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Granular biopolitics: facial recognition, pandemics and the securitization of circulation

Research output: Contribution to journalArticleResearchpeer-review

Abstract

The COVID-19 pandemic has provided opportunities for facial recognition technology and other forms of biometric monitoring to expand into new markets. One anticipated result is the wholesale reconfiguration of shared and public space enabled by the automated identification and tracking of individuals in real time. Drawing on data from several industry trade shows, this article considers the forms of ‘environmental’ governance envisioned by those developing and deploying the technology for the purposes of security, risk management, and profit. We argue that the ‘contactless culture’ that emerged during the COVID-19 pandemic anticipates the normalization of a form of mass-customized biopolitics: the ability to operate on the population and the individual simultaneously through automated forms of passive identification. This form of governance relies not just on machinic recognition, but on the real-time reconfiguration of physical space through automated access controls and the channelling of both people and information.

Original languageEnglish
Pages (from-to)1204-1226
Number of pages23
JournalNew Media & Society
Volume26
Issue number3
DOIs
Publication statusPublished - Mar 2024

Keywords

  • biopower
  • COVID-19
  • facial recognition
  • governance
  • quarantine
  • surveillance
  • ARC Centre of Excellence for Automated Decision-Making and Society

    Thomas, J. (Primary Chief Investigator (PCI)), Burgess, J. (Chief Investigator (CI)), Sellis, T. (Chief Investigator (CI)), Horst, H. (Chief Investigator (CI)), Lupton, D. (Chief Investigator (CI)), Goggin, G. (Chief Investigator (CI)), Pink, S. (Chief Investigator (CI)), Sanderson, M. (Chief Investigator (CI)), Henman, P. (Chief Investigator (CI)), Bruns, A. (Chief Investigator (CI)), Dan, H. (Chief Investigator (CI)), Andrejevic, M. (Chief Investigator (CI)), Suzor, N. (Chief Investigator (CI)), Potts, J. (Chief Investigator (CI)), Parker, C. (Chief Investigator (CI)), Leckie, C. A. (Chief Investigator (CI)), Dowse, L. (Chief Investigator (CI)), Richardson, M. L. (Chief Investigator (CI)), Schulz, W. (Partner Investigator (PI)), Fors, V. (Partner Investigator (PI)), de Rijke, M. (Partner Investigator (PI)), Puschmann, C. (Partner Investigator (PI)), Jurko, I. (Partner Investigator (PI)), Stoyanovich, J. (Partner Investigator (PI)), Yeung, K. (Partner Investigator (PI)) & Pasquale, F. (Partner Investigator (PI))

    27/08/2027/08/27

    Project: Research

  • Assessing the Personalisation of Search Results from Major Recommendation Engines

    Bruns, A. (Primary Chief Investigator (PCI)), Burgess, J. (Chief Investigator (CI)), Suzor, N. (Chief Investigator (CI)), Andrejevic, M. (Chief Investigator (CI)) & Weatherall, K. (Chief Investigator (CI))

    1/02/2330/11/23

    Project: Research

  • AV: When Your Face is Your ID: Public Responses to Automated Facial Recognition

    Andrejevic, M. (Primary Chief Investigator (PCI)), Selwyn, N. (Chief Investigator (CI)), Smith, G. J. D. (Chief Investigator (CI)), Gu, X. (Chief Investigator (CI)) & Roche, C. (Partner Investigator (PI))

    18/01/2031/12/25

    Project: Research

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