In an age of surveillance capitalism, anchoring the design of emerging smart services in trustworthiness is urgent and important. Edge Intelligence, which brings together the fields of AI and Edge computing, is a key enabling technology for smart services. Trustworthy Edge Intelligence should thus be a priority research concern. However, determining what makes Edge Intelligence trustworthy is not straight forward. This paper examines requirements for trustworthy Edge Intelligence in a concrete application scenario of voice-activated services. We contribute to deepening the understanding of trustworthiness in the emerging Edge Intelligence domain in three ways: firstly, we propose a unified framing for trustworthy Edge Intelligence that jointly considers trustworthiness attributes of AI and the IoT. Secondly, we present research outputs of a tangible case study in voice-activated services that demonstrates interdependencies between three important trustworthiness attributes: privacy, security and fairness. Thirdly, based on the empirical and analytical findings, we highlight challenges and open questions that present important future research areas for trustworthy Edge Intelligence.
翻译：在监视资本主义时代,将新兴的智能服务设计建立在可信赖性的基础上是紧迫和重要的。 将AI和Edge计算领域结合起来的边缘情报系统是智能服务的关键赋能技术。 因此,值得信赖的边缘情报系统应成为优先研究关注的事项。然而,确定什么使Edge情报系统具有可信赖性并不是直截了当的。本文在语音激活服务的具体应用情景中审查了对可信赖的边缘情报系统的要求。我们以三种方式帮助加深对新兴Edge情报领域的可信赖性的理解:第一,我们提出一个可信赖的Ege情报系统的统一框架,共同考虑AI和IoT的可信赖性特性。第二,我们介绍了语音激活服务系统的一项具体案例研究的研究成果,该案例研究显示了三种重要信任性属性之间的相互依存关系:隐私、安全和公平。第三,根据经验和分析结论,我们强调了未来对可信Edge情报系统的重要研究领域的挑战和开放问题。
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