Publication Type

Journal Article

Version

submittedVersion

Publication Date

11-2021

Abstract

The use of facial recognition technology has given rise to much debate relating to issues concerning privacy infringements, bias and inaccuracies of data and outputs, possibilities of covert use, the lack of data security and the problem of function creep. Certain states and jurisdictions have called for bans and moratoria on the use of facial recognition technology. This paper argues that a blanket ban on facial recognition technology would be overly precautionary without fully considering the wide range of uses and benefits of the innovation. To promote its acceptance, trust in facial recognition technology should be developed in a calibrated fashion taking into account the relative risks and benefits, risk mitigation measures and safeguards based on legal and ethical considerations. This paper recommends some guidelines for a calibrated trust-based approach.

Keywords

facial recognition technology, artificial intelligence, privacy, data protection, bias, trust

Discipline

Science and Technology Law | Technology and Innovation

Research Areas

Innovation, Technology and the Law

Publication

International Journal of Law and Information Technology

Volume

29

Issue

4

First Page

305

Last Page

331

ISSN

0967-0769

Identifier

10.1093/ijlit/eaab011

Publisher

Oxford University Press

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1093/ijlit/eaab011

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