May 10th 2024
7-9:00pm
Nouf Aljowaysir in person
I began following the migrational patterns of my Saudi and Iraqi ancestors leading up to my own migration process to the US. I interviewed family members and studied the socio-cultural events transpiring in their distant memories and anecdotes. Through this process, I traced my lineage to the 1800s and began experimenting in re-imagining the past using Generative AI models.
In one particular experiment, it tagged most of my images with arcane modern-day warfare labels such as “soldier, “army”, and “military uniform”. AI generalized how it sees me and generations of family before me. I discovered that my collection of stories were being erased and stereotyped as one big pile of “Middle East”.
SALAF symbolizes those AI failures and the frustrations I felt in the Western colonial gaze, and the lack of native localized self-expression. Using U-2 Net, an image segmentation model that partitions a digital image into multiple segments, I erased the ‘oriental’ stereotypical figures in my historical archives, creating an “absent” dataset. I then trained StyleGAN2, a generative AI model on this new dataset, outputting images signifying the eradication of her ancestor’s collective memory.
– Nouf Aljowaysir
