Facial recognition can be a valuable identification tool when fingerprint identification is unavailable or impracticable. Just like automated fingerprint identification, facial recognition can provide law enforcement agencies with a valuable tool for multiple public safety applications. (4) “Facial recognition or other biometric surveillance” does not include the use of an automated or semiautomated process for the purpose of redacting a recording for release or disclosure outside the law enforcement agency to protect the privacy of a subject depicted in the recording, if the process does not generate or result in the. FaceFirst is the market leader in robust facial recognition software for law enforcement, including police, highway patrol, sheriff departments and other public safety agencies. The FaceFirst security platform is highly accurate and scalable, offering a full range of biometric surveillance, mobile, access control and desktop forensic face. Amazon has been providing facial recognition tools to law enforcement agencies in Oregon and Orlando for only a few dollars a month, paving the way for a rollout of technology that is causing.
Recent news of Amazon’s engagement with law enforcement to provide facial recognition surveillance (branded “Rekognition”), along with the almost unbelievable news of China’s use of the technology, means that the technology industry needs to address the darker, more offensive side of some of its more spectacular advancements.
Facial recognition technologies, used in the identification of suspects, negatively affects people of color. To deny this fact would be a lie.
And clearly, facial recognition-powered government surveillance is an extraordinary invasion of the privacy of all citizens — and a slippery slope to losing control of our identities altogether.
There’s really no “nice” way to acknowledge these things.
I’ve been pretty clear about the potential dangers associated with current racial biases in face recognition, and open in my opposition to the use of the technology in law enforcement.
Law Enforcement Facial Recognition Software 2016
As the black chief executive of a software company developing facial recognition services, I have a personal connection to the technology, both culturally and socially.
Having the privilege of a comprehensive understanding of how the software works gives me a unique perspective that has shaped my positions about its uses. As a result, I (and my company) have come to believe that the use of commercial facial recognition in law enforcement or in government surveillance of any kind is wrong — and that it opens the door for gross misconduct by the morally corrupt.
To be truly effective, the algorithms powering facial recognition software require a massive amount of information. The more images of people of color it sees, the more likely it is to properly identify them. The problem is, existing software has not been exposed to enough images of people of color to be confidently relied upon to identify them.
And misidentification could lead to wrongful conviction, or far worse.
Let’s say the wrong person is held in a murder investigation. Let’s say you’re taking someone’s liberty and freedoms away based on what the system thinks, and the system isn’t fairly viewing different races and different genders. That’s a real problem, and it needs to be answered for.
There is no place in America for facial recognition that supports false arrests and murder.
In a social climate wracked with protests and angst around disproportionate prison populations and police misconduct, engaging software that is clearly not ready for civil use in law enforcement activities does not serve citizens, and will only lead to further unrest.
Whether or not you believe government surveillance is okay, using commercial facial recognition in law enforcement is irresponsible and dangerous.
While the rest of the world speculated the reasons we are being monitored, the Chinese government has been making transparent the reasons they are watching all 1.4 billion of its citizens — and it’s not for their safety.
China’s use cases for face recognition software for surveillance are actually an outstanding example of why we have never and will never engage with government agencies — and why it’s an ethical nightmare to even consider doing so.
China is currently setting up a vast public surveillance network of systems that are utilizing face recognition to construct “social credit” systems, which rank citizens based on their behavior, queuing rewards and punishments depending on their scores. They’ve already proven in the case of arresting one man spotted by their CCTV network in a crowd of 60,000 people exactly how poorly this could go.
The exact protocol is being guarded, but examples of “punishment-worthy” infractions include jaywalking, smoking in non-smoking areas and even buying too many video games. “Punishment” for poor scores includes travel restrictions and many other punishments.
Yes. Citizens will be denied access to flights, trains — transportation — all based on the “social behavior” equivalent of a credit score. If all of this constant surveillance sounds insane, consider this: right now the system is piecemeal, and it’s in effect in select Chinese provinces and cities.
China News Service via WSJ
Imagine if America decided to start classifying its citizens based on a social score?
Imagine if America and its already terrifying record of racial disparity in the use of force by the police had the power and justification of someone being “socially incorrect”?
