On the photographic status of images produced by generative adversarial networks (GANs)

The text analyses the new images produced by artificial neural networks such as Generative Adversarial Networks (GANs) from the perspective of photography and, more specifically, cameraless photography. The images produced by GANs are located within the wider framework of the impact of machine learn...

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Bibliographic Details
Published in:Philosophy of photography (Print) 2022-04, Vol.13 (1), p.153-164
Main Author: Somaini, Antonio
Format: Article
Language:English
Subjects:
Art and art history
Artificial Intelligence
artificial intelligence (AI)
cameraless photography
Computer Science
contemporary art
Humanities and Social Sciences
machine learning
photography
realism
visual culture
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Summary:The text analyses the new images produced by artificial neural networks such as Generative Adversarial Networks (GANs) from the perspective of photography and, more specifically, cameraless photography. The images produced by GANs are located within the wider framework of the impact of machine learning technologies on contemporary visual culture and contemporary artistic practices. In the final section, the article focuses on the work of two artists who have explicity tackled the relations between GAN-generated images and the traditions of photography and cameraless photography, with their multiple intertwinings of human and non-human agencies: Mario Klingemann and Grégory Chatonsky.
ISSN:2040-3682
2040-3690
DOI:10.1386/pop_00044_1