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Beyond facial recognition: can behavioural AI identify risk without identifying people?

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Patel, Preeti (2026) Beyond facial recognition: can behavioural AI identify risk without identifying people? ITNOW. ISSN 1746-5710 (In Press)

Abstract

Facial recognition has become one of the defining technologies of modern surveillance. Today, AI systems can identify individuals from images and video with a level of accuracy that would have seemed remarkable only a decade ago. Yet despite these advances, public safety remains one of the most difficult challenges for AI. Preeti Patel, Professor and Co-Director of the AI and Data Science Research Group, London Metropolitan University, explores.

Documents
11714:58341
[thumbnail of ITNOW_Beyond-facial-recognition_final.pdf]
ITNOW_Beyond-facial-recognition_final.pdf - Accepted Version
Restricted to Repository staff only until 30 December 2027.

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Details
Title:
Beyond facial recognition: can behavioural AI identify risk without identifying people?
Creators:
Patel, Preeti
Date:
16 July 2026
Subjects:
000 Computer science, information & general works
Department:
School of Computing and Digital Media (SCDM)
Publisher:
Oxford Academic
Uncontrolled Keywords:
facial recognition; behavioural artificial intelligence; behavioural AI; surveillance technologies
Record
URI:
https://repository.londonmet.ac.uk/id/eprint/11714
Item Type:
Article
Depositing User:
Preeti Patel
Date Deposited:
30 Jul 2026 08:38
Revision:
20
Last Modified:
30 Jul 2026 08:39
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