They studied 58 separate research papers to see how those researchers handled gender. It wasn’t good. Keyes found that researchers followed a binary model of gender more than 90 percent of the time, viewed gender as immutable more than 70 percent of the time, and—in research focused specifically on gender—viewed it as a purely physiological construct more than 80 percent of the time.
“Such a model fundamentally erases transgender people, excluding their concerns, needs and existences from both design and research,” Keyes wrote in The Misgendering Machines, a research paper they published in November.
Machines aren’t value neutral, they act as they’re programmed. “We’re talking about the extension of trans erasure,” Keyes said. “That has immediate consequences
motherboard.vice.com/amp/en_us/article/7xnwed/facial-recognition-software-regularly-misgenders-trans-people