Geoff Cox

Images: Sternberg Press book series and Minor Tech newspaper for transmediale.

Geoff Cox is Professor of Art and Computational Culture at London South Bank University (UK), where he is co-Director of Centre for the Study of the Networked Image (CSNI), also Adjunct at Aarhus University (DK). With Jacob Lund, he is co-editor of The Contemporary Condition book series published by Sternberg Press (since 2016), and with Joasia Krysa, co-editor of the open access DATA browser book series published by Open Humanities Press (since 2018, earlier with Autonomedia).

“With a background in photography, my interests have evolved into image politics more broadly, and particularly concerning developments in image-based and generative AI. This includes engaging with new ways of seeing and the wider considerations of infrastructures through which images are produced and circulated, how the networked image can be understood as a relational assemblage to address wider ecologies. Furthermore, I am interested in publishing as an artistic medium, and experimental approaches that exploit the creative and political potential of computation.”

With Christian Ulrik Andersen, he co-runs a yearly workshop/publication in collaboration with transmediale festival for art and digital culture in Berlin (since 2012), and is co-editor of the associated open access online journal APRJA, hosted by the Royal Danish Library. He has published widely, most often in collaboration, including: with Alex McLean, Speaking Code: Coding as Aesthetic and Political Expression (MIT Press, 2013); with Jacob Lund, The Contemporary Condition: Introductory Thoughts on Contemporaneity and Contemporary Art (Sternberg Press, 2016); with Winnie Soon, Aesthetic Programming: A Handbook of Software Studies (Open Humanities Press, 2020); with Alan Blackwell, Emma Cocker, Thor Magnusson and Alex McLean, Live Coding: A User’s Manual (MIT Press, 2022); with Mitra Azar and Leonardo Impett, the co-edited special issue Ways of Machine Seeing, AI & Society (Springer-Nature, 2021), which relates to ongoing collaborative research on AI and visuality, e.g. "Learning experiments in computer vision and visual literacy", a project with Institute of Education and The Photographers' Gallery, and initially supported by The Alan Turing Institute.

Read more at http://anti-thesis.net/

And here.