---
_id: '50605'
abstract:
- lang: eng
  text: "<jats:title>Abstract</jats:title>\r\n               <jats:p>This chapter
    discusses the use of facial recognition technology (FRT) by law enforcement with
    a special focus on machine learning applications. First, FRT is situated in the
    larger context of the rise of video surveillance and a shift in Western security
    culture. The chapter shows how the promise of FRT addresses the problems of video
    surveillance. Then, it explains how FRT works and how machine learning techniques
    such as eigenface and convolutional neural networks come into play. Afterward,
    it explains how the accuracy and effectiveness of FRT are evaluated and why it
    is important to take the interplay of human operators and FRT systems into account.
    Finally, several controversies around the police use of FRT are presented and
    the limits of technological solutions to the problem of bias are demonstrated.</jats:p>"
author:
- first_name: Jens
  full_name: Hälterlein, Jens
  id: '94837'
  last_name: Hälterlein
citation:
  ama: 'Hälterlein J. Facial Recognition in Law Enforcement. In: <i>The Oxford Handbook
    of the Sociology of Machine Learning</i>. Oxford University Press; 2023. doi:<a
    href="https://doi.org/10.1093/oxfordhb/9780197653609.013.25">10.1093/oxfordhb/9780197653609.013.25</a>'
  apa: Hälterlein, J. (2023). Facial Recognition in Law Enforcement. In <i>The Oxford
    Handbook of the Sociology of Machine Learning</i>. Oxford University Press. <a
    href="https://doi.org/10.1093/oxfordhb/9780197653609.013.25">https://doi.org/10.1093/oxfordhb/9780197653609.013.25</a>
  bibtex: '@inbook{Hälterlein_2023, title={Facial Recognition in Law Enforcement},
    DOI={<a href="https://doi.org/10.1093/oxfordhb/9780197653609.013.25">10.1093/oxfordhb/9780197653609.013.25</a>},
    booktitle={The Oxford Handbook of the Sociology of Machine Learning}, publisher={Oxford
    University Press}, author={Hälterlein, Jens}, year={2023} }'
  chicago: Hälterlein, Jens. “Facial Recognition in Law Enforcement.” In <i>The Oxford
    Handbook of the Sociology of Machine Learning</i>. Oxford University Press, 2023.
    <a href="https://doi.org/10.1093/oxfordhb/9780197653609.013.25">https://doi.org/10.1093/oxfordhb/9780197653609.013.25</a>.
  ieee: J. Hälterlein, “Facial Recognition in Law Enforcement,” in <i>The Oxford Handbook
    of the Sociology of Machine Learning</i>, Oxford University Press, 2023.
  mla: Hälterlein, Jens. “Facial Recognition in Law Enforcement.” <i>The Oxford Handbook
    of the Sociology of Machine Learning</i>, Oxford University Press, 2023, doi:<a
    href="https://doi.org/10.1093/oxfordhb/9780197653609.013.25">10.1093/oxfordhb/9780197653609.013.25</a>.
  short: 'J. Hälterlein, in: The Oxford Handbook of the Sociology of Machine Learning,
    Oxford University Press, 2023.'
date_created: 2024-01-18T14:20:11Z
date_updated: 2024-01-18T14:20:56Z
department:
- _id: '36'
- _id: '11'
doi: 10.1093/oxfordhb/9780197653609.013.25
language:
- iso: eng
publication: The Oxford Handbook of the Sociology of Machine Learning
publication_identifier:
  isbn:
  - '9780197653609'
  - '9780197653630'
publication_status: published
publisher: Oxford University Press
status: public
title: Facial Recognition in Law Enforcement
type: book_chapter
user_id: '94837'
year: '2023'
...