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Public attitudes towards the use of automatic facial recognition technology in criminal justice systems around the world

Authors :
Bethany Growns
Gary Edmond
Mehera San Roque
Yuqing Wang
Charlotte Cartledge
Robin S. S. Kramer
Kay L. Ritchie
David White
Kristy A. Martire
Kun Guo
An Yan
Source :
PLoS ONE, PLoS ONE, Vol 16, Iss 10, p e0258241 (2021)
Publication Year :
2021
Publisher :
Public Library of Science, 2021.

Abstract

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.

Details

Language :
English
ISSN :
19326203
Volume :
16
Issue :
10
Database :
OpenAIRE
Journal :
PLoS ONE
Accession number :
edsair.doi.dedup.....13625f29f88b401f27c289f1c7681e57