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Public attitudes towards the use of automatic facial recognition technology in criminal justice systems around the world
Automatic facial recognition technology (AFR) is increasingly used in criminal justice systems around the world, yet to date there has not been an international survey of public attitudes toward its use. In Study 1, we ran focus groups in the UK, Australia and China (countries at different stages of...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513835/ https://www.ncbi.nlm.nih.gov/pubmed/34644306 http://dx.doi.org/10.1371/journal.pone.0258241 |
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author | Ritchie, Kay L. Cartledge, Charlotte Growns, Bethany Yan, An Wang, Yuqing Guo, Kun Kramer, Robin S. S. Edmond, Gary Martire, Kristy A. San Roque, Mehera White, David |
author_facet | Ritchie, Kay L. Cartledge, Charlotte Growns, Bethany Yan, An Wang, Yuqing Guo, Kun Kramer, Robin S. S. Edmond, Gary Martire, Kristy A. San Roque, Mehera White, David |
author_sort | Ritchie, Kay L. |
collection | PubMed |
description | Automatic facial recognition technology (AFR) is increasingly used in criminal justice systems around the world, yet to date there has not been an international survey of public attitudes toward its use. In Study 1, we ran focus groups in the UK, Australia and China (countries at different stages of adopting AFR) and in Study 2 we collected data from over 3,000 participants in the UK, Australia and the USA using a questionnaire investigating attitudes towards AFR use in criminal justice systems. Our results showed that although overall participants were aligned in their attitudes and reasoning behind them, there were some key differences across countries. People in the USA were more accepting of tracking citizens, more accepting of private companies’ use of AFR, and less trusting of the police using AFR than people in the UK and Australia. Our results showed that support for the use of AFR depends greatly on what the technology is used for and who it is used by. We recommend vendors and users do more to explain AFR use, including details around accuracy and data protection. We also recommend that governments should set legal boundaries around the use of AFR in investigative and criminal justice settings. |
format | Online Article Text |
id | pubmed-8513835 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-85138352021-10-14 Public attitudes towards the use of automatic facial recognition technology in criminal justice systems around the world Ritchie, Kay L. Cartledge, Charlotte Growns, Bethany Yan, An Wang, Yuqing Guo, Kun Kramer, Robin S. S. Edmond, Gary Martire, Kristy A. San Roque, Mehera White, David PLoS One Research Article Automatic facial recognition technology (AFR) is increasingly used in criminal justice systems around the world, yet to date there has not been an international survey of public attitudes toward its use. In Study 1, we ran focus groups in the UK, Australia and China (countries at different stages of adopting AFR) and in Study 2 we collected data from over 3,000 participants in the UK, Australia and the USA using a questionnaire investigating attitudes towards AFR use in criminal justice systems. Our results showed that although overall participants were aligned in their attitudes and reasoning behind them, there were some key differences across countries. People in the USA were more accepting of tracking citizens, more accepting of private companies’ use of AFR, and less trusting of the police using AFR than people in the UK and Australia. Our results showed that support for the use of AFR depends greatly on what the technology is used for and who it is used by. We recommend vendors and users do more to explain AFR use, including details around accuracy and data protection. We also recommend that governments should set legal boundaries around the use of AFR in investigative and criminal justice settings. Public Library of Science 2021-10-13 /pmc/articles/PMC8513835/ /pubmed/34644306 http://dx.doi.org/10.1371/journal.pone.0258241 Text en © 2021 Ritchie et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Ritchie, Kay L. Cartledge, Charlotte Growns, Bethany Yan, An Wang, Yuqing Guo, Kun Kramer, Robin S. S. Edmond, Gary Martire, Kristy A. San Roque, Mehera White, David Public attitudes towards the use of automatic facial recognition technology in criminal justice systems around the world |
title | Public attitudes towards the use of automatic facial recognition technology in criminal justice systems around the world |
title_full | Public attitudes towards the use of automatic facial recognition technology in criminal justice systems around the world |
title_fullStr | Public attitudes towards the use of automatic facial recognition technology in criminal justice systems around the world |
title_full_unstemmed | Public attitudes towards the use of automatic facial recognition technology in criminal justice systems around the world |
title_short | Public attitudes towards the use of automatic facial recognition technology in criminal justice systems around the world |
title_sort | public attitudes towards the use of automatic facial recognition technology in criminal justice systems around the world |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513835/ https://www.ncbi.nlm.nih.gov/pubmed/34644306 http://dx.doi.org/10.1371/journal.pone.0258241 |
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