Alice C Helliwell

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.

Andy Clark and David Chalmers’s theory of extended mind can be reevaluated in today’s world to include computational and Artificial Intelligence (AI) technology. This paper argues that AI can be an extension of human mind, and that if we agree that AI can have mind, it too can be extended. It goes on to explore the example of Ganbreeder, an image-making AI which utilizes human input to direct behavior. Ganbreeder represents one way in which AI extended mind could be achieved. The argument of this paper is that AI can utilize human input as a social extension of mind, allowing AI to access the external world that it would not otherwise be able to access.