Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services

W. Toussaint; Aaron Yi Ding

doi:10.1109/SCC55611.2022.00043

Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services

Information and Communication Technology

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

41 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 language	English
Title of host publication	Proceedings - 2022 IEEE International Conference on Services Computing, SCC 2022
Editors	Claudio 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
Publisher	IEEE
Pages	239-248
Number of pages	10
DOIs	https://doi.org/10.1109/SCC55611.2022.00043
Publication status	Published - 2022
Event	2022 IEEE International Conference on Services Computing - Duration: 10 Jul 2022 → 16 Jul 2022

Conference

Conference	2022 IEEE International Conference on Services Computing
Abbreviated title	SCC 2022
Period	10/07/22 → 16/07/22

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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10.1109/SCC55611.2022.00043

Towards_Trustworthy_Edge_Intelligence_Insights_from_Voice_Activated_ServicesFinal published version, 1.27 MB

Cite this

Toussaint, W., & Ding, A. Y. (2022). Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services. In C. A. Ardagna, H. Bian, C. K. Chang, R. N. Chang, E. Damiani, S. Dustdar, J. Marco, M. Singh, E. Teniente, R. Ward, Z. Wang, F. Xhafa, & J. Zhang (Eds.), Proceedings - 2022 IEEE International Conference on Services Computing, SCC 2022 (pp. 239-248). IEEE. https://doi.org/10.1109/SCC55611.2022.00043

Toussaint, W. ; Ding, Aaron Yi. / Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services. Proceedings - 2022 IEEE International Conference on Services Computing, SCC 2022. editor / Claudio 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. IEEE, 2022. pp. 239-248

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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.",

keywords = "edge intelligence, voice activation, trustworthiness, bias, fairness, security, privacy",

author = "W. Toussaint and Ding, {Aaron Yi}",

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.; 2022 IEEE International Conference on Services Computing, SCC 2022 ; Conference date: 10-07-2022 Through 16-07-2022",

year = "2022",

doi = "10.1109/SCC55611.2022.00043",

language = "English",

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editor = "Ardagna, {Claudio Agostino} and Hongyi Bian and Chang, {Carl K.} and Chang, {Rong N.} and Ernesto Damiani and Schahram Dustdar and Jordi Marco and Munindar Singh and Ernest Teniente and Robert Ward and Zhongjie Wang and Fatos Xhafa and Jia Zhang",

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Toussaint, W & Ding, AY 2022, Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services. in CA Ardagna, H Bian, CK Chang, RN Chang, E Damiani, S Dustdar, J Marco, M Singh, E Teniente, R Ward, Z Wang, F Xhafa & J Zhang (eds), Proceedings - 2022 IEEE International Conference on Services Computing, SCC 2022. IEEE, pp. 239-248, 2022 IEEE International Conference on Services Computing, 10/07/22. https://doi.org/10.1109/SCC55611.2022.00043

Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services. / Toussaint, W.; Ding, Aaron Yi.
Proceedings - 2022 IEEE International Conference on Services Computing, SCC 2022. ed. / Claudio 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. IEEE, 2022. p. 239-248.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services

AU - Toussaint, W.

AU - Ding, Aaron Yi

N1 - 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.

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - edge intelligence

KW - voice activation

KW - trustworthiness

KW - bias

KW - fairness

KW - security

KW - privacy

UR - http://www.scopus.com/inward/record.url?scp=85138058985&partnerID=8YFLogxK

U2 - 10.1109/SCC55611.2022.00043

DO - 10.1109/SCC55611.2022.00043

M3 - Conference contribution

SP - 239

EP - 248

BT - Proceedings - 2022 IEEE International Conference on Services Computing, SCC 2022

A2 - Ardagna, Claudio Agostino

A2 - Bian, Hongyi

A2 - Chang, Carl K.

A2 - Chang, Rong N.

A2 - Damiani, Ernesto

A2 - Dustdar, Schahram

A2 - Marco, Jordi

A2 - Singh, Munindar

A2 - Teniente, Ernest

A2 - Ward, Robert

A2 - Wang, Zhongjie

A2 - Xhafa, Fatos

A2 - Zhang, Jia

PB - IEEE

T2 - 2022 IEEE International Conference on Services Computing

Y2 - 10 July 2022 through 16 July 2022

ER -

Toussaint W , Ding AY. Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services. In Ardagna CA, Bian H, Chang CK, Chang RN, Damiani E, Dustdar S, Marco J, Singh M, Teniente E, Ward R, Wang Z, Xhafa F, Zhang J, editors, Proceedings - 2022 IEEE International Conference on Services Computing, SCC 2022. IEEE. 2022. p. 239-248 doi: 10.1109/SCC55611.2022.00043

Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services

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