ACLU Sues After Facial Recognition Falsely Identifies Florida Man

The American Civil Liberties Union (ACLU) has initiated a lawsuit against the city of Jacksonville Beach, Florida, along with individual police officers and officials, following the false arrest of Robert Dillon.

Dillon was apprehended for attempted child abduction in a town he reportedly had never visited. The sole evidence presented for his arrest was an AI facial recognition hit, which identified him with 93 percent confidence as the suspect.

According to the lawsuit, the responding officer did not obtain a copy of the original security camera footage. Instead, the officer took pictures of the screen with a cell phone. These photos were described in the lawsuit as low-resolution, with the suspect's face partially shadowed and off-axis.

An investigator subsequently used these grainy, secondhand cell phone photos to query the facial recognition system. The ACLU's lawsuit highlights that the accuracy of facial recognition technology "depends significantly on the quality of the probe image," noting that lower-quality images degrade the system's ability to produce reliable results.

The lawsuit emphasizes that such investigative tools should not serve as the exclusive basis for an arrest warrant. Jacksonville Sheriff T.K. Waters, who is among those being sued, previously stated, "If you came to me with a facial recognition hit and that was your probable cause, I would probably kick you out of my office because that's not how it works."

Despite this, an investigator from the Jacksonville Sheriff's Office allegedly ran the grainy photo through facial recognition and advised an officer of the 93% match to Dillon. (Source: Slashdot)