Visualizing Complex Data Decisions: Design Study for Ethical Factors in AI Clinical Decision Support Systems

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dc.contributor.authorSurodina, Svitlanaen_US
dc.contributor.authorVolkova, Dariaen_US
dc.contributor.authorAbdul-Rahman, Alfieen_US
dc.contributor.authorBorgo, Ritaen_US
dc.contributor.editorHunter, Daviden_US
dc.contributor.editorSlingsby, Aidanen_US
dc.date.accessioned2024-09-09T05:45:14Z
dc.date.available2024-09-09T05:45:14Z
dc.date.issued2024
dc.description.abstractDespite the proliferation of Artificial Intelligence (AI) technologies, their uptake in clinical settings has been lacking progress due to complexities of sociotechnical factors and intricacies of decision-making. Fairness and bias of predictive models, ethics and quality of training data, and corresponding compliance requirements become especially pressing while remaining fuzzy and implicit for various stakeholders who make the decisions. We present learnings and future directions from a design study with domain experts and propose a novel approach to encoding and collaborative reasoning on complex requirements for AI-Empowered Clinical Decision Support System (AI-CDSS) design based on Knowledge Graph (KG) representation. The insights will be useful to the community of visualization researchers who work on ethical AI-CDSS design and conduct design studies with clinical partners.en_US
dc.description.sectionheadersInformation Visualisation
dc.description.seriesinformationComputer Graphics and Visual Computing (CGVC)
dc.identifier.doi10.2312/cgvc.20241227
dc.identifier.isbn978-3-03868-249-3
dc.identifier.pages5 pages
dc.identifier.urihttps://doi.org/10.2312/cgvc.20241227
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/cgvc20241227
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Visualization design and evaluation methods; Software creation and management → Requirements analysis; Applied computing → Decision analysis; Health care information systems
dc.subjectHuman centered computing → Visualization design and evaluation methods
dc.subjectSoftware creation and management → Requirements analysis
dc.subjectApplied computing → Decision analysis
dc.subjectHealth care information systems
dc.titleVisualizing Complex Data Decisions: Design Study for Ethical Factors in AI Clinical Decision Support Systemsen_US
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