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