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