Keeping the Organization in the Loop as a General Concept for Human-Centered AI: The Example of Medical Imaging

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dc.contributor.authorHerrmann, Thomas
dc.contributor.authorPfeiffer, Sabine
dc.date.accessioned2022-12-27T19:17:47Z
dc.date.available2022-12-27T19:17:47Z
dc.date.issued2023-01-03
dc.description.abstractThis study emanates from work on human-centered AI and the claim of “keeping the organiza-tion in the loop”. A previous study suggests a sys-tematic framework of organizational practices in the context of predictive maintenance, and identified four cycles: using AI, customizing AI, original task handling with support of AI, and dealing with con-textual changes. Since we assume that these findings can be generalized for other kinds of applications of Machine Learning (ML), we contrast the manage-ment activities that support the four cycles and their interplay with a widely different domain: the usage of AI for radiology. Our literature analysis reveals a series of overlaps with the existing framework, but also results in the need for extensions, such as holis-tic consideration of workflows or supervision and quality assurance.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2023.644
dc.identifier.isbn978-0-9981331-6-4
dc.identifier.urihttps://hdl.handle.net/10125/103278
dc.language.isoeng
dc.relation.ispartofProceedings of the 56th 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.subjectAI, Organizing, and Management
dc.subjecthuman-centered ai
dc.subjectmanagement
dc.subjectmedical imaging
dc.subjectorganizational practices
dc.subjectradiology
dc.titleKeeping the Organization in the Loop as a General Concept for Human-Centered AI: The Example of Medical Imaging
dc.type.dcmitext
prism.startingpage5272

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