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This is how you kick facial recognition out of your town
Bans on the technology have mostly focused on law enforcement, but there’s a growing movement to get it out of school, parks, and private businesses too.
In San Francisco, a cop can’t use facial recognition technology on a person arrested. But a landlord can use it on a tenant, and a school district can use it on students.
This is where we find ourselves, smack in the middle of an era when cameras on the corner can automatically recognize passersby, whether they like it or not. The question of who should be able to use this technology, and who shouldn’t, remains largely unanswered in the US. So far, American backlash against facial recognition has been directed mainly at law enforcement. San Francisco and Oakland, as well as Somerville, Massachusetts, have all banned police from using the technology in the past year because the algorithms aren’t accurate for people of color and women. Presidential candidate Bernie Sanders has even called for a moratorium on police use.
Private companies and property owners have had no such restrictions, and facial recognition is increasingly cropping up in apartment buildings, hotels, and more. Privacy advocates worry that constant surveillance will lead to discrimination and have a chilling effect on free speech—and the American public isn’t very comfortable with it either. According to a recent survey by Pew Research, people in the US actually feel better about cops using facial recognition than they do about private businesses.
👉🏼 Read more:
https://www.technologyreview.com/s/614477/facial-recognition-law-enforcement-surveillance-private-industry-regulation-ban-backlash/
#surveillance #facialrecognition #lawenforcement #regulation #thinkabout
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📡@cRyPtHoN_INFOSEC_EN
📡@cRyPtHoN_INFOSEC_ES
Bans on the technology have mostly focused on law enforcement, but there’s a growing movement to get it out of school, parks, and private businesses too.
In San Francisco, a cop can’t use facial recognition technology on a person arrested. But a landlord can use it on a tenant, and a school district can use it on students.
This is where we find ourselves, smack in the middle of an era when cameras on the corner can automatically recognize passersby, whether they like it or not. The question of who should be able to use this technology, and who shouldn’t, remains largely unanswered in the US. So far, American backlash against facial recognition has been directed mainly at law enforcement. San Francisco and Oakland, as well as Somerville, Massachusetts, have all banned police from using the technology in the past year because the algorithms aren’t accurate for people of color and women. Presidential candidate Bernie Sanders has even called for a moratorium on police use.
Private companies and property owners have had no such restrictions, and facial recognition is increasingly cropping up in apartment buildings, hotels, and more. Privacy advocates worry that constant surveillance will lead to discrimination and have a chilling effect on free speech—and the American public isn’t very comfortable with it either. According to a recent survey by Pew Research, people in the US actually feel better about cops using facial recognition than they do about private businesses.
👉🏼 Read more:
https://www.technologyreview.com/s/614477/facial-recognition-law-enforcement-surveillance-private-industry-regulation-ban-backlash/
#surveillance #facialrecognition #lawenforcement #regulation #thinkabout
📡@cRyPtHoN_INFOSEC_DE
📡@cRyPtHoN_INFOSEC_EN
📡@cRyPtHoN_INFOSEC_ES
Enhancing digital privacy by hiding images from AI
Researchers develop a new technique that will keep your online photos safe from facial recognition algorithms. The research, which has been ongoing for more than six months, is targeted at countering the facial-recognition algorithms of big tech firms such as Facebook and Google. Professor Kankanhalli and her team from NUS Computer Science has developed a technique that safeguards sensitive information in photos by making subtle visual distortion in the images that are almost imperceptible to humans but render selected features undetectable by known algorithms.
https://news.nus.edu.sg/research/enhancing-digital-privacy-hiding-images-ai
#AI #facialRecognition
Researchers develop a new technique that will keep your online photos safe from facial recognition algorithms. The research, which has been ongoing for more than six months, is targeted at countering the facial-recognition algorithms of big tech firms such as Facebook and Google. Professor Kankanhalli and her team from NUS Computer Science has developed a technique that safeguards sensitive information in photos by making subtle visual distortion in the images that are almost imperceptible to humans but render selected features undetectable by known algorithms.
https://news.nus.edu.sg/research/enhancing-digital-privacy-hiding-images-ai
#AI #facialRecognition
Enhancing digital privacy by hiding images from AI
An AI algorithm will identify a cat in the picture on the left but will not detect a cat in the picture on the right In one second, the human eye can only scan through a few photographs. Computers, on the other hand, are capable of performing billions of…