  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.
