Research suggests that generative AI (GAI) responds to divergent thinking (DT) prompts with multiple ideas, some of which seem to be original. The present investigation administered 55 DT tasks to three GAI services (Bard, GPT 3.5, and GPT 4.0). Instead of examining individual responses, an Idea Density algorithm was used to assess the output.…

Much has been made of the apparent capacity for creativity of generative AI. However, as research expands the knowledge base regarding the capabilities and performance of this technology, the prevailing view is shifting away from "AI is creative" and towards a more balanced model of Human-AI co-creativity. Nevertheless, even this…

This article describes a "straight-A" model of the creative process. It characterizes the creative process in five overlapping phases, with the variables most affecting those phases characterized as: (1) activators, (2) abilities, (3) amplifiers, (4) appeal to audience, and (5) assessment by audience. The creative process does not…

Creativity testing as it is now done is often based on a defective assumption that different kinds of creativity can be compressed into a single unidimensional scale. There is no reason to believe that the different kinds of creativity represent, simply, different amounts of a single unidimensional construct. The article shows how three different…

This introductory article discusses a blind-variation and selective-retention model of the creative process developed by Donald Campbell. According to Campbell, creativity contains three conditions: a mechanism for introducing variation, a consistent selection process, and a mechanism for preserving and reproducing selected variations. (Author/CR)