Managing AI Bias: Executive Perspectives

dc.contributor.author Abbu, Haroon
dc.contributor.author Mugge, Paul
dc.contributor.author Gudergan, Gerhard
dc.date.accessioned 2021-12-24T17:34:05Z
dc.date.available 2021-12-24T17:34:05Z
dc.date.issued 2022-01-04
dc.description.abstract Artificial 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.extent 3 pages
dc.identifier.doi 10.24251/HICSS.2022.232
dc.identifier.isbn 978-0-9981331-5-7
dc.identifier.uri http://hdl.handle.net/10125/79564
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Practitioner Research Insights: Applications of Science and Technology to Real-World Innovations
dc.subject ai
dc.subject bias
dc.subject digital leadership
dc.subject digital transformation
dc.subject trust
dc.title Managing AI Bias: Executive Perspectives
dc.type.dcmi text
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