A nod to Marc Auge’s famous work “Non-Places” about latent spaces, NON-FACES aims to explore connections between human and AI in art, looking specifically at the creation and implementation into mainstream art spaces of generative art as an evolving medium for art creation. Through the use of machine learning and image recollection software known as GANs (General Adversarial Networks), this project aims to blur the boundaries of between human and AI networks in digital artistic creation.

 

The project aims to bring about questions around who owns artistic works created equally with human and AI influence, and what kinds of implicit biases become apparent as these kind of ‘cyborgian’ creative processes works their way into mainstream artistic spheres of influence. NON-FACES seeks to explore how we understand creativity, image making, and the ways our connection to creation and art evolve over time in the same way our technology does.