Exploring Human-Centered AI in Healthcare: Diagnosis, Explainability, and Trust

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dc.contributor.authorOntika, Nazmun Nisat
dc.contributor.authorSyed, Hussain Abid
dc.contributor.authorSaßmannshausen, Sheree May
dc.contributor.authorHarper, Richard HR
dc.contributor.authorChen, Yunan
dc.contributor.authorPark, Sun Young
dc.contributor.authorGrisot, Miria
dc.contributor.authorChow, Astrid
dc.contributor.authorBlaumer, Nils
dc.contributor.authorPinatti de Carvalho, Aparecido Fabiano
dc.contributor.authorPipek, Volkmar
dc.date.accessioned2022-06-22T04:34:51Z
dc.date.available2022-06-22T04:34:51Z
dc.date.issued2022
dc.description.abstractAI has become an increasingly active area of research over the past few years in healthcare. Nevertheless, not all research advancements are applicable in the field as there are only a few AI solutions that are actually deployed in medical infrastructures or actively used by medical practitioners. This can be due to various reasons as the lack of a human-centered approach for the or non-incorporation of humans in the loop. In this workshop, we aim to address the questions relevant to human-centered AI solutions associated with healthcare by exploring different human-centered approaches for designing AI systems and using image-based datasets for medical diagnosis. We aim to bring together researchers and practitioners in AI, human-computer interaction, healthcare, etc., and expedite the discussions about making usable systems that will be more comprehensible and dependable. Findings from our workshop may serve as ‘terminus a quo’ to significantly improve AI solutions for medical diagnosis.en
dc.identifier.doi10.48340/ecscw2022_ws06
dc.identifier.pissn2510-2591
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4409
dc.language.isoen
dc.publisherEuropean Society for Socially Embedded Technologies (EUSSET)
dc.relation.ispartofProceedings of 20th European Conference on Computer-Supported Cooperative Work
dc.relation.ispartofseriesReports of the European Society for Socially Embedded Technologies: vol. 6, no. 2
dc.titleExploring Human-Centered AI in Healthcare: Diagnosis, Explainability, and Trusten
dc.typeText/Conference Paper
gi.conference.date27 June - 1 Juli 2022
gi.conference.locationCoimbra, Portugal
gi.conference.sessiontitleWorkshop
mci.conference.reviewfull

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