Building personalised XAI experiences through iSee: a case-based reasoning-driven platform

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dc.contributor.authorCaro-Martínez, Martaen
dc.contributor.authorLiret, Anneen
dc.contributor.authorDíaz-Agudo, Belénen
dc.contributor.authorRecio-García, Juan A.en
dc.contributor.authorDarias, Jesus M.en
dc.contributor.authorWiratunga, Nirmalieen
dc.contributor.authorWijekoon, Anjanaen
dc.contributor.authorMartin, Kyleen
dc.contributor.authorNkisi-Orji, Ikechukwuen
dc.contributor.authorCorsar, Daviden
dc.contributor.authorPalihawadana, Chamathen
dc.contributor.authorPirie, Craigen
dc.contributor.authorBridge, Derek G.en
dc.contributor.authorPradeep, Preejaen
dc.contributor.authorFleisch, Brunoen
dc.contributor.funderEuropean Commissionen
dc.contributor.funderEngineering and Physical Sciences Research Councilen
dc.contributor.funderIrish Research Councilen
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2025-10-31T12:32:45Z
dc.date.available2025-10-31T12:32:45Z
dc.date.issued2024-10-19en
dc.description.abstractNowadays, eXplainable Artificial Intelligence (XAI) is well-known as an important field in Computer Science due to the necessity of understanding the increasing complexity of Artificial Intelligence (AI) systems or algorithms. This is the reason why we can find a wide variety of explanation techniques (explainers) in the literature, on top of some XAI libraries. The challenge faced by XAI designers here is deciding what explainers are the most suitable for each scenario, taking into account the AI model, task to explain, user preferences, needs and knowledge, and overall, fitting into the explanation requirements. With the aim of addressing this problem, the iSee project was conceived to provide XAI design users with supporting tools to build their own explanation experiences. As a result, we have developed iSee, a Case-Based Reasoning-driven platform that allows users to create personalised explanation experiences. With the iSee platform, users add their explanation experience requirements, and get the most suitable XAI strategies to explain their own situation, taking advantage of XAI strategies previously used with success in similar context. The iSee platform is composed of different tools and modules: the ontology, the cockpit, the explainer library, the Explanation Experiences Editor (iSeeE3), the chatbot, and the analytics dashboard. This paper introduces these tools as a demo and tutorial for current and future users and for the XAI community.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationCaro-Martínez, M., Liret, A., Díaz-Agudo, B., Recio-Garcia, J.A., Darias, J., Wiratunga, N., Wijekoon, A., Martin, K., Nkisi-Orji, I., Corsar, D., Palihawadana, C., Pirie, C., Bridge, D., Pradeep, P. and Fleisch, B. (2024) 'Building personalised XAI experiences through iSee: a case-based reasoning-driven platform', in Longo, L., Liu, W. and Montavon, G. (eds.) xAI-2024: LB/D/DC: joint proceedings of the xAI 2024 late-breaking work, demos and doctoral consortium, co-located with the 2nd World conference on eXplainable artificial intelligence (xAI 2024), 17-19 July 2024, Valletta, Malta. Aachen: CEUR Workshop Proceedings, 3793. Aachen: CEUR-WS [online], pp. 313-320. Available from: https://ceur-ws.org/Vol-3793/paper_40.pdfen
dc.identifier.endpage320en
dc.identifier.issn1613-0073en
dc.identifier.journaltitleCEUR Workshop Proceedingsen
dc.identifier.startpage313en
dc.identifier.urihttps://hdl.handle.net/10468/18137
dc.identifier.volume3793en
dc.language.isoenen
dc.publisherCEUR-WSen
dc.relation.projectinfo:eu-repo/grantAgreement/UKRI/EPSRC/EP/V061755/1/GB/iSee: Intelligent Sharing of Explanation Experience by Users for Users/en
dc.relation.urihttps://rgu-repository.worktribe.com/output/2578334en
dc.relation.urihttps://ceur-ws.org/Vol-3793/en
dc.rights© 2024, the Authors. Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectCase-based reasoningen
dc.subjectPersonalised explanation experiencesen
dc.subjectExplainer libraryen
dc.subjectEvaluation cockpiten
dc.subjectExplanation experiences editoren
dc.subjectXAI chatboten
dc.subjectXAI ontologyen
dc.titleBuilding personalised XAI experiences through iSee: a case-based reasoning-driven platformen
dc.typeConference itemen
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