The researchers have shown how it's possible to perturb facial recognition with patterned eyeglass frames. Researchers have developed patterned eyeglass frames that can trick facial-recognition algorithms into seeing someone else's face. The printed frames allowed three researchers from Carnegie Mellon to successfully dodge a facial-recognition system based on machine-learning 80 percent of the time. Using certain variants of the frames, a white male was also able to fool the algorithm into mistaking him for movie actress Milla Jovovich, while a South-Asian female tricked it into seeing a Middle Eastern male. A look at some of the best IoT and smart city projects which aim to make the lives of citizens better.
Boston City Councilors voted unanimously to ban the use of facial-recognition technology by police -- technology the Boston Police Department currently doesn't use anyway due to its unreliability. All 13 councilors voted in favor of the order authored by Councilors Ricardo Arroyo and Michelle Wu to ban the city from using technology that matches people's faces. Mayor Marty Walsh's office said the mayor would review the legislation, not committing to whether he'd sign it or not. "It puts Bostonians at risk for misidentification," Arroyo said. A recent MIT study found that the technology was wrong more often when trying to identify darker-skinned people.
On May 14, 2019, the San Francisco government became the first major city in the United States to ban the use of facial-recognition technology (paywall) by the government and law enforcement agencies. This ban comes as a part of a broader anti-surveillance ordinance. As of May 14, the ordinance was set to go into effect in about a month. Local officials and civil advocates seem to fear the repercussions of allowing facial-recognition technology to proliferate throughout San Francisco, while supporters of the software claim that the ban could limit technological progress. In this article, I'll examine the ban that just took place in San Francisco, explore the concerns surrounding facial recognition technology, and explain why an outright ban may not be the best course of action.