The Face Off: Law Enforcement Use of Face Recognition Technology
Publisher: Electronic Frontier Foundation
Date Written: 12/02/2018
Year Published: 2018
Resource Type: Article
Cx Number: CX22152
Face recognition is poised to become one of the most pervasive surveillance technologies, and law enforcement's use of it is increasing rapidly. However, the adoption of face recognition technologies like these is occurring without meaningful oversight, without proper accuracy testing of the systems as they are actually used in the field, and without the enactment of legal protections to prevent internal and external misuse.
Face recognition is poised to become one of the most pervasive surveillance technologies, and law enforcements use of it is increasing rapidly. Today, law enforcement officers can use mobile devices to capture face recognition-ready photographs of people they stop on the street; surveillance cameras boast real-time face scanning and identification capabilities; and federal, state, and local law enforcement agencies have access to hundreds of millions of images of faces of law-abiding Americans. On the horizon, law enforcement would like to use face recognition with body-worn cameras, to identify people in the dark, to match a person to a police sketch, or even to construct an image of a persons face from a small sample of their DNA.
However, the adoption of face recognition technologies like these is occurring without meaningful oversight, without proper accuracy testing of the systems as they are actually used in the field, and without the enactment of legal protections to prevent internal and external misuse. This has led to the development of unproven, inaccurate systems that will impinge on constitutional rights and disproportionately impact people of color.
Without restrictive limits in place, it could be relatively easy for the government and private companies to build databases of images of the vast majority of people living in the United States and use those databases to identify and track people in real time as they move from place to place throughout their daily lives. As researchers at Georgetown posited in 2016, one out of two Americans is already in a face recognition database accessible to law enforcement.1
This white paper takes a broad look at the problems with law enforcement use of face recognition technology in the United States. Part 1 provides an overview of the key issues with face recognition, including accuracy, security, and impact on privacy and civil rights. Part 2 focuses on FBIs face recognition programs, because FBI not only manages the repository for most of the criminal data used by federal, state, local, and tribal law enforcement agencies across the United States, but also provides direct face recognition services to many of these agencies, and its systems exemplify the wider problems with face recognition. After considering these current issues, Part 3 looks ahead to potential future face recognition capabilities and concerns. Finally, Part 4 presents recommendations for policy makers on the limits and checks necessary to ensure that law enforcement use of face recognition respects civil liberties.