IEEE SCC 2022

Towards Trustworthy Edge Intelligence: Insights from Voice-activated 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.


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BibTeX:
@inproceedings{Toussaint:SCC2022,
 author = {Toussaint, Wiebke and Ding, Aaron Yi},
 title = {Towards Trustworthy Edge Intelligence: Insights from Voice-activated Services},
 booktitle = {Proceedings of the 19th IEEE International Conference on Services Computing},
 series = {SCC '22},
 year = {2022},
 publisher = {IEEE}
}
How to cite:

Wiebke Toussaint, Aaron Yi Ding. 2022. "Towards Trustworthy Edge Intelligence: Insights from Voice-activated Services". In Proceedings of the 19th IEEE International Conference on Services Computing (SCC '22).