Computation has now been reconfigured by machine learning: those technical processes and operations that yoke together statistics and computer science to create artificial intelligence (AI) by furnishing vast datasets to learn tasks and predict outcomes. In DeepAesthetics, Anna Munster examines the range of more-than-human experiences this transformation has engendered and considers how those experiences can be qualitative as well as quantitative. Drawing on process philosophy, Munster approaches computational experience through its relations and operations. She combines deep learning-the subfield of machine learning that uses neural network architectures-and aesthetics to offer a way to understand the insensible and frequently imperceptible forms of nonlinear and continuously modulating statistical function. Attending to the domains and operations of image production, statistical racialization, AI conversational agents, and critical AI art, Munster analyzes how machine learning is operationally entangled with racialized, neurotypical, and cognitivist modes of producing knowledge and experience. She approaches machine learning as events through which a different sensibility registers, one in which AI is populated by oddness, disjunctions, and surprises, and where artful engagement with machine learning fosters indeterminate futures.

About the Author
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.

Reviews
"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 *



Book Information
ISBN 9781478028338
Author Anna Munster
Format Hardback
Page Count 240
Imprint Duke University Press
Publisher Duke University Press
Weight(grams) 572g