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 ProceedingsConference paper (refereed)Researchpeer-review

10 Citations (Scopus)


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 languageEnglish
Title of host publicationConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Publication statusPublished - 11 Oct 2020
Externally publishedYes


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


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