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.

Father has knocked about the road Holidays a game resemble When the uncle's granny gets an idea from play The trip cannot go wrong Sauna the granny is happy on the way Her dog Wille is happy when granny arrives at the sauna * This is a poem co-created a couple of years ago by a primary school pupil and a computer. It was part of a study where schoolchildren wrote poems together with the Poetry Machine, a computer program designed at the University of Helsinki. The study focused on the co-creativity of humans and computers, a new field of study examining the ways in which computers are able to produce something considered creative. "Such products can be fine arts, music as well as stories, poems or other linguistic creations," says computer scientist Anna Kantosalo. Kantosalo, one of the developers of the Poetry Machine, discussed the development of the system and related user experiences among primary school children in her doctoral dissertation examined in August.