Analysis on Privacy Issues with Facial Recognition Technology

DOI

10.2991/assehr.k.220701.006How to use a DOI?

Keywords

Face recognition technology; Privacy; Contextual integrity; Privacy protection technology

Abstract

The implementation of face recognition technology is simple and easy to cause abuse of technology. Its contactless nature makes privacy risks more hidden. In many contexts, people lose their autonomy in facial information. Helen Nissenbaum analyzes privacy from the perspective of information transmission. Under his “contextual integrity” theory, we can more clearly understand that the reasons for the privacy problems of face recognition technology are mainly the mismatch of information attributes, the neglect of information transmission principles, and the shortcomings of the technology itself. Based on this, in order to maintain contextual integrity, we should be guided by the principle of necessity of “matching technology with context” in technology practice. So as to improve the level of technical management and user’ privacy awareness, and attach importance to the technical means of privacy protection.

Copyright

© 2022 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license.

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TY  - CONF
AU  - Pengyu Jiang
PY  - 2022
DA  - 2022/07/04
TI  - Analysis on Privacy Issues with Facial Recognition Technology
BT  - Proceedings of the 2022 International Conference on Science and Technology Ethics and Human Future (STEHF 2022)
PB  - Atlantis Press
SP  - 23
EP  - 29
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220701.006
DO  - 10.2991/assehr.k.220701.006
ID  - Jiang2022
ER  -