Inclusive and Explainable AI Systems: A Systematic Literature Review

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dc.contributor.authorGirard, Amelie
dc.contributor.authorZowghi, Didar
dc.contributor.authorBano, Muneera
dc.contributor.authorRiziou, Marian-Andrei
dc.date.accessioned2023-12-26T18:36:58Z
dc.date.available2023-12-26T18:36:58Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2024.160
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.otherfdf5cb1b-45dc-48de-9798-23c553fff90a
dc.identifier.urihttps://hdl.handle.net/10125/106537
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectExplainable Artificial Intelligence (XAI)
dc.subjectexplainable ai
dc.subjecthuman-centered
dc.subjectinclusion
dc.subjecttransparency
dc.titleInclusive and Explainable AI Systems: A Systematic Literature Review
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractExplainable AI (XAI) plays a crucial role in enhancing transparency and providing rational explanations to support users of AI systems. Inclusive AI actively seeks to engage and represent individuals with diverse attributes who are affected by and contribute to the AI ecosystem. Both inclusion and XAI advocate for the active involvement of the users and stakeholders during the entire AI systems lifecycle. However, the relationship between XAI and Inclusive AI has not been explored. In this paper, We present the results of a systematic literature review with the objective to explore this relationship in the recent AI reserach literature. We were able to identify 18 research articles on the topic. Our analysis focused on exploring approaches to: (1) the humans attributes and perspectives, (2) preferred explanation methods, and (3) Human-AI interaction. Based on our findings, we identified potential future XAI research directions and proposed strategies for practitioners involved in the design and development of inclusive AI systems.
dcterms.extent10 pages
prism.startingpage1297

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