How can we utilize ChatGPT and large-scale language models for consensus-building and crowd co-creation?

Abstract

ChatGPT and GPT-3.5, released by OpenAI in 2022, have become a social phenomenon, also known as the "democratization of AI," as they have been widely adopted by people unrelated to programming. Despite the problem that the responses generated by these large-scale language models have a high probability of containing false or fake information, they are capable of generating logical responses with respect to a very wide range of domains. If the possibility of including fakes is taken into account, such language models can be utilized to support ideas in the divergent phases of discussions and in idea workshops for solving social issues. There is also a possibility that the large-scale language model can be used to generate questions and structure discussions as facilitators do. In this paper, we introduce an evaluation experiment of a prototype using GPT-3 and dialogue examples about solving social issues on ChatGPT, and consider the possibility of its utilization.