A Diachronic Perspective on User Trust in AI under Uncertainty
Shehzaad Dhuliawala,
Vilém Zouhar,
Mennatallah El-Assady
et al.
Abstract:In a human-AI collaboration, users build a mental model of the AI system based on its reliability and how it presents its decision, e.g. its presentation of system confidence and an explanation of the output. Modern NLP systems are often uncalibrated, resulting in confidently incorrect predictions that undermine user trust. In order to build trustworthy AI, we must understand how user trust is developed and how it can be regained after potential trust-eroding events. We study the evolution of user trust in res… Show more
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