CBR driven interactive explainable AI.

Wijekoon, Anjana; Wiratunga, Nirmalie; Martin, Kyle; Corsar, David; Nkisi-Orji, Ikechukwu; Palihawadana, Chamath; Bridge, Derek; Pradeep, Preeja; Diaz Agudo, Belen; Caro-Martínez, Marta

Abstract

Explainable AI (XAI) can greatly enhance user trust and satisfaction in AI-assisted decision-making processes. Numerous explanation techniques (explainers) exist in the literature, and recent findings suggest that addressing multiple user needs requires employing a combination of these explainers. We refer to such combinations as explanation strategies. This paper introduces iSee - Intelligent Sharing of Explanation Experience, an interactive platform that facilitates the reuse of explanation strategies and promotes best practices in XAI by employing the Case-based Reasoning (CBR) paradigm. iSee uses an ontology-guided approach to effectively capture explanation requirements, while a behaviour tree-driven conversational chatbot captures user experiences of interacting with the explanations and provides feedback. In a case study, we illustrate the iSee CBR system capabilities by formalising a realworld radiograph fracture detection system and demonstrating how each interactive tools facilitate the CBR processes.

Citation

WIJEKOON, A., WIRATUNGA, N., MARTIN, K., CORSAR, D., NKISI-ORJI, I., PALIHAWADANA, C., BRIDGE, D., PRADEEP, P., AGUDO, B.D. and CARO-MARTÍNEZ, M. 2023. CBR driven interactive explainable AI. In MASSIE, S. and CHAKRABORTI, S. (eds.) 2023. Case-based reasoning research and development: proceedings of the 31st International conference on case-based reasoning 2023, (ICCBR 2023), 17-20 July 2023, Aberdeen, UK. Lecture notes in computer science (LNCS), 14141. Cham: Springer [online], pages169-184. Available from: https://doi.org/10.1007/978-3-031-40177-0_11

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 31st International conference on case-based reasoning 2023 (ICCBR 2023): CBR in a data-driven world
• Start Date: Jul 17, 2023
• End Date: Jul 20, 2023
• Acceptance Date: Jun 16, 2023
• Online Publication Date: Jul 30, 2023
• Publication Date: Sep 30, 2023
• Deposit Date: Jul 4, 2023
• Publicly Available Date: Jul 31, 2024
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Pages: 169-184
• Series Title: Lecture notes in computer science (LNCS)
• Series Number: 14141
• Series ISSN: 0302-9743; 1611-3349
• Book Title: Case-based reasoning research and development: proceedings of the 31st International conference on case-based reasoning 2023, (ICCBR 2023), 17-20 July 2023, Aberdeen, UK
• ISBN: 9783031401763
• DOI: https://doi.org/10.1007/978-3-031-40177-0_11
• Keywords: Interactive XAI; Ontology-based CBR; Conversational AI
• Public URL: https://rgu-repository.worktribe.com/output/1976835