Human-Machine Hybrid Decision Making with Applications in Auditing Hooshangi, Sara Sibdari, Soheil 2021-12-24T17:17:31Z 2021-12-24T17:17:31Z 2022-01-04
dc.description.abstract The decision making process in a variety of organizations faces substantial changes, largely as a result of advances in information technology and artificial intelligence (AI). A considerable number of decisions that were traditionally made by humans, are now made by machines. Consequently, many jobs that were held by experts in some fields are now occupied by data scientists who can build AI algorithms. In this paper, we address this change in work environments and suggest an innovative process for hybrid decision making between humans and machines. We focus on the auditing profession, but our method can be used in other human-intensive and critical fields such as healthcare, financial services public sectors, and humanitarian organizations.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2022.026
dc.identifier.isbn 978-0-9981331-5-7
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.subject Applications of Human-AI Collaboration: Insights from Theory and Practice
dc.subject artificial intelligence
dc.subject auditing
dc.subject decision making
dc.subject human-machine
dc.title Human-Machine Hybrid Decision Making with Applications in Auditing
dc.type.dcmi text
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