Language founds realities. Deployed vision machines encapsulate, label and categorize bodies through words. Image processing machines categorize bodies that fit into a binary worldview of gender. Reality is much more complex, a multitude of shades of grey.
Unlearning Gender speculates on alternative modes of categorization to resist algorithmic-binary normalization. Through the symbolic hacking of the computer vision interface, the project aims to escape from gender and break with the technosocial binarisms embedded in technology.
University of Arts Linz, Hauptplatz 6, 5th floor, lecture room D (Registration closed)
WED Sept. 6, 2023, 13:00 – 17:00