Facial Recognition: A cross-national Survey on Public Acceptance, Privacy, and Discrimination
Journal
ICML 2020 Workshop on Law and Machine Learning
Type
conference paper
Date Issued
2020-07-12
Author(s)
Research Team
AIML Lab
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.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
None
Event Title
ICML 2020 Workshop on Law and Machine Learning
Event Location
Vienna
Event Date
12-18. July 2020
Subject(s)
Eprints ID
261060
File(s)![Thumbnail Image]()
open.access
Name
2020_ICML_Law-ML-Workshop_Face_Recognition_Survey.pdf
Size
174.18 KB
Format
Adobe PDF
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