Managing AI Bias: Executive Perspectives

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dc.contributor.authorAbbu, Haroon
dc.contributor.authorMugge, Paul
dc.contributor.authorGudergan, Gerhard
dc.date.accessioned2021-12-24T17:34:05Z
dc.date.available2021-12-24T17:34:05Z
dc.date.issued2022-01-04
dc.description.abstractArtificial intelligence (AI) applications are taking the world by storm. Yet increasingly, these solutions are coming under fire as being “biased”. This presentation describes the actions taken by three successful digital leaders to overcome this issue and ensure that the resulting decision information is fair and explainable. Their advice is part of a much larger study we have conducted to understand the actions “digitally mature” organizations take to separate themselves from “digitally developing” companies. The goal of our studies is to help digitally developing organizations―the great majority― catch up.
dc.format.extent3 pages
dc.identifier.doi10.24251/HICSS.2022.232
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.urihttp://hdl.handle.net/10125/79564
dc.language.isoeng
dc.relation.ispartofProceedings of the 55th 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.subjectPractitioner Research Insights: Applications of Science and Technology to Real-World Innovations
dc.subjectai
dc.subjectbias
dc.subjectdigital leadership
dc.subjectdigital transformation
dc.subjecttrust
dc.titleManaging AI Bias: Executive Perspectives
dc.type.dcmitext

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Practitioner Research Insights: Applications of Science and Technology to Real-World Innovations