After an art project showed how AI can categorize people in offensive ways, a major research database is discarding half its images of people.
The author of this article gave it a try, as seen in the illustration at the top, and was categorized as"draftsman, drawer: an artist skilled at drawing," which is about as wrong as it can be.
"That is by design: We want to shed light on what happens when technical systems are trained on problematic training data," Paglen and Crawford say."AI classifications of people are rarely made visible to the people being classified. ImageNet Roulette provides a glimpse into that process — and to show the ways things can go wrong."
Paglen and Crawford say they don't generate the offensive descriptions, which they say come solely from the language categories that ImageNet uses. In May, in questioning AI experts at a hearing of the House Oversight and Government Reform Committee, she elicited testimony that today's facial recognition technology is ineffective, to a statistically significant extent, in recognizing anyone other than white men:
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