Power management is also critical, as providing and managing a large amount of power at the edge is unprecedented. Orchestration strategies should provide reliable resource slicing with limited resources, and intelligent scaling while preserving data privacy in a distributed fashion. To reduce complexity, more lightweight solutions are needed for containerization as well as smart monitoring strategies with reduced overhead. This creates a complex network to handle, subject to failures of different natures, that requires novel solutions to work in practice. Different from traditional centralized networks, the edge is distributed by nature and is usually equipped with limited connectivity and compute capacity. Edge networks, which bring computational capacity closer to the users/clients, are a promising solution for supporting these critical low latency services. Thirdly, based on the empirical and analytical findings, we highlight challenges and open questions that present important future research areas for trustworthy Edge Intelligence.Įmerging use-cases like smart manufacturing and smart cities pose challenges in terms of latency, which cannot be satisfied by traditional centralized networks. 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. 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. This paper examines requirements for trustworthy Edge Intelligence in a concrete application scenario of voice-activated services.

However, determining what makes Edge Intelligence trustworthy is not straight forward. Trustworthy Edge Intelligence should thus be a priority research concern. Edge Intelligence, which brings together the fields of AI and Edge computing, is a key enabling technology for smart services. In an age of surveillance capitalism, anchoring the design of emerging smart services in trustworthiness is urgent and important.

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