Facial recognition systems can produce wildly inaccurate results, especially for non-whites, according to a US government study released Thursday that is likely to raise fresh doubts on deployment of the artificial intelligence technology.
The study of dozens of facial recognition algorithms showed "false positives" rates for Asian and African American as much as 100 times higher than for whites.
The researchers from the National Institute of Standards and Technology (NIST), a government research center, also found two algorithms assigned the wrong gender to black females almost 35 percent of the time.
The study comes amid widespread deployment of facial recognition for law enforcement, airports, border security, banking, retailing, schools and for personal technology such as unlocking smartphones.
Some activists and researchers have claimed the potential for errors is too great and that mistakes could result in the jailing of innocent people, and that the technology could be used to create databases that may be hacked or inappropriately used.
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4 comments:
I read about this error, when the camera scanned Nancy Palosi's face it identified her as the thing under the Democrat Donkey's tail.
Kind of right on if you ask me!
9:01 yup, Pelosi face does look like that, especially those lines drawing in toward the hole, I mean mouth.
Northwest Woodsman: From the looks of the data, the program is confirming that we are not all alike. That is why a forensic pathologist can examine bones of a deceased body and determine race, gender, and approximate age. Since there are distinguishable physical differences, is to too much to believe that there are differences in IQ, socialization and development of civilized behavior?
10:32 amazing you are willing to speak the truth in this anti-truth country. How dare you invoke science and truth there really is only two sexes, blacks differ from whites or Asians, of even hint at the cultural differences.
Bravo for being a smart individual unafraid to speak the truth!!
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