Marta Caro-Martínez
iSee: a case-based reasoning platform for the design of explanation experiences.
Caro-Martínez, Marta; Recio-García, Juan A.; Díaz-Agudo, Belén; Darias, Jesus M.; Wiratunga, Nirmalie; Martin, Kyle; Wijekoon, Anjana; Nkisi-Orji, Ikechukwu; Corsar, David; Pradeep, Preeja; Bridge, Derek; Liret, Anne
Authors
Juan A. Recio-García
Belén Díaz-Agudo
Jesus M. Darias
Professor Nirmalie Wiratunga n.wiratunga@rgu.ac.uk
Associate Dean for Research
Dr Kyle Martin k.martin3@rgu.ac.uk
Lecturer
Anjana Wijekoon
Dr Ikechukwu Nkisi-Orji i.nkisi-orji@rgu.ac.uk
Chancellor's Fellow
Dr David Corsar d.corsar1@rgu.ac.uk
Senior Lecturer
Preeja Pradeep
Derek Bridge
Anne Liret
Abstract
Explainable Artificial Intelligence (XAI) is an emerging field within Artificial Intelligence (AI) that has provided many methods that enable humans to understand and interpret the outcomes of AI systems. However, deciding on the best explanation approach for a given AI problem is currently a challenging decision-making task. This paper presents the iSee project, which aims to address some of the XAI challenges by providing a unifying platform where personalized explanation experiences are generated using Case-Based Reasoning. An explanation experience includes the proposed solution to a particular explainability problem and its corresponding evaluation, provided by the end user. The ultimate goal is to provide an open catalog of explanation experiences that can be transferred to other scenarios where trustworthy AI is required.
Citation
CARO-MARTÍNEZ, M., RECIO-GARCÍA, J.A., DÍAZ-AGUDO, B., DARIAS, J.M., WIRATUNGA, N., MARTIN, K., WIJEKOON, A., NKISI-ORJI, I., CORSAR, D., PRADEEP, P., BRIDGE, D. and LIRET, A. 2024. iSee: a case-based reasoning platform for the design of explanation experiences. Knowledge-based systems [online], 302, article number 112305. Available from: https://doi.org/10.1016/j.knosys.2024.112305
| Journal Article Type | Article |
|---|---|
| Acceptance Date | Jul 31, 2024 |
| Online Publication Date | Aug 8, 2024 |
| Publication Date | Oct 25, 2024 |
| Deposit Date | Aug 9, 2024 |
| Publicly Available Date | Aug 9, 2024 |
| Journal | Knowledge-based systems |
| Print ISSN | 0950-7051 |
| Electronic ISSN | 1872-7409 |
| Publisher | Elsevier |
| Peer Reviewed | Peer Reviewed |
| Volume | 302 |
| Article Number | 112305 |
| DOI | https://doi.org/10.1016/j.knosys.2024.112305 |
| Keywords | eXplainable artificial intelligence; Trustworthy AI; Case-based reasoning |
| Public URL | https://rgu-repository.worktribe.com/output/2428836 |
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CARO-MARTINEZ 2024 iSee a case based reasoning (VOR)
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Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
© 2024 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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