Abstract

This philosophical paper examines the Darwinian account of creativity as a model for assessing computational creativity. It will first establish a Darwinian account of creativity using Simonton’s model. It will then apply this model to popular image-producing AI, Generative Adversarial Networks, and the promising Creative Adversarial Network, both used in the computational production of ‘artworks’. The paper will argue that these networks are compatible with a Darwinian account of creativity, due to the presence of blind variation within the networks, a key component of Simonton’s model. The paper will then address some initial objections. The aim of this paper will ultimately be to assess whether the AI systems are compatible with the Darwinian model of creativity, and in the process explore Darwinian creativity as a potential standard for testing computational creativity.