Trust is a dynamic process that involves initiating and building trust, responding to violations of trust (failures) and trying to re-build (repair) trust. Yet, it is relatively unknown how humans and AI agents interact in such dynamic situations. The present interdisciplinary research program engages concepts and methods inspired by behavioural game theory, cognitive science, microeconomics, and cultural psychology to understand and improve the dynamic trust relationships between humans and AI, focusing on AI employed in financial advising and trading. Aim is to generate principles for developing A.I. that can be trustworthy and can also repair trust in a culturally sensitive way.
