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

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › 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, SMC 2020
Publisher	IEEE
Pages	3375-3380
Number of pages	6
ISBN (Electronic)	9781728185262
ISBN (Print)	9781728185279
DOIs	https://doi.org/10.1109/SMC42975.2020.9283219
Publication status	Published - 11 Oct 2020
Externally published	Yes
Event	2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020 - Toronto, Canada Duration: 11 Oct 2020 → 14 Oct 2020

Conference

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

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

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

Access to Document

10.1109/SMC42975.2020.9283219

Cite this

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, SMC 2020 (pp. 3375-3380). Article 9283219 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",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020 ; Conference date: 11-10-2020 Through 14-10-2020",

year = "2020",

month = oct,

day = "11",

doi = "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, IJ & KACPRZYK, J 2020, A Tripartite Theory of Trustworthiness for Autonomous Systems. in 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020., 9283219, 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

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

KW - theory of trustworthiness

UR - https://www.scopus.com/pages/publications/85098883323

U2 - 10.1109/SMC42975.2020.9283219

DO - 10.1109/SMC42975.2020.9283219

M3 - Conference paper (refereed)

SN - 9781728185279

SP - 3375

EP - 3380

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

PB - IEEE

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

Y2 - 11 October 2020 through 14 October 2020

ER -

A Tripartite Theory of Trustworthiness for Autonomous Systems

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Keywords

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