Who owns face

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Korn Ferry Listen. Korn Ferry Pay. Korn Ferry Sell. Consumer Products. Financial Services. Investment Management. Life Sciences. Private Equity. Professional Services. Public Sector. Face recognition software allows this to be accomplished in an automated manner. Not just automated, but automatic—meaning that camera systems outfitted with facial recognition software would identify anyone in the frame.

Privacy advocates and members of Congress agree that what happens to this sort of data is a complicated and urgent question. A smart surveillance camera may capture and identify attendees of a political rally, for instance, which could have a chilling effect on civic participation.

Eventually, it may be impossible for people to avoid targeted surveillance. Data-tracking systems are already able to follow your behavior—online and off—to produce a detailed portrait of you.

Skip to content Site Navigation The Atlantic. Popular Latest. The Atlantic Crossword. The ACLU says it should be nationally outlawed. Jameson Spivek : Things like requiring a probable cause back search warrant for any face recognition search, restricting the use to violent felonies, and prohibiting the use of face recognition for immigration enforcement. Narrow bans on the use of face recognition in conjunction with things like drones or in police worn body cameras, or for ongoing surveillance, because face recognition should not be used in life or death situations.

Another thing is to have a mandatory, mandatory disclosure to defendants that police use face recognition to identify and then eventually arrest them. Jennifer Strong: But even if those regulations don't come to pass, he says we need Jameson Spivek : Testing to make sure it's accurate and it's not biased and, having reports about how it's used and, and transparency… Those are all good and they are all needed….

But they're not enough. We really need these, these deeper reforms. Jameson Spivek : We need to be very vigilant, and ask ourselves are the things that these companies supporting in terms of legislation, are they really going to protect people or is it just a way for the companies to have clarity about how the technology is regulated, but not really regulated in a way that's strong enough that actually protects people and then actually really affects the company's ability to produce it.

I don't think that they are going to voluntarily give up selling this technology. Jameson Spivek : Most of the, the major companies that are developing face recognition for police and for the government are, are smaller, more specialized companies that most people have not heard of.

Since then, the Russian company has repeatedly won biometrics competitions held by companies such as Amazon, by US government agencies, and universities. Jennifer Strong: NTechLab is best known for its app called FindFace, which let people search social media profiles with photos on their phones.

Is it meant for a certain group of people or you want it to be available to anybody on social media? All you need is a smart phone and the application FindFace. Jennifer Strong: The man in this video uses the app to take a photo of a woman at a different table. Jennifer Strong: The app was a viral hit. A system they installed in the city of Moscow is believed to be among the largest of this type in the world. Artem Kuharenko : Right now more than , video cameras is connected to the system, and the system proved to be very helpful and useful to the city.

Jennfier Strong: So, thousand video cameras, capturing a billion faces per month. And he claims the system is very, very accurate. Artem Kuharenko : So it's only one false accept, per 10 billion of comparisons. It's one in 10 zeros. Jennfier Strong : That kind of accuracy is unheard of. Earlier in this series we talked about trials of live facial recognition by London police that produced an accuracy rate of about percent. But in Moscow, Kuharenko says his system is being used to solve crimes in real time.

It also has smart city projects in Dubai, fintech projects in Europe and retail partnerships in North and South America. Artem Kuharenko : Leader companies in the field have their own tests. In our company, we have a lot of different tests before we send it to production.

But the problem is that there is no independent test, which will be open, where anyone could see and anyone could test all algorithms. Artem Kuharenko It also helped to stop for expansion of coronavirus in Moscow. Jennifer Strong : Now, but as we are in the middle of this global pandemic, how well does the technology work when someone's wearing a mask? Artem Kuharenko : It works with the same accuracy as without a mask.

So it's almost almost the same accuracy. And we also have special algorithm, which can tell whether there is a mask on a person and whether it's correctly weared or not. But the pandemic has created something of an arms race between companies trying to build systems that read masked faces.

Artem Kuharenko: Car detection Ideally the system will be able to extract as much information as human can see in the video. But algorithm can do it, with a much better speed. And, if human can process only one video stream at a time, the system could process hundreds and hundreds of thousands of videos in real time. Jennfier Strong: Do you ever worry that somebody might take all of your hard work and use it to build a world you don't really want to live in?

Artem Kuharenko : Uh, I don't, I don't actually believe in this scenario because it's a quite it's, it's a good scenario for the movie, but it's a very unlikely scenario in real life. Artem Kuharenko : As a technology company we always try to tell people so that people understand what's happening and make the decision whether they want it or not.

Jennfier Strong : Like the founder of Clearview, he says it's up to us—everyday people and citizens all over the world—to decide whether and how to live with this technology. Now, considering the many issues around transparency and accountability, it would seem not quite that easy. But there are people trying hard to shoulder that responsibility. Deb Raji: I guess the journey to where we are today has arisen from this first sort of cracking the rose colored lenses of, this is a technology that works, and demonstrating that it doesn't work for very specific people Deb Raji: You know, How can we actually begin to have conversations around its restriction, around the disclosure of its use, and how does that play out in terms of policy restrictions?

She can audit the algorithms that make face ID products work