An Argumentative Dialogue System for COVID-19 Vaccine Information
This work addresses the need for reliable and transparent AI communication tools, particularly for public health information, but it appears incremental as it applies an existing method to a new domain.
The authors tackled the problem of providing consistent and explainable answers in dialogue systems by proposing a general-purpose architecture that uses computational argumentation, and they demonstrated it with a COVID-19 vaccine information case study.
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.