Abstract
For over one hundred years, photography was one of the most important ways to document and account for our external reality, extending a visual regime that started with the development of the central perspective in the 15th century. Its claim to veracity lied in the technical replication of the visual experience of a single human being.
Today, digital image-making has unsettled the relationship between images and human experience more than ever. On the one hand, ubiquitous pre- and post-processing, widely used AI programs, trained on billions of images, blur the dividing line between recording and generation. On the other hand, more and more images are never to be seen by humans but used for automated processes. But not only machines are “sensing”, increasingly a whole range of “more-than-human” actors are understood as “sensing” the world in different ways, revealing layers and dynamics not directly accessible via the human senses.
But it’s not just technologies that have changed. Contemporary realities have become so complex, abstract, and stretched out over time and space, that the individual experience is less and less able to make sense of it. After all, how much can documentary photography, particularly a single image, reveal about data-centers or climate change?
In response to all these challenges, artists and researchers are developing a new visual language that is able to account for the new contours of the real in the 21st century. We are, among others, focusing on works by Trevor Paglen, or Forensic Architecture and exploring the notion of “investigative aesthetics” and “operational images”.
Attendance (80%)
Participation in reading, discussions, and group presentations
Pad for course notes:
Human(ism)
Not centered on the individual (pre-human)
Photography as indexing the real
Photo Realism:
Proletarian Machine Vision
Surveillance Machine Visions
Rubinstein, Daniel. 2018. “Posthuman Photography.” In The Evolution of the Image: Political Action and the Digital Self, edited by Marco Bohr and Basia Sliwinska, 100–112. Routledge. https://ualresearchonline.arts.ac.uk/id/eprint/13420/1/DR%20-%20posthuman%20photography.pdf
Foster, Hal. 2017. “Real Fictions. Alternatives to Alternative Facts.” Artforum International, https://www.artforum.com/print/201704/real-fictions-alternatives-to-alternative-facts-67192.
Wolfe, Cary. “Posthumanism.” In Posthuman Glossary, edited by Rosi Braidotti and Maria Hlavajova, 356-358. Theory. London Oxford New York New Delhi Sydney: Bloomsbury Academic, 2018.
Trans-animal Zoo TV Series 2015-2017
Machine Vision of Space & Time
Marco De Mutiis, Gwendolyn Fässler, Doris Gassert, Alessandra Nappo The Lure of the Image. Intro Catalogue
Afternoon:
Exhibition visit: The Lure of the Image
https://www.permanentbeta.network
Evidentiary Realism. GROUP SHOW. FEBRUARY 28 - MARCH 31, 2017 https://nomegallery.com/exhibitions/evidentiary-realism/
Exhibition Catalogue, https://nomegallery.com/wp-content/uploads/2017/04/ER_Catalog.pdf
Read
Introduction by Paolo Cirio
https://forensic-architecture.org
Works:
Additional references:
no course
09:00 - 12:00
“The term “operational image”, or “operative image” was coined by the Czechoslovakian-born filmmaker Harun Farocki around 2000. … Operational images are images that do not depict or represent, entertain or inform but rather track, navigate, activate, oversee, control, visualise, detect and identify. Operational images are instruments that perform tasks and carry out functions as part of an operation.” Operational Images and Visual Culture: Media Archaeological Investigations (2019-2023)
Trevor Paglen: Is Photography over? Four-Part Series, 01.03. – 15.04.2014
Harun Farocki: War at a Distance, 58min, 2003
Farocki, Harun. “Phantom Images.” Public, no. 29, Localities (2004): 10–24.
Mischka Henner, Feedlots, 2013
Parikka, Jussi. Operational Images: From the Visual to the Invisual. Minneapolis [Minnesota]: University of Minnesota Press, 2023. (read: Platform Operations, p. 66-73) PDF
Deep Dive into the operations of machine Vision
Trevor Paglen & Cate Crawford Datafication of Science Lecture at HKW, Jan 12, 2019. 32 Min
Feedback and Leval