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Unmasking Biometrics’ Biases: Facing Gender, Race, Class and Ability in Biometric Data Collection Cover

Unmasking Biometrics’ Biases: Facing Gender, Race, Class and Ability in Biometric Data Collection

By:   
Open Access
|Nov 2018

Abstract

The article investigates the role of identity and the body in biometric technologies, contesting the conception that biometrics are neutral. It discusses biometrics’ exclusionary effects with regards to gender, race, class and ability, among others, by unveiling its historical links to nineteenth-century pseudoscientific practices. It does so through an analysis of Zach Blas’ Facial Weaponization Suite, an artistic critique of this dominant conception that draws attention to biometrics’ contested history and its current implications for marginalised identities.

Language: English
Page range: 89 - 105
Published on: Nov 1, 2018
Published by: Sound & Vision
In partnership with: Paradigm Publishing Services

© 2018 Rosa Wevers, published by Sound & Vision
This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 License.