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Algorithm Image Art
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By Lee, Rosemary
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Rosemary Lee

Think media Series |

Hardcover| 212 pages | ISBN 978-1737559146

Algorithm, Image, Art examines the history, processes, and ideas behind visual culture. Machine learning algorithms now have a pervasive influence on the aesthetics and meaning of images. But while novel in some respects, these recent developments are connected to much earlier, even analog, geometrical, optical, and procedural methods. This book looks at how the production of images in terms of algorithmic instructions has shaped images and art, as well as the values used to assess them. It draws connections between the algorithmic forms of visual media we are familiar with today and the precursors from which they evolved.

Lee provides multiple perspectives on understanding AI images by drawing upon concepts from art history and media archaeology. I highly recommend it to students and researchers across all disciplines that involve images, as well as to practitioners in the visual arts.


— Lev Manovich, Professor of Computer Science & Director, Cultural Analytics Lab, CUNY
 
 

About the Author

Rosemary Lee is an artist and media scholar whose work considers how current developments in image production fit within larger narratives about art, vision, knowledge, and relations between humans and machines. Informed by the perspective of media archaeology, she seeks to develop a better understanding of how current methods and ideas about art and technology are influenced by those of the past. Specializing in the impact of artificial intelligence on visual culture, Lee completed her PhD at the IT-University of Copenhagen in 2020 with a thesis entitled Machine Learning and Notions of the Image. She teaches in the Multimedia program at the University of Porto Faculty of Engineering.