Using experimental game theory to transit human values to ethical AI
  Knowing the reflection of game theory and ethics, we develop a mathematical
representation to bridge the gap between the concepts in moral philosophy
(e.g., Kantian and Utilitarian) and AI ethics industry technology standard
(e.g., IEEE P7000 standard series for Ethical AI). As an application, we
demonstrate how human value can be obtained from the experimental game theory
(e.g., trust game experiment) so as to build an ethical AI. Moreover, an
approach to test the ethics (rightness or wrongness) of a given AI algorithm by
using an iterated Prisoner's Dilemma Game experiment is discussed as an
example. Compared with existing mathematical frameworks and testing method on
AI ethics technology, the advantages of the proposed approach are analyzed.
