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Ed Webb

WIRED - 0 views

  • Over the past two years, RealNetworks has developed a facial recognition tool that it hopes will help schools more accurately monitor who gets past their front doors. Today, the company launched a website where school administrators can download the tool, called SAFR, for free and integrate it with their own camera systems
  • how to balance privacy and security in a world that is starting to feel like a scene out of Minority Report
  • facial recognition technology often misidentifies black people and women at higher rates than white men
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  • "The use of facial recognition in schools creates an unprecedented level of surveillance and scrutiny," says John Cusick, a fellow at the Legal Defense Fund. "It can exacerbate racial disparities in terms of how schools are enforcing disciplinary codes and monitoring their students."
  • The school would ask adults, not kids, to register their faces with the SAFR system. After they registered, they’d be able to enter the school by smiling at a camera at the front gate. (Smiling tells the software that it’s looking at a live person and not, for instance, a photograph). If the system recognizes the person, the gates automatically unlock
  • The software can predict a person's age and gender, enabling schools to turn off access for people below a certain age. But Glaser notes that if other schools want to register students going forward, they can
  • There are no guidelines about how long the facial data gets stored, how it’s used, or whether people need to opt in to be tracked.
  • Schools could, for instance, use facial recognition technology to monitor who's associating with whom and discipline students differently as a result. "It could criminalize friendships," says Cusick of the Legal Defense Fund.
  • SAFR boasts a 99.8 percent overall accuracy rating, based on a test, created by the University of Massachusetts, that vets facial recognition systems. But Glaser says the company hasn’t tested whether the tool is as good at recognizing black and brown faces as it is at recognizing white ones. RealNetworks deliberately opted not to have the software proactively predict ethnicity, the way it predicts age and gender, for fear of it being used for racial profiling. Still, testing the tool's accuracy among different demographics is key. Research has shown that many top facial recognition tools are particularly bad at recognizing black women
  • "It's tempting to say there's a technological solution, that we're going to find the dangerous people, and we're going to stop them," she says. "But I do think a large part of that is grasping at straws."
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