Access the full text.
Sign up today, get DeepDyve free for 14 days.
Z. Thayer, C. Kuzawa (2011)
Biological memories of past environments: Epigenetic pathways to health disparitiesEpigenetics, 6
B. Brackeen (2018)
Facial recognition software is not ready for use by law enforcementTechCrunch
Susan Jones, Marylu McEwen (2000)
A Conceptual Model of Multiple Dimensions of IdentityJournal of College Student Development, 41
IEEE Transactions on Information Forensics and Security, 7
M. Seeman, Sharon Merkin, A. Karlamangla, B. Koretz, T. Seeman (2014)
Social status and biological dysregulation: the "status syndrome" and allostatic load.Social science & medicine, 118
A. Geronimus, M. Hicken, Danya Keene, J. Bound (2006)
"Weathering" and age patterns of allostatic load scores among blacks and whites in the United States.American journal of public health, 96 5
D. Lyon (2008)
Biometrics, Identification and SurveillanceIRPN: Innovation & Privacy Law & Policy (Topic)
C. Kuzawa, E. Sweet (2009)
Epigenetics and the embodiment of race: Developmental origins of US racial disparities in cardiovascular healthAmerican Journal of Human Biology, 21
P. Sterling (2012)
Allostasis: A model of predictive regulationPhysiology & Behavior, 106
Ludovica Lorusso (2014)
The Epigenetic Hypothesis and the New Biological Role of Self-Identified Racial CategoriesCritical Philosophy of Race, 2
Alberto Cammozzo (2011)
Face Recognition and Privacy enhancing techniques
Jose Torres (2015)
Race/Ethnicity and Stop‐and‐Frisk: Past, Present, FutureSociology Compass, 9
Rachel Finn, David Wright, M. Friedewald (2013)
Seven Types of Privacy
(2010)
Prison inmates at midyear 2009 - statistical tables
I. Ploeg (2009)
Machine-Readable Bodies Biometrics, Informatization and Surveillance, 49
J. Turner, M. Hogg, P. Oakes, S. Reicher, M. Wetherell (1989)
Rediscovering the social group: A self-categorization theory.Contemporary Sociology, 18
A. Breland (2017)
How white engineers built racist code – and why it’s dangerous for black peopleThe Guardian
D. Gayle (2016)
Police officers call for Notting Hill carnival review after record arrests
J. Murdock (2017)
Police to use ‘racist’ face-scanning tech at Notting Hill carnival 2017International Business Times
C. Garvie, J. Frankle (2016)
Facial-recognition software might have a racial bias problem
Ludovica Lorusso, F. Bacchini (2015)
A reconsideration of the role of self-identified races in epidemiology and biomedical research.Studies in history and philosophy of biological and biomedical sciences, 52
P. Phillips, Fang Jiang, A. Narvekar, Julianne Ayyad, A. O’Toole (2010)
An other-race effect for face recognition algorithmsACM Trans. Appl. Percept., 8
Melissa Williams, J. Eberhardt (2008)
Biological conceptions of race and the motivation to cross racial boundaries.Journal of personality and social psychology, 94 6
V. Dodd (2018)
Facial recognition out, knife arches in at Notting Hill carnivalThe Guardian
(2018)
Face off. The lawless growth of facial recognition in UK policing, may
E. Spitzer (1999)
The New York city police department’s ‘stop and frisk’ practices
D. White, J. Dunn, Alexandra Schmid, R. Kemp (2015)
Error Rates in Users of Automatic Face Recognition SoftwarePLoS ONE, 10
M. Berman, W. Lowery (2015)
The 12 key highlights from the DOJ’s scathing ferguson reportThe Washington Post
C. Garvie, J. Frankle (2016)
The perpetual line-up. Unregulated police face recognition in America, center on privacy and technology
Gwen Latendresse (2009)
The interaction between chronic stress and pregnancy: preterm birth from a biobehavioral perspective.Journal of midwifery & women's health, 54 1
A. Benner, Rashmita Mistry (2007)
Congruence of Mother and Teacher Educational Expectations and Low-Income Youth's Academic Competence.Journal of Educational Psychology, 99
A. Alterman (2003)
``A piece of yourself'': Ethical issues in biometric identificationEthics and Information Technology, 5
S. Carlo (2018)
We’ve got to stop the met police’s dangerously authoritarian facial recognition surveillanceMetro
(2013)
Racial discrimination in stop-and-frisk
K. Bowyer (2004)
