Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services

TL;DR

This paper explores the concept of trustworthiness in Edge Intelligence, focusing on voice-activated services, by proposing a unified framework and analyzing key attributes like privacy, security, and fairness.

Contribution

It introduces a unified trustworthiness framework for Edge Intelligence and provides empirical insights from a voice-activated services case study.

Findings

Identifies interdependencies among privacy, security, and fairness.

Highlights challenges and open questions for future research.

Provides empirical analysis of trustworthiness attributes in voice services.

Abstract

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.