An Argumentative Dialogue System for COVID-19 Vaccine Information

Bettina Fazzinga, Andrea Galassi, Paolo Torroni

Abstract: Dialogue systems are widely used in AI to support timely and interactive communication with users. We propose a general-purpose dialogue system architecture that leverages computational argumentation to perform reasoning and provide consistent and explainable answers. We illustrate the system using a COVID-19 vaccine information case study.