Recently, we read about Amazon Face Rekognition being used in law enforcement in Oregon. They claimed that it won’t be a situation where there’s a “camera on every corner,” as if to say that face recognition software requires constant, synchronized surveillance footage.
In truth, Rekognition and other software simply requires you to point the software at whatever footage you have — social media, CCTV footage or even police bodycams. And that software is only as smart as the information it’s fed; if that’s predominantly images of, for example, African Americans that are “suspect,” it could quickly learn to simply classify the black man as a categorized threat.
Facial recognition is a dynamic tool that helps humanize our interactions with machines. Yet, desperate for more data, we’re seeing a preview in China of face recognition, when used for government surveillance, truly dehumanizing entire populations.
It’s the case of an amazing technology capable of personalizing experiences, improving interactions and creating positive feelings being used for the purpose of controlling citizens. And that, for me, is absolutely unacceptable. It’s not simply an issue for people of color, either. Eventually scanning software of any kind could measure the gait, the gestures, the emotions of anyone considered “different” by the government.
It is said that any tool, in the wrong hands, can be dangerous.
In the hands of government surveillance programs and law enforcement agencies, there’s simply no way that face recognition software will be not used to harm citizens. To my core, and my company’s core, we truly believe this to the point that we have missed out on very, very lucrative government contracts. I’d rather be able to sleep at night knowing that I’m not helping make drone strikes more “effective.”
We deserve a world where we’re not empowering governments to categorize, track and control citizens. Any company in this space that willingly hands this software over to a government, be it America or another nation’s, is willfully endangering people’s lives. And letters to Jeff Bezos aren’t enough. We need movement from the top of every single company in this space to put a stop to these kinds of sales.
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Fox News Flash top headlines for August 14
Fox News Flash top headlines for August 14 are here. Check out what's clicking on FoxNews.com
Amazon can tell when you're afraid.
In a Monday blog post, the tech giant led by CEO Jeff Bezos announced that its facial Rekognition software has added a new emotion that it can detect -- fear -- in addition to happy, sad, angry, suprised, disgusted, calm and confused.
The company also wrote that it has improved the accuracy of gender identification and age range estimation.
The controversial facial detection software, which falls under the auspices of the cloud computing division known as Amazon Web Services, has drawn condemnation from privacy and digital rights activists, and lawmakers, who object to Amazon's marketing of Rekognition to police departments and goverment agencies like Immigration and Customs Enforcement.
'Amazon is going to get someone killed by recklessly marketing this dangerous and invasive surveillance technology to goverments,' Evan Greer, deputy director of Fight for the Future, told Fox News via email. 'Facial recognition already automates and exacerbates police abuse, profiling and discrimination. Now Amazon is setting us on a path where armed goverment agents could make split-second decisions based on a flawed algorithm's cold testimony.'
A recent test by the American Civil Liberties Union (ACLU) of Amazon's face recognition software found it falsely matched 26 California state lawmakers, or more than 1 in 5, to images from a set of 25,000 public arrest photographs. Over half of the false positives were people of color, according to the ACLU.
During a Tuesday press conference announcing the study, California Assemblyman Phil Ting, a Democrat, said the test demonstrates that the software should not be widely used. Ting, who is Chinese-American, is one of the lawmakers who was falsely identified. He's co-sponsoring a bill to ban facial recognition technology from being used on police body cameras in California.
What Is Facial Recognition Software
A similar test of Rekognition in June 2018 found the software wrongly tagged 28 members of Congress as suspects, 40 percent of whom were people of color.
Ting explained: “While we can laugh about it as legislators, it’s no laughing matter if you are an individual who’s trying to get a job, if you’re an individual trying to get a home, if you get falsely accused of an arrest.”
Amazon has previously said that it encourages law enforcement agencies to use 99 percent confidence ratings for public safety applications of the technology.
'When using facial recognition to identify persons of interest in an investigation, law enforcement should use the recommended 99 percent confidence threshold, and only use those predictions as one element of the investigation (not the sole determinant),' the company said in a blog post earlier this year.
However, activists and technology experts have said that in real-world scenarios, that 99 percent guidance is not necessarily followed.
“If you get falsely accused of an arrest, what happens?” Ting said at the press conference. “It could impact your ability to get employment, it absolutely impacts your ability to get housing. There are real people who could have real impacts.”