Argument Schemes and Dialogue for Explainable Planning

TL;DR

This paper introduces an argument scheme-based method for explainable AI planning, enabling interactive dialogues that help users understand and trust AI-generated plans through explanations and critical questions.

Contribution

It proposes novel argument schemes and a dialogue system for interactive, dialectical explanations in AI planning, enhancing transparency and user understanding.

Findings

Developed argument schemes for explaining plans

Created a dialogue system for interactive explanations

Facilitated user understanding of AI planning outputs

Abstract

Artificial Intelligence (AI) is being increasingly deployed in practical applications. However, there is a major concern whether AI systems will be trusted by humans. In order to establish trust in AI systems, there is a need for users to understand the reasoning behind their solutions. Therefore, systems should be able to explain and justify their output. In this paper, we propose an argument scheme-based approach to provide explanations in the domain of AI planning. We present novel argument schemes to create arguments that explain a plan and its key elements; and a set of critical questions that allow interaction between the arguments and enable the user to obtain further information regarding the key elements of the plan. Furthermore, we present a novel dialogue system using the argument schemes and critical questions for providing interactive dialectical explanations.