How to See Like a Machine

Nyhet

Images After AI

Inbunden, Engelska, 2026

279 kr

Kommande

Today our world is under the watchful and tireless eye of computer vision, with cameras and monitors tracing our every move. Furthermore, generative AI is now able to render a synthetic world indistinguishable from reality for us to explore. Trevor Paglen goes in search of the ways and means of understanding this new visual universe. Instead of asking what these technologies "say" about the world, he teaches us to ask what they "do" and where such images come from.Exploring the esoteric worlds of psyops, UFO imagery, magicians, and public relation gurus, Paglen shows that this apparently alien realm is more human, but much stranger, than we imagine.

Produktinformation

Utgivningsdatum2026-05-19
Mått140 x 210 x 16 mm
Vikt284 g
FormatInbunden
SpråkEngelska
Antal sidor192
FörlagVerso Books
ISBN9781836742166

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Trevor Paglen is an artist whose work has had one-person exhibitions at the Smithsonian American Art Museum, Washington, DC; Fondazione Prada, Milan; and the Barbican Centre, London. He has participated in group exhibitions at the Metropolitan Museum of Art, the San Francisco Museum of Modern Art, the Tate Modern, and numerous other venues. His work has been profiled in the New York Times, the New Yorker, the Wall Street Journal, Wired, the Financial Times, Artforum, and Aperture. In 2014, he received the Electronic Frontier Foundation's Pioneer Award and, in 2016, he won the Deutsche Börse Photography Prize. Paglen was named a MacArthur Fellow in 2017.

To be literate today means to come to terms with how the twin technical transformations of our time, computer vision and generative AI, work, and how they work on us: how they have reformatted our perception and cognition, our labor and leisure, our representations and realities, and will continue to do so with ever greater intensity. There is no better guide than Trevor Paglen, our most exploratory of artists, who, for two decades, has cracked open each new version of this black box, exposing proprietary abuses, inventing critical terms, devising counter uses, and imagining alternative futures. How to See Like a Machine is the toolkit we need.