Machine Learning, Identity Data, Three.js
ID(ENTITY) is the second iteration of Visualizing Identity, a text-to-image Machine Learning project creating AI-made “portraits” from identity data to better understand the formation and perception of human identity. In this iteration, the artist and machine collaborate for a performance piece on representation, through the “eyes” of the machine. Each entity in the matrix represents an individual’s distilled identity data abstracted from the human form through AI-made texture interpretations and simplified geometry. The performance invites viewers to navigate the depth of the matrix to ponder how they perceive the individual’s identity from the machine’s representations, the perceptions they form about them, and why.
Presented by P·P·O·W Gallery for “The Unbody” group exhibition.
Special thanks to Bobby Bah, Riley Wong, Adrienne Cassel & Juan Fernández