Man Files for Damages after the First Case of Facial Recognition Leading To Wrongful Arrest

As artificial intelligence and machine, learning entered our daily lives, nothing more than facial recognition discussed.

Government and law officials have claimed that face-to-face recognition on surveillance cameras needed as a way to fight crime against us, when people left behind and technology violates the right to freedom and ethics. Regardless of the opposition, law enforcement in many countries has implemented their use, including the United States and China.

Now, after a serious mistake by U.S. law enforcement, the city of Detroit has filed a lawsuit for the first case of a false arrest because of oral recognition technology. Robert Williams claims he was not at the front door when police arrested him, suspecting he sold a watch worth $4,000 in an incident a year ago.

“I came home from work and was caught on my driveway in front of my wife and daughters, who were crying because a computer made a mistake,” Williams said in a statement. “It should never have happened and I want to make sure that this painful experience never happens to anyone else.” The arrests made after some video footage of the crime scene played with facial recognition software.

Although the footage is relatively blurry, – poor lighting and the shoplifter never actually looking directly at the camera – the facial recognition technology returns William as a match. This match, presumably, led to Williams’ arrest. However, since the arrest, the police involved have backtracked and admitted that “the computer went wrong”, only Williams was arrested for giving a false analogy to the perpetrator.

“As a result, Mr. Williams was arrested on a public day in front of his wife and children without explanation, humiliated and imprisoned for about 30 hours in a dirty, overcrowded room where he had to sleep on empty concrete. It claimed that there was no other reason other than to look like a shoplifter, which filed on Tuesday, April 13. This marks the first time that facial recognition has blamed for a person’s wrongful arrest. Local law enforcement has since debated the claim, saying it was not actually a face recognition, but “just bad intelligence work.”

“Verbal recognition was used, but the arrest was not so bad.” Detroit Police Chief James Craig said in a statement, Detroit News reported. Face recognition used in every case, from law enforcement to unlocking your phone. It involves deep learning algorithms to accurately identify faces in real-time by analyzing facial features, sizes and distances between specific nodal points to create a unique number of signatures for each person. However, facial recognition – like all AI – is still in its infancy and tends to go wrong.