Towards explainable AI planning as a service

Cashmore, Michael and Collins, Anna and Krarup, Benjamin and Krivic, Senka and Magazzeni, Daniele and Smith, David (2019) Towards explainable AI planning as a service. In: 2nd ICAPS Workshop on Explainable Planning, 2019-07-12 - 2019-07-12.

[thumbnail of Cashmore-etal-XAIP2019-Towards-explainable-AI-planning-as-a-service]
Preview
 Text. Filename: Cashmore_etal_XAIP2019_Towards_explainable_AI_planning_as_a_service.pdf
Accepted Author Manuscript
Download (593kB)| Preview

Abstract

Explainable AI is an important area of research within which Explainable Planning is an emerging topic. In this paper, we argue that Explainable Planning can be designed as a service -- that is, as a wrapper around an existing planning system that utilises the existing planner to assist in answering contrastive questions. We introduce a prototype framework to facilitate this, along with some examples of how a planner can be used to address certain types of contrastive questions. We discuss the main advantages and limitations of such an approach and we identify open questions for Explainable Planning as a service that identify several possible research directions.

CORE (COnnecting REpositories)