A Tripartite Theory of Trustworthiness for Autonomous Systems
Yingxu Wang, Svetlana N. Yanushkevich, Ming Hou, Konstantinos N. Plataniotis, Mark Coates, Marina L. Gavrilova, Yaoping Hu, Fakhri Karray, HENRY K. LEUNG, Arash Mohammadi, Sam Kwong, Edward W. Tunstel, Ljiljana Trajković, Imre J. Rudas, Janusz Kacprzyk · 2020
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.