Facial recognition : more peril than promise?

The use of facial recognition to identify perpetrators of the US Capitol riot comes at a time of burgeoning debate about when and how such technology should be used, and by whom. In the Singapore context, we should anticipate greater calls for accountability and measures to strengthen public trust a...

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Main Author:	Harjani, Manoj
Other Authors:	S. Rajaratnam School of International Studies
Format:	Commentary
Language:	English
Published:	2021
Subjects:	Social sciences::Political science Country and Region Studies Singapore and Homeland Security
Online Access:	https://hdl.handle.net/10356/147125
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-1471252023-03-05T17:15:27Z Facial recognition : more peril than promise? Harjani, Manoj S. Rajaratnam School of International Studies Social sciences::Political science Country and Region Studies Singapore and Homeland Security The use of facial recognition to identify perpetrators of the US Capitol riot comes at a time of burgeoning debate about when and how such technology should be used, and by whom. In the Singapore context, we should anticipate greater calls for accountability and measures to strengthen public trust as facial recognition is deployed within Smart Nation initiatives. Published version 2021-03-23T06:28:39Z 2021-03-23T06:28:39Z 2021 Commentary Harjani, M. (2021). Facial recognition : more peril than promise?. RSIS Commentaries, 024-21. https://hdl.handle.net/10356/147125 en RSIS Commentaries, 024-21 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Social sciences::Political science Country and Region Studies Singapore and Homeland Security
spellingShingle	Social sciences::Political science Country and Region Studies Singapore and Homeland Security Harjani, Manoj Facial recognition : more peril than promise?
description	The use of facial recognition to identify perpetrators of the US Capitol riot comes at a time of burgeoning debate about when and how such technology should be used, and by whom. In the Singapore context, we should anticipate greater calls for accountability and measures to strengthen public trust as facial recognition is deployed within Smart Nation initiatives.
author2	S. Rajaratnam School of International Studies
author_facet	S. Rajaratnam School of International Studies Harjani, Manoj
format	Commentary
author	Harjani, Manoj
author_sort	Harjani, Manoj
title	Facial recognition : more peril than promise?
title_short	Facial recognition : more peril than promise?
title_full	Facial recognition : more peril than promise?
title_fullStr	Facial recognition : more peril than promise?
title_full_unstemmed	Facial recognition : more peril than promise?
title_sort	facial recognition : more peril than promise?
publishDate	2021
url	https://hdl.handle.net/10356/147125
_version_	1759857802415702016

Facial recognition : more peril than promise?

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