The global governance on automated facial recognition (AFR): ethical and legal opportunities and privacy challenges

Bu, Qingxiu (2021) The global governance on automated facial recognition (AFR): ethical and legal opportunities and privacy challenges. International Cybersecurity Law Review, 2. pp. 113-145. ISSN 2662-9720

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Abstract

The digital revolution transforms people’s view about values and priorities. Automated facial recognition (AFR) comes with many concerns as well as benefits. The technology raises significant legal and ethical challenges, which risk perpetuating systemic injustice unless countervailing measures are put in place. The way facial images are obtained and used, potentially without consent or opportunities to opt out, can have a negative impact on people’s privacy. Laws on privacy vary across jurisdictions, which has an enormous effect on measures that could be taken to safeguard AFR-related ethical concerns. In an era of digitalisation, the existing laws are ill-equipped to address evolving needs against threats to individual privacy. Integrating the principles of proportionality and necessity, of the upmost importance is to ensure the proper use of AFR in a socially responsible way. It is imperative to build an AFR infrastructure that incorporates society’s legal and ethical commitments, and further address the challenges of governing the technology.

Item Type: Article
Schools and Departments: School of Law, Politics and Sociology > Law
SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 05 Jul 2021 07:56
Last Modified: 05 Jul 2021 08:00
URI: http://sro.sussex.ac.uk/id/eprint/100151

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