Towards a Framework for Human-AI Interaction Patterns in Co-Creative GAN Applications

While Generative Adversarial Networks (GANs) have become a popular tool for designing artifacts in various creative tasks, a theoretical foundation for understanding human-GAN co-creation is yet to be developed. We propose a preliminary framework to analyze co-creative GAN applications and identify four primary interaction patterns between humans and AI. The framework enables us to discuss the affordances and limitations of the different interactions in the co-creation with GANs and other generative models.