Apple AI accused of leading to man's wrongful arrest

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Mr Bah claims Apple’s facial recognition technology has mistakenly identified him as a thief

A student is suing Apple Inc for $1bn (£0.77bn), claiming that its in-store AI led to his mistaken arrest.

Ousmane Bah, 18, said he was accused of stealing from Apple Stores in four US states, and arrested at his home in New York last autumn.

He believes Apple’s algorithms linked video footage of the thief with his name, leading to the charges.

He also claims that a detective reviewed security footage and found the thief looked “nothing like” him.

Mr Bah had previously lost his provisional driving licence, which he believes may have been used by the thief during the robberies. The licence is not meant to be used for identification purposes, and does not include a photograph.

Mr Bah believes that Apple’s algorithms are now trained to connect his name to images of the thief.

A detective with the New York Police Department allegedly told Mr Bah that the thief probably used Mr Bah’s driving licence as identification during one of the robberies. The detective reportedly said that this may have caused Mr Bah to be charged with thefts committed at Apple Stores in New York, Delaware, New Jersey and Massachusetts, according to court papers.

Mr Bah said one of the charges was for the theft of Apple pencils from a store in Boston – a city he had never visited. On the date of the robbery, he says he was attending his senior prom in New York.

Mr Bah claims that travelling to different states to respond to charges filed against him has affected his college attendance, and his grades have suffered as a result.

Apple’s Face ID technology caused a stir when it was launched on the iPhone X in 2017, with commentators concerned that users’ biometric data could be hacked if they used the feature. As far as is known, this is the first case against Apple that claims its facial recognition technology has been used to identify customers in its stores.

Apple did not respond to requests for comment.

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