Pradeep, Preeja;
Caro-Martinez, Marta;
Wijekoon, Anjana;
(2025)
Empowering Explainable Artificial Intelligence Through Case-Based Reasoning: A Comprehensive Exploration.
IEEE Transactions on Knowledge and Data Engineering
pp. 1-20.
10.1109/TKDE.2025.3609825.
(In press).
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Abstract
Artificial intelligence (AI) advancements have significantly broadened its application across various sectors, simultaneously elevating concerns regarding the transparency and understandability of AI-driven decisions. Addressing these concerns, this paper embarks on an exploratory journey into Case-Based Reasoning (CBR) and Explainable Artificial Intelligence (XAI), critically examining their convergence and the potential this synergy holds for demystifying the decision-making processes of AI systems. We employ the concept of Explainable CBR (XCBR) system that leverages CBR to acquire case-based explanations or generate explanations using CBR methodologies to enhance AI decision explainability. Though the literature has few surveys on XCBR, recognizing its potential necessitates a detailed exploration of the principles for developing effective XCBR systems. We present a cycle-aligned perspective that examines how explainability functions can be embedded throughout the classical CBR phases: Retrieve, Reuse, Revise, and Retain. Drawing from a comprehensive literature review, we propose a set of six functional goals that reflect key explainability needs. These goals are mapped to six thematic categories, forming the basis of a structured XCBR taxonomy. The discussion extends to the broader challenges and prospects facing the CBR-XAI arena, setting the stage for future research directions. This paper offers design guidance and conceptual grounding for future XCBR research and system development.
| Type: | Article |
|---|---|
| Title: | Empowering Explainable Artificial Intelligence Through Case-Based Reasoning: A Comprehensive Exploration |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/TKDE.2025.3609825 |
| Publisher version: | https://doi.org/10.1109/tkde.2025.3609825 |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/. |
| Keywords: | Case-Based Reasoning, Explainable Artificial Intelligence, Human-understandable Explanations, Trustworthy AI, XCBR |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10214905 |
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