Date of Award
Doctor of Education (EdD)
College of Education, Doctoral Program
Facial Recognition Technology (FRT) and the plethora of applications that have adopted this technology have exploded in the last decade. Most people have probably heard about local law enforcement agencies utilizing FRT to catch criminals, locate missing persons, and provide large-scale event security. Law enforcement's use of FRT has been criticized since its implementation. Critics have lambasted FRT, citing inaccuracy of the technology; potential race, age, and gender bias; the collection and retention of images; and a lack of governing standards as to when the technology can be applied. In addition, the lack of transparency has been met with fierce pushback as entities such as the ACLU have filed multiple lawsuits against federal agencies in an attempt to garner additional information on the use and practices of FRT within these agencies. This research paper will discuss multiple aspects of Facial Recognition Technology. A brief history of the technology will be given along with an overview of how FRT works and its implementation in law enforcement agencies, as well as in private sector settings. This paper will also review new and existing laws at the state, local, and federal level. Issues over the misuse of FRT, concerns of civil rights activists, and limitations of FRT will be conveyed. Police department policies governing the use of FRT will also be explored in detail.
Smith, Terry H., "A Comparative Analysis of Best Practices in a Facial Recognition Policy for Law Enforcement Agencies" (2022). College of Education Theses and Dissertations. 236.