A new horizon for possibility thinking: A conceptual case study of Human × AI collaboration
Ronald A. Beghetto
Abstract
Possibility thinking (PT) can be described as an imaginative and action-oriented process that drives movement from what is to what could be. The promise of PT is most fully realized in collaboration with others. With recent advances in AI, it can be argued that natural language models (e.g. OpenAI’s GPT models) represent a possible “other” for such collaborations. This article aims to illustrate, through a conceptual case study, how Human × AI collaboration can support PT. The article opens with a brief overview of the basic principles of PT and how those principles can be applied in Human × AI collaboration. Next, a conceptual case study will be presented, which reports on six examples of Human × AI collaborations used for PT. The article closes with a brief discussion of implications and future directions, including the importance of developing a principled approach when using AI for PT. This article likely will be of interest to broad audiences within and across domains, including readers focused on human-centered AI collaborations and anyone interested in learning more about new and emerging ways to generate possibilities in their learning, work, and lives.