Brainstorming Will Never Be the Same Again—A Human Group Supported by Artificial Intelligence

Abstract

A modification of the brainstorming process by the application of artificial intelligence (AI) was proposed. Here, we describe the design of the software system “kresilnik”, which enables hybrid work between a human group and AI. The proposed system integrates the Open AI-GPT-3.5–turbo model with the server side providing the results to clients. The proposed architecture provides the possibility to not only generate ideas but also categorize them and set priorities. With the developed prototype, 760 ideas were generated on the topic of the design of the Gorenjska region’s development plan with eight different temperatures with the OpenAI-GPT-3.5-turbo algorithm. For the set of generated ideas, the entropy was determined, as well as the time needed for their generation. The distributions of the entropy of the ideas generated by the human-generated and the AI-generated sets of ideas of the OpenAI-GPT-3.5–turbo algorithm at different temperatures are provided in the form of histograms. Ideas are presented as word clouds and histograms for the human group and the AI-generated sets. A comparison of the process of generating ideas between the human group and AI was conducted. The statistical Mann-Whitney U-test was performed, which confirmed the significant differences in the average entropy of the generated ideas. Correlations between the length of the generated ideas and the time needed were determined for the human group and AI. The distributions for the time needed and the length of the ideas were determined, which are possible indicators to distinguish between human and artificial processes of generating ideas.

Brainstorming and Artificial Intelligence

“…Now, arguably, the best chess player is a hybrid of human intuition and nonhuman computation (e.g., Litt, 2020). Returning to the main thrust of this essay, recent research examines how negative attitudes toward AI can counteract the potentially positive impact of using AI in the context of brainstorming (Yu-Han & Chun-Ching, 2023), explores the potential of integrating human and AI idea generation in the context of brainstorming (Lavrič & Škraba, 2023), and demonstrates, in experimental research, how, using the same intervention script, "brainstorming with a [perceived] chatbot led participants to produce more ideas, with more diversity than brainstorming with an alleged human being" (Wieland et al, 2022: 1). Similarly, there is preliminary work on the use of AI in scenario planning, for example, using AI to gather risk drivers and produce alternatives futures (Sohrabi et al, 2018), research demonstrating the limited ability to AI to differentiate between multiple time horizons (Kozachek, 2023), the (in)ability of AI to predict recent world events (Jungwirth & Haluza, 2023), and, closest to the aims of this chapter, preliminary reflections on the use of AI in the facilitation of scenario planning workshops (Spaniol & Rowland, 2023).…”

Next Dynamics in Designing Artificial Intelligence to Support Tourism Development

“…Simulation and augmentation features of AI enable stakeholders to assess alternative options and select the most suitable onesOzkul & Kumlu (2019). Policymakers benefit from AI recommendations in addition to traditional brainstorming and policy formulation processesLahti (2023),Lavrič & Škraba (2023),Habib et al…”