2021/10/12

Trevor Paglen on the Hilarity of Scoring Gender Likelihood in “Machine-Readable Hito”

“The algorithm estimates Hito’s gender, it says she is 57% female and 42% male. Which begs the question: what would 100% female be? Whether that’s Barbie, Grace Jones, or Angela Merkel—who knows?”
– Trevor Paglen on Machine-Readable Hito (2017), which tasked facial analysis algorithms with guessing Hito Steyerl’s age, gender, and emotional state across hundreds of photos. In dialogue for SJMA’s “Artists in Conversation” series, the duo discuss representation, truth, and power relations.
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