When facial recognition technology fails, the potential for disgrace is not all that we are faced with

A problematic method is facials recognition. Despite the fact that many of us have heard stories about AI mistaking humans for animals, that is just the beginning. Understanding how law enforcement employs artificial intelligence to identify criminals is still in its infancy. But the possibility of shame is not the only issue we confront when technology fails.

Even though he was standing at his wife’s side as she went into labor at the time of the incident, one American was falsely accused of stealing a pair of socks from a TJ Maxx store. Unjustified people are being jailed as a result of this case of mistaken identity. APPLY NOW TOP 10 DEVOPS JOBS ENTHUSIASTS IN JUNE.

Critics are concerned that facial recognition could lead to incorrect identifications. What happens if a police officer incorrectly associates someone shattering a store window during a disturbance with someone who was not even present? What are the chances of this happening?

It really depends. According to the National Institute of Standards and Technology tests, the best face identification program had an error rate of less than 0.08 percent as of April 2020. This represents a significant improvement over 2014 when the best algorithm had an error rate of 4.1%. Check Elon Musk Mars Timeline – Estimation for Human to Step on Red Planet.

According to a report published in 2020 by the Center for Strategic and International Studies (CSI), accuracy improves when identification techniques are used to match people to clear, stable images, such as a passport photo or mugshot. According to the report, when used in this manner, face recognitions algorithms can achieve accuracy ratings of up to 99.97 percent on the National Institute of Standards and Technology’s Facial Recognition Vendor Test.

Disclaimer: The information in this article is purely the author’s opinion and does not constitute investment advice; it is provided solely for educational purposes.

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