University of Sussex
Browse
s43439-021-00022-x.pdf (528.48 kB)

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

Download (528.48 kB)
journal contribution
posted on 2023-06-10, 00:17 authored by Qingxiu BuQingxiu Bu
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.

History

Publication status

  • Published

File Version

  • Published version

Journal

International Cybersecurity Law Review

ISSN

2662-9720

Publisher

Springer

Volume

2

Page range

113-145

Department affiliated with

  • Law Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2021-07-05

First Open Access (FOA) Date

2021-07-05

First Compliant Deposit (FCD) Date

2021-07-05

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC