The ACLU says that a test of Amazon & # 39; s face recognition software has incorrectly entered 1 in 5 legislators in its system

Facial recognition mistaken lawmakers for CRIMINALS in tests conducted by ACLU while California prohibits police use of technology

  • A test from the ACLU does not match 26 lawmakers in California, the group says
  • That amount corresponds to a mismatch of 1 in 5 and has led to a ban
  • In California, lawmakers will consider banning face recognition in police cameras
  • If adopted, the ban would be the greatest regulation of technology to date

Despite the approval seal of face recognition by law enforcement agencies in the US, recent experiments show that the technology is far from infallible.

In a demonstration of the American Civil Liberties Union, approximately 26 California lawmakers were misidentified by face-matching software built by Amazon, bringing the speed of a mismatch to around 1 in 5.

The results mimic a similar test that was done by the advocacy group in 2018, when a test saw that Amazon's software, called & # 39; Rekognition & # 39 ;, disrupted 28 congressmen – many of whom were colored people.

The ACLU says that a test of Amazon & # 39; s face recognition software has incorrectly entered 1 in 5 legislators in its system

The ACLU says that a test of Amazon & # 39; s face recognition software has incorrectly entered 1 in 5 legislators in its system

Similarly, the software tried to match their head shots with a database of well-known criminals – a process that has become commonplace for the at least 200 US departments that use Rekognition software.

According to the LA Times, the test feeds the calls of California lawmakers to limit the application of the technology in a enforcement capacity, including integration with police & cameras.

& # 39; The software is clearly not ready for use in a law enforcement capacity & # 39 ;, California Assemblyman Phil Ting told the LA Times.

& # 39; With these errors we can chuckle a little, but if you are arrested and it is on your file, it can be difficult to find a home, find a job. It has real consequences. & # 39;

Increasingly, legislators and activists are concerned that technology can also lead to mass surveillance, such as those that may violate people's civil rights, especially in combination with technology such as home security and cameras from police authorities.

& # 39; Body cameras & # 39; s were really used to build trust between law enforcement agencies and communities & # 39 ;, Ting told the LA Times.

& # 39; Instead of trusting, you get 24/7 surveillance. & # 39;

A state-wide law prohibiting the use of technology in police-worn body cameras would be an important step forward for opponents of the technology who would like to use it.

Awareness about the use and potential abuse of face recognition has spread as technology finds its way into more arenas

Awareness about the use and potential abuse of face recognition has spread as technology finds its way into more arenas

Awareness about the use and potential abuse of face recognition has spread as technology finds its way into more arenas

While other, more localized, laws are now in the books, there is no federal regulation on exactly when and how facial recognition software can be used in the police, even despite a first congress on the topic that took place earlier this year.

Recently, Oakland California became the third city in the entire country to ban the use of facial recognition software, following large subway lines such as San Francisco and smaller examples such as Somerville Massachusetts.

Critics say the use of technology involves a number of pitfalls, including possibly increasing the risk of someone being wrongly accused of a crime.

In an unprecedented report, the New York police were found in May to introduce celebrity lookalikes into its face recognition software in an effort to match famous faces with photos of criminals captured on camera surveillance and more.

HOW DOES FACE RECOGNITION TECHNOLOGY WORK?

Face recognition software works by matching real-time images with a previous photo of a person.

Each face has around 80 unique nodes in the eyes, nose, cheeks and mouth that distinguish one person from the other.

A digital video camera measures the distance between different points on the human face, such as the width of the nose, depth of the eye sockets, distance between the eyes and the shape of the jaw line.

Another smart surveillance system (photo) can scan 2 billion faces in seconds, has been revealed in China. The system connects to millions of CCTV cameras & uses artificial intelligence to select targets. The army is working on a similar version of this with AI to track people across the country

Another smart surveillance system (photo) can scan 2 billion faces in seconds, has been revealed in China. The system connects to millions of CCTV cameras & uses artificial intelligence to select targets. The army is working on a similar version of this with AI to track people across the country

Another smart surveillance system (photo) can scan 2 billion faces in seconds, has been revealed in China. The system connects to millions of CCTV cameras & uses artificial intelligence to select targets. The army is working on a similar version of this with AI to track people across the country

This produces a unique numeric code that can then be linked to a corresponding code obtained from a previous photo.

A face recognition system used by officials in China connects to millions of CCTV cameras & uses artificial intelligence to set targets.

Experts believe that facial recognition technology will quickly catch up with fingerprint technology as the most effective way to identify people.

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