AI facial recognition systems work the worst for Black women.
. It had big ears that moved. It could smile. I didn't know you could do that with machines. So, from when I was little, I had in my mind that I wanted to be a robotics engineer, and I was going to MIT.
Eventually, I did reach MIT, but I went to Georgia Tech for my undergraduate degree. I was working on getting a robot to play peekaboo because social interactions show some forms of perceived intelligence. It was then that I learned about code bias: Peekaboo doesn't work when your robot doesn't see you.
[A few years later] at MIT, when I was creating [a robot] that would say, "Hello, beautiful," I was struggling to have it detect my face. I tried drawing a face on my hand, and it detected that. I happened to have a white [Halloween] mask in my office. I put it on [and it detected that]. I was literally coding in whiteface. I did another project where you could "paint walls" with your smile. Same issue: Either my face wasn't detected, or when it was, I was labelled male.
I changed my research focus and started testing different systems that analyze faces. That became my MIT master's work, [a project] called. I collected a data set of members of parliament from three African countries and three European countries — and found AI systems worked better overall on lighter-skinned faces. Across the board, they work the worst on people most like me: darker-skinned women.
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