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:	Kay L Ritchie, Charlotte Cartledge, Bethany Growns, An Yan, Yuqing Wang, Kun Guo, Robin S S Kramer, Gary Edmond, Kristy A Martire, Mehera San Roque, David White
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2fd1d8cc809a472dbc50d668f20b1cf0
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spelling	oai:doaj.org-article:2fd1d8cc809a472dbc50d668f20b1cf02021-12-02T20:13:42ZPublic attitudes towards the use of automatic facial recognition technology in criminal justice systems around the world.1932-620310.1371/journal.pone.0258241https://doaj.org/article/2fd1d8cc809a472dbc50d668f20b1cf02021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0258241https://doaj.org/toc/1932-6203Automatic 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.Kay L RitchieCharlotte CartledgeBethany GrownsAn YanYuqing WangKun GuoRobin S S KramerGary EdmondKristy A MartireMehera San RoqueDavid WhitePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10, p e0258241 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Kay L Ritchie Charlotte Cartledge Bethany Growns An Yan Yuqing Wang Kun Guo Robin S S Kramer Gary Edmond Kristy A Martire Mehera San Roque David White Public attitudes towards the use of automatic facial recognition technology in criminal justice systems around the world.
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	article
author	Kay L Ritchie Charlotte Cartledge Bethany Growns An Yan Yuqing Wang Kun Guo Robin S S Kramer Gary Edmond Kristy A Martire Mehera San Roque David White
author_facet	Kay L Ritchie Charlotte Cartledge Bethany Growns An Yan Yuqing Wang Kun Guo Robin S S Kramer Gary Edmond Kristy A Martire Mehera San Roque David White
author_sort	Kay L Ritchie
title	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_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_sort	public attitudes towards the use of automatic facial recognition technology in criminal justice systems around the world.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/2fd1d8cc809a472dbc50d668f20b1cf0
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Public attitudes towards the use of automatic facial recognition technology in criminal justice systems around the world.

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