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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
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.
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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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