Argument Schemes and Dialogue for Explainable Planning
This work addresses the problem of building trust in AI systems for users by enabling them to understand the reasoning behind planning solutions, which is an incremental improvement in explainable AI.
This paper proposes an argument scheme-based approach to generate explanations for AI planning systems. It introduces novel argument schemes to explain plans and their elements, along with critical questions for interactive dialogue to provide further information.
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.