Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)
48 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationProceedings - 2022 IEEE International Conference on Services Computing, SCC 2022
EditorsClaudio Agostino Ardagna, Hongyi Bian, Carl K. Chang, Rong N. Chang, Ernesto Damiani, Schahram Dustdar, Jordi Marco, Munindar Singh, Ernest Teniente, Robert Ward, Zhongjie Wang, Fatos Xhafa, Jia Zhang
PublisherIEEE
Pages239-248
Number of pages10
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Conference on Services Computing -
Duration: 10 Jul 202216 Jul 2022

Conference

Conference2022 IEEE International Conference on Services Computing
Abbreviated titleSCC 2022
Period10/07/2216/07/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • edge intelligence
  • voice activation
  • trustworthiness
  • bias
  • fairness
  • security
  • privacy

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