DeepAesthetics

Anna Munster is Professor in the School of Art and Design at the University of New South Wales and author of An Aesthesia of Networks: Conjunctive Experience in Art and Technology and Materializing New Media: Embodiment in Information Aesthetics.

Introduction: Deep Machines and Surfaces of Experience 1. Heteropoietic Computation: Category Mistakes and Fails as Generators of Novel Sensibilities 2. The Color of Statistics: Race as Statistical (In)visuality 3. Could AI Become Neurodivergent? 4. Machines Unlearning: Toward an Allagmatic Arts of AI Postscript. On Models of Control and (Their) Modulation Acknowledgments Notes References Index

"DeepAesthetics offers a fascinating movement across a triadic relation between critical engagements with artworks, close analyses of machine learning, and the interrogation of both via speculative pragmatism. It will doubtless be of interest to media artists and scholars working in science and technology studies, art practice, cultural and media theory, aesthetic theory, and the philosophy and ethics of artificial intelligence." - Matthew Fuller, author of (How To Be a Geek: Essays on the Culture of Software) "In this intriguing thought experiment, Anna Munster moves beyond the familiar approach of studying human experiences with computers to consider whether computation itself, especially in its machine learning guise, can undergo experiences that matter-and that mean something outside the human cognitive system. With this gesture, she puts forward a bold and innovative proposal for seeking radical novelty in a world stuck in familiar patterns, rhythms, and styles." - Joanna Zylinska, author of (AI Art: Machine Visions and Warped Dreams)