Face recognition technology: security versus privacyIEEE Technology and Society Magazine, 23
D. Lyon (2002)
Everyday Surveillance: Personal data and social classificationsInformation, Communication & Society, 5
C. Good, C. Dweck, Joshua Aronson (2007)
Social identity, stereotype threat, and self-theories
A. Geller, J. Fagan (2010)
Pot as Pretext: Marijuana, Race, and the New Disorder in New York City Street PolicingDiscrimination
R. Juster, B. McEwen, S. Lupien (2010)
Allostatic load biomarkers of chronic stress and impact on health and cognitionNeuroscience & Biobehavioral Reviews, 35
T. Seeman, B. Mcewen, J. Rowe, Burton Singer (2001)
Allostatic load as a marker of cumulative biological risk: MacArthur studies of successful agingProceedings of the National Academy of Sciences of the United States of America, 98
C. Meissner, J. Brigham (2001)
Thirty years of investigating the own-race bias in memory for faces: A meta-analytic reviewPsychology, Public Policy and Law, 7
D. Kelly, P. Quinn, A. Slater, Kang Lee, Liezhong Ge, O. Pascalis (2007)
The Other-Race Effect Develops During InfancyPsychological Science, 18
J. Turner (2010)
Social categorization and the self-concept: A social cognitive theory of group behavior.
Homi Bhabha (1994)
The Location of Culture
Joy Buolamwini, Timnit Gebru (2018)
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
I. Ploeg (1999)
The illegal body: `Eurodac' and the politics of biometric identificationEthics and Information Technology, 1
A. Senior, Sharath Pankanti (2011)
Privacy Protection and Face Recognition
Aliya Saperstein, Andrew Penner (2012)
Racial Fluidity and Inequality in the United States1American Journal of Sociology, 118
(2010)
Healthy people 2020
Christine Peterson (2004)
Nanotechnology: from Feynman to the grand challenge of molecular manufacturingIEEE Technology and Society Magazine, 23
P. Brimblecombe (2010)
Monitoring the future
To appear: IEEE Transactions on Information Forensics and Security Face Recognition Performance: Role of Demographic Information
This study aims to explore whether face recognition technology – as it is intensely used by state and local police departments and law enforcement agencies – is racism free or, on the contrary, is affected by racial biases and/or racist prejudices, thus reinforcing overall racial discrimination.Design/methodology/approachThe study investigates the causal pathways through which face recognition technology may reinforce the racial disproportion in enforcement; it also inquires whether it further discriminates black people by making them experience more racial discrimination and self-identify more decisively as black – two conditions that are shown to be harmful in various respects.FindingsThis study shows that face recognition technology, as it is produced, implemented and used in Western societies, reinforces existing racial disparities in stop, investigation, arrest and incarceration rates because of racist prejudices and even contributes to strengthen the unhealthy effects of racism on historically disadvantaged racial groups, like black people.Practical implicationsThe findings hope to make law enforcement agencies and software companies aware that they must take adequate action against the racially discriminative effects of the use of face recognition technology.Social implicationsThis study highlights that no implementation of an allegedly racism-free biometric technology is safe from the risk of racially discriminating, simply because each implementation leans against our society, which is affected by racism in many persisting ways.Originality/valueWhile the ethical survey of biometric technologies is traditionally framed in the discourse of universal rights, this study explores an issue that has not been deeply scrutinized so far, that is, how face recognition technology differently affects distinct racial groups and how it contributes to racial discrimination.
Journal of Information Communication and Ethics in Society – Emerald Publishing
Published: Sep 17, 2019
Keywords: Race; Biometrics; Face recognition; Racial discrimination; Racial identity
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.