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‘Zizi - Queering the Dataset’ aims to tackle the lack of representation and diversity in the training datasets often used by facial recognition systems. The video was made by disrupting these systems and re-training them with the addition of 1000 images of drag and gender fluid faces found online. This causes the weights inside the neural network to shift away from the normative identities it was originally trained on and into a space of queerness. ‘Zizi - Queering The Dataset’ lets us peek inside the machine learning system and visualise what the neural network has (and hasn’t) learnt. The work is a celebration of difference and ambiguity, which invites us to reflect on bias in our data driven society.
Director
Status
Released
Original Language
EN
Bill Whitney is worried that he is different to his sister and parents. They mix with other upper-class people while Bill is more down to earth. Even his girlfriend seems a bit odd. All is revealed when Bill returns home to find a party in full swing.
