design Thinking activities. We also discuss the potential benefits, limitations, and risks associated with using generative AI models in co-creative ideation and provide recommendations for future research.