Facial Recognition: A cross-national Survey on Public Acceptance, Privacy, and Discrimination

Item Type Conference or Workshop Item (Paper)
Abstract

With rapid advances in machine learning (ML), more of this technology is being deployed into the real world interacting with us and our environment. One of the most widely applied application of ML is facial recognition as it is running on millions of devices. While being useful for some people, others perceive it as a threat when used by public authorities. This discrepancy and the lack of policy increases the uncertainty in the ML community about the future direction of facial recognition research and development. In this paper we present results from a cross-national survey about public acceptance, privacy, and discrimination of the use of facial recognition technology (FRT) in the public. This study provides insights about the opinion towards FRT from China, Germany, the United Kingdom (UK), and the United States (US), which can serve as input for policy makers and legal regulators.

Authors Steinacker, Léa; Meckel, Miriam; Kostka, Genia & Borth, Damian
Journal or Publication Title International Conference on Machine Learning (ICML) - Law and ML Workshop
Language English
Subjects computer science
HSG Classification contribution to scientific community
Date 12 July 2020
Event Title International Conference on Machine Learning - Law and ML Workshop
Event Location Vienna
Event Dates 12-18. July 2020
Depositing User Prof. Dr. Damian Borth
Date Deposited 22 Sep 2020 08:43
Last Modified 22 Sep 2020 08:49
URI: https://www.alexandria.unisg.ch/publications/261060

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Citation

Steinacker, Léa; Meckel, Miriam; Kostka, Genia & Borth, Damian: Facial Recognition: A cross-national Survey on Public Acceptance, Privacy, and Discrimination. 2020. - International Conference on Machine Learning - Law and ML Workshop. - Vienna.

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https://www.alexandria.unisg.ch/id/eprint/261060
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