Francisco Arteaga facial recognition wrongful arrest
Francisco Arteaga facial recognition wrongful arrest
Occurred: November 2019
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A man spent four years in jail having been charged with armed robbery by police using a facial recognition system that they refused to provide information about, resulting in his incarceration and loss of rights.
Francisco Arteaga was arrested in November 2019 for an armed robbery in New Jersey, USA, that he insists he did not commit.
Before Arteaga was identified as a suspect, New Jersey police found that witnesses at the scene were unable to describe the perpetrator. A facial recognition search run in state by New Jersey turned up no results.
New Jersey detectives then sent surveillance footage to the New York Police Department (NYPD), which identified Arteaga as a "potential match".
Based on this, New Jersey police created photo arrays including Arteaga's image, which witnesses subsequently used to identify him as the perpetrator.
Arteaga spent four years in jail awaiting his court case.
The case gained notoriety after it emerged that Arteaga had been refused access to information about the facial recognition system used in his arrest, including how it works, its error rates and source code.
Facial recognition system have been shown to have higher error rates for certain minority demographic groups, notably people of colour, Black women and trans and nonbinary people, potentially leading to wrongful arrests.
A New Jersy court ruled that the defendant would be deprived of due process rights unless he could access the raw materials police used to identify him and test its reliability to build a defense, and that the inner workings of the software system is vital to impeach witnesses’ identification of him, challenge the state’s investigation, and create reasonable doubt.
The fact that the facial recognition search was conducted by an out-of-state agency for New Jersey police also proved controversial.
The court's decision is seen as a victory for transparency and accountability campaigners, as well as for groups concerned about the fairness and reliability of impacts of facial recognition technologies.
This case underscores the ongoing debate about the use of facial recognition in law enforcement and the importance of due process rights in the face of evolving technologies.
Facial recognition system
A facial recognition system is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces.
Source: Wikipedia 🔗
Unknown
Operator: New York Police Department (NYPD)
Developer:
Country: USA
Sector: Govt - police
Purpose: Identify criminal suspects
Technology: Facial recognition
Issue: Accountability; Accuracy/reliability; Bias/discrimination; Human/civil rights; Transparency
Page info
Type: Incident
Published: December 2024