Corrupting data and sensing error, or how to ‘see’ digital images

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Abstract

In response to calls to forget and unthink photography this article considers the computational environment and its consequences for the image making. What is there to know about images that are networked and generated with data processing techniques rather than with light and chemistry? How to analyse images and read what they are and what they represent, beyond what is visible in the picture? The article argues that glitches while aesthetically capturing errors in the machine point to broader conditions of image making revealing systemic errors and not only its momentary technical failures. To explore digital images as affective phenomena to be sensed, the article looks at how glitch and its operations have been used by artists to generate digital images, and most importantly how they reveal computational systems as technical objects and affective infrastructures where discrimination is not an error but part of the system.
Original languageEnglish
JournalPhilosophy of Photography
Volume14
Issue2
Pages (from-to)283-300
ISSN2040-3682
DOIs
Publication statusPublished - Oct 2023

Keywords

  • glitch politics
  • error
  • computer-generated images
  • unthinking photography
  • digital infrastructures
  • posthuman worlds
  • systemic failure

Fingerprint

Dive into the research topics of 'Corrupting data and sensing error, or how to ‘see’ digital images'. Together they form a unique fingerprint.
  • Corrupting Data featuring ϟℙ∀ℳℳ▁ℙϴШ€ℜ

    Tyzlik-Carver, M. R. (Organizer), Menkman, R. (Participant), Wylde, G. (Participant), Klingeman, M. (Participant), Hains, S. (Participant), Borras aka Systaime, M. (Participant), Radikal, E. (Participant) & Scott, O. (Participant)

    23 Sept 20174 Nov 2017

    Activity: Participating in or organising an event typesParticipation in or organisation of workshop, seminar or course

Cite this