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 categorisation 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.
Die Arbeit Unlearning Gender von Jelena Mönch und Miguel Rangil wurde im Rahmen der Campusausstellung Resonating Selves - Interface Cultures at Ars Electronica 2023 gezeigt
