Open AccessPublic attitudes towards the use of automatic facial recognition technology in criminal justice systems around the world
Author(s) -
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
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0258241
Subject(s) - criminal justice , economic justice , china , criminology , set (abstract data type) , political science , psychology , computer science , law , programming language
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.