A Tripartite Theory of Trustworthiness for Autonomous Systems

Yingxu Wang; Svetlana Yanushkevich; Ming Hou; Konstantinos Plataniotis; Mark Coates; Marina Gavrilova; Yaoping Hu; Fakhri Karray; Henry Leung; Arash Mohammadi; Sam Kwong; Edward Tunstel; Ljiljana Trajkovic; Imre J. Rudas; Janusz Kacprzyk

doi:10.1109/SMC42975.2020.9283219

A Tripartite Theory of Trustworthiness for Autonomous Systems

Yingxu Wang, Svetlana Yanushkevich, Ming Hou, Konstantinos Plataniotis, Mark Coates, Marina Gavrilova, Yaoping Hu, Fakhri Karray, Henry Leung, Arash Mohammadi, Sam Kwong, Edward Tunstel, Ljiljana Trajkovic, Imre J. Rudas, Janusz Kacprzyk

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

12 Citations (Scopus)

Abstract

It is recognized that system trustworthiness is a hyperstructure embodied by the structural, behavioral, and system dimensions with a set of coherent attributes. We explore a theoretical framework of tripartite trustworthiness that can be applied to real-world autonomous systems. We present a formal study of the essences and mathematical models of system trustworthiness and their quantitative measurements in the contexts of autonomous and mission-critical intelligent systems where humans and machines interact in a hybrid environment.

Original language	English
Title of host publication	2020 IEEE International Conference on Systems, Man, and Cybernetics
Subtitle of host publication	Final Program and Conference Digest
Publisher	IEEE
Pages	3375-3380
ISBN (Electronic)	978-1-7281-8526-2
DOIs	https://doi.org/10.1109/SMC42975.2020.9283219
Publication status	Published - 11 Oct 2020
Event	2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) - Virtual, Toronto, Canada Duration: 11 Oct 2020 → 14 Oct 2020

Publication series

Name	IEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume	2020-October
ISSN (Print)	2168-2216
ISSN (Electronic)	2168-2232

Conference

Conference	2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020)
Place	Canada
City	Toronto
Period	11/10/20 → 14/10/20

Research Keywords

Autonomous systems
cognitive foundations
formal measurements
mathematical models
mission-critical systems
theory of trustworthiness

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10.1109/SMC42975.2020.9283219

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Wang, Y., Yanushkevich, S., Hou, M., Plataniotis, K., Coates, M., Gavrilova, M., Hu, Y., Karray, F., Leung, H., Mohammadi, A., Kwong, S., Tunstel, E., Trajkovic, L., Rudas, I. J., & Kacprzyk, J. (2020). A Tripartite Theory of Trustworthiness for Autonomous Systems. In 2020 IEEE International Conference on Systems, Man, and Cybernetics: Final Program and Conference Digest (pp. 3375-3380). Article 9283219 (IEEE Transactions on Systems, Man, and Cybernetics: Systems; Vol. 2020-October). IEEE. https://doi.org/10.1109/SMC42975.2020.9283219

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title = "A Tripartite Theory of Trustworthiness for Autonomous Systems",

abstract = "It is recognized that system trustworthiness is a hyperstructure embodied by the structural, behavioral, and system dimensions with a set of coherent attributes. We explore a theoretical framework of tripartite trustworthiness that can be applied to real-world autonomous systems. We present a formal study of the essences and mathematical models of system trustworthiness and their quantitative measurements in the contexts of autonomous and mission-critical intelligent systems where humans and machines interact in a hybrid environment.",

keywords = "Autonomous systems, cognitive foundations, formal measurements, mathematical models, mission-critical systems, theory of trustworthiness",

author = "Yingxu Wang and Svetlana Yanushkevich and Ming Hou and Konstantinos Plataniotis and Mark Coates and Marina Gavrilova and Yaoping Hu and Fakhri Karray and Henry Leung and Arash Mohammadi and Sam Kwong and Edward Tunstel and Ljiljana Trajkovic and Rudas, {Imre J.} and Janusz Kacprzyk",

year = "2020",

month = oct,

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doi = "10.1109/SMC42975.2020.9283219",

language = "English",

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pages = "3375--3380",

booktitle = "2020 IEEE International Conference on Systems, Man, and Cybernetics",

