Publication Type
Book Chapter
Version
publishedVersion
Publication Date
9-2020
Abstract
During the COVID-10 pandemic, infected persons have been quarantined in segregated facilities. Individuals who have been in contact with the infected persons may be subject to self-isolation measures or stay-home notices. Technological tools such as proximity and contact tracing apps are used to identify those who have been in close contact with infected persons. The contact tracing QR code used in Singapore's SafeEntry requires the submission of personal information (including names and identification numbers) prior to entry into certain public places such as malls, factories and restaurants. Robots, in addition to designated human officers, have been delpoyed to maintain social distancing in public places. Beyong these measures and technologies, facial recognition teachnology (FRT) is being used for public health survellience during the COVID-19 pandemic. At the workplace, FRT has been utilised to detect employees with thermal fever and to ensure that they wear masks. The use of FRT is ny no means widespread or uniform across the globe. There are, understandably, serious concerns with privacy and bias.
Keywords
Facial recognition, technology, COVID-19, health, privacy, bias, pandemic
Discipline
Law and Society | Public Health | Science and Technology Law
Research Areas
Innovation, Technology and the Law
Publication
Law and COVID-19
First Page
161
Last Page
165
ISBN
9789811808272
Publisher
School of Law, Singapore Management University
City or Country
Singapore
Embargo Period
4-19-2021
Citation
CHAN, Gary Kok Yew.
Reflections on the use of facial recognition technology during COVID-19. (2020). Law and COVID-19. 161-165.
Available at: https://ink.library.smu.edu.sg/sol_research/3235
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.2139/ssrn.3686357