论文标题
面部识别：公众接受，隐私和歧视的跨国调查
Facial Recognition: A cross-national Survey on Public Acceptance, Privacy, and Discrimination
论文作者
论文摘要
随着机器学习的迅速发展（ML），更多的技术正在与我们和我们的环境互动的现实世界中。 ML最广泛应用的应用之一是面部识别，因为它在数百万个设备上运行。尽管对某些人有用，但其他人则认为这是公共当局使用时的威胁。这种差异和缺乏政策增加了ML社区对面部识别研发未来方向的不确定性。在本文中，我们介绍了一项关于公众接受，隐私和歧视面部识别技术（FRT）的跨国调查的结果。这项研究提供了有关来自中国，德国，英国（英国）和美国（美国）的FRT意见的见解，这些意见可以作为政策制定者和法律监管机构的意见。
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.
