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Title: Exploring Human-Centered AI in Healthcare: Diagnosis, Explainability, and Trust
Authors: Ontika, Nazmun Nisat
Syed, Hussain Abid
Saßmannshausen, Sheree May
Harper, Richard HR
Chen, Yunan
Park, Sun Young
Grisot, Miria
Chow, Astrid
Blaumer, Nils
Pinatti de Carvalho, Aparecido Fabiano
Pipek, Volkmar
Issue Date: 2022
Publisher: European Society for Socially Embedded Technologies (EUSSET)
metadata.dc.relation.ispartof: Proceedings of 20th European Conference on Computer-Supported Cooperative Work
Series/Report no.: Reports of the European Society for Socially Embedded Technologies: vol. 6, no. 2
Abstract: AI 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.
metadata.dc.identifier.doi: 10.48340/ecscw2022_ws06
ISSN: 2510-2591
metadata.mci.conference.sessiontitle: Workshop
metadata.mci.conference.location: Coimbra, Portugal 27 June - 1 Juli 2022
Appears in Collections:ECSCW 2022 Panel, Workshops and Masterclasses

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