
Sign up to save your podcasts
Or


A provocative investigation of the future of photography and human perception in the age of AI.
We are constantly photographing and being photographed while feeding machine learning databases with our data, which in turn is used to generate new images. Analyzing the transformation of photography by computation—and the transformation of human perception by algorithmically driven images, from CGI to AI—The Perception Machine: Our Photographic Future between the Eye and AI (MIT Press, 2023) investigates what it means for us to live surrounded by image flows and machine eyes. In an astute and engaging argument, Joanna Zylinska brings together media theory and neuroscience in a Vilém Flusser–Paul Virilio remix. Her “perception machine” names a technical universe of images and their infrastructures. But it also refers to a sociopolitical condition resulting from today's automation of vision, imaging—and imagination.
Written by a theorist-practitioner, the book incorporates Zylinska's own art projects, some of which have been co-created with AI. The photographs, collages, films, and installations available as part of the book (and its companion website) provide a different mode of thinking about our technological futures, at a local as well as a planetary level. Offering provocative concepts such as eco-eco-punk, AUTO-FOTO-KINO, planetary micro-vision, loser images, and sensography, the book outlines an existential philosophy of messy media for a time when our practices of imaging and self-imaging are being radically redesigned. Importantly, it also offers a new vision of our future.
Joanna Zylinska is Professor of Media Philosophy + Critical Digital Practice at King's College London. The author of Nonhuman Photography (MIT Press) and many other books on art, technology, and ethics, she is also an artist and curator.
Learn more about your ad choices. Visit megaphone.fm/adchoices
Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology
By New Books Network5
22 ratings
A provocative investigation of the future of photography and human perception in the age of AI.
We are constantly photographing and being photographed while feeding machine learning databases with our data, which in turn is used to generate new images. Analyzing the transformation of photography by computation—and the transformation of human perception by algorithmically driven images, from CGI to AI—The Perception Machine: Our Photographic Future between the Eye and AI (MIT Press, 2023) investigates what it means for us to live surrounded by image flows and machine eyes. In an astute and engaging argument, Joanna Zylinska brings together media theory and neuroscience in a Vilém Flusser–Paul Virilio remix. Her “perception machine” names a technical universe of images and their infrastructures. But it also refers to a sociopolitical condition resulting from today's automation of vision, imaging—and imagination.
Written by a theorist-practitioner, the book incorporates Zylinska's own art projects, some of which have been co-created with AI. The photographs, collages, films, and installations available as part of the book (and its companion website) provide a different mode of thinking about our technological futures, at a local as well as a planetary level. Offering provocative concepts such as eco-eco-punk, AUTO-FOTO-KINO, planetary micro-vision, loser images, and sensography, the book outlines an existential philosophy of messy media for a time when our practices of imaging and self-imaging are being radically redesigned. Importantly, it also offers a new vision of our future.
Joanna Zylinska is Professor of Media Philosophy + Critical Digital Practice at King's College London. The author of Nonhuman Photography (MIT Press) and many other books on art, technology, and ethics, she is also an artist and curator.
Learn more about your ad choices. Visit megaphone.fm/adchoices
Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

90,920 Listeners

43,838 Listeners

32,021 Listeners

3,965 Listeners

111 Listeners

215 Listeners

160 Listeners

47 Listeners

31 Listeners

30 Listeners

4,260 Listeners

2,452 Listeners

189 Listeners

164 Listeners

25 Listeners

30 Listeners

60 Listeners

416 Listeners

112,277 Listeners

998 Listeners

9,936 Listeners

261 Listeners

2,069 Listeners

29,202 Listeners

15,918 Listeners