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note = "2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) ; Conference date: 11-10-2020 Through 14-10-2020",

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Wang, Y, Yanushkevich, S, Hou, M, Plataniotis, K, Coates, M, Gavrilova, M, Hu, Y, Karray, F, Leung, H, Mohammadi, A, Kwong, S, Tunstel, E, Trajkovic, L, Rudas, IJ & Kacprzyk, J 2020, A Tripartite Theory of Trustworthiness for Autonomous Systems. in 2020 IEEE International Conference on Systems, Man, and Cybernetics: Final Program and Conference Digest., 9283219, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 2020-October, IEEE, pp. 3375-3380, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), Toronto, Canada, 11/10/20. https://doi.org/10.1109/SMC42975.2020.9283219

A Tripartite Theory of Trustworthiness for Autonomous Systems. / Wang, Yingxu; Yanushkevich, Svetlana; Hou, Ming et al.
2020 IEEE International Conference on Systems, Man, and Cybernetics: Final Program and Conference Digest. IEEE, 2020. p. 3375-3380 9283219 (IEEE Transactions on Systems, Man, and Cybernetics: Systems; Vol. 2020-October).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - A Tripartite Theory of Trustworthiness for Autonomous Systems

AU - Wang, Yingxu

AU - Yanushkevich, Svetlana

AU - Hou, Ming

AU - Plataniotis, Konstantinos

AU - Coates, Mark

AU - Gavrilova, Marina

AU - Hu, Yaoping

AU - Karray, Fakhri

AU - Leung, Henry

AU - Mohammadi, Arash

AU - Kwong, Sam

AU - Tunstel, Edward

AU - Trajkovic, Ljiljana

AU - Rudas, Imre J.

AU - Kacprzyk, Janusz

PY - 2020/10/11

Y1 - 2020/10/11

N2 - It is recognized that system trustworthiness is a hyperstructure embodied by the structural, behavioral, and system dimensions with a set of coherent attributes. We explore a theoretical framework of tripartite trustworthiness that can be applied to real-world autonomous systems. We present a formal study of the essences and mathematical models of system trustworthiness and their quantitative measurements in the contexts of autonomous and mission-critical intelligent systems where humans and machines interact in a hybrid environment.

AB - It is recognized that system trustworthiness is a hyperstructure embodied by the structural, behavioral, and system dimensions with a set of coherent attributes. We explore a theoretical framework of tripartite trustworthiness that can be applied to real-world autonomous systems. We present a formal study of the essences and mathematical models of system trustworthiness and their quantitative measurements in the contexts of autonomous and mission-critical intelligent systems where humans and machines interact in a hybrid environment.

KW - Autonomous systems

KW - cognitive foundations

KW - formal measurements

KW - mathematical models

KW - mission-critical systems

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M3 - RGC 32 - Refereed conference paper (with host publication)

T3 - IEEE Transactions on Systems, Man, and Cybernetics: Systems

SP - 3375

EP - 3380

BT - 2020 IEEE International Conference on Systems, Man, and Cybernetics

PB - IEEE

T2 - 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020)

Y2 - 11 October 2020 through 14 October 2020

ER -

Wang Y, Yanushkevich S, Hou M, Plataniotis K, Coates M, Gavrilova M et al. A Tripartite Theory of Trustworthiness for Autonomous Systems. In 2020 IEEE International Conference on Systems, Man, and Cybernetics: Final Program and Conference Digest. IEEE. 2020. p. 3375-3380. 9283219. (IEEE Transactions on Systems, Man, and Cybernetics: Systems). doi: 10.1109/SMC42975.2020.9283219

A Tripartite Theory of Trustworthiness for Autonomous Systems

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Research Keywords

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