RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions

Authors

  • Valmeekam Karthik Arizona State University
  • Sarath Sreedharan Arizona State University
  • Sailik Sengupta Arizona State University
  • Subbarao Kambhampati Arizona State University

Keywords:

Decision Support Systems, Explainable AI Planning, Automated Planning, AI Planning

Abstract

Automated Planning techniques can be leveraged to build effective decision support systems that assist the human-in-the-loop. Such systems must provide intuitive explanations when the suggestions made by these systems seem inexplicable to the human. In this regard, we consider scenarios where the user questions the system's suggestion by providing alternatives (referred to as foils). In response, we empower existing decision support technologies to engage in an interactive explanatory dialogue with the user and provide contrastive explanations based on user-specified foils to reach a consensus on proposed decisions. To provide contrastive explanations, we adapt existing techniques in Explainable AI Planning (XAIP). Furthermore, we use this dialog to elicit the user's latent preferences and propose three modes of interaction that use these preferences to provide revised plan suggestions. Finally, we showcase a decision support system that provides all these capabilities.

Downloads

Published

2021-05-18

How to Cite

Karthik, V., Sreedharan, S., Sengupta, S., & Kambhampati, S. (2021). RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. Proceedings of the AAAI Conference on Artificial Intelligence, 35(18), 16051-16053. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/18009