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The Future of Human-AI Collaboration: A Taxonomy of Design Knowledge for Hybrid Intelligence Systems

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Title:The Future of Human-AI Collaboration: A Taxonomy of Design Knowledge for Hybrid Intelligence Systems
Authors:Dellermann, Dominik
Calma, Adrian
Lipusch, Nikolaus
Weber, Thorsten
Weigel, Sascha
show 1 moreEbel, Philipp
show less
Keywords:Collaboration with Automation: Machines as Teammates
Collaboration Systems and Technologies
machine learning, artificial intelligence, crowdsourcing, taxonomy
Date Issued:08 Jan 2019
Abstract:Recent technological advances, especially in the field of machine learning, provide astonishing progress on the road towards artificial general intelligence. However, tasks in current real-world business applications cannot yet be solved by machines alone. We, therefore, identify the need for developing socio-technological ensembles of humans and machines. Such systems possess the ability to accomplish complex goals by combining human and artificial intelligence to collectively achieve superior results and continuously improve by learning from each other. Thus, the need for structured design knowledge for those systems arises. Following a taxonomy development method, this article provides three main contributions: First, we present a structured overview of interdisciplinary research on the role of humans in the machine learning pipeline. Second, we envision hybrid intelligence systems and conceptualize the relevant dimensions for system design for the first time. Finally, we offer useful guidance for system developers during the implementation of such applications.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/59468
ISBN:978-0-9981331-2-6
DOI:10.24251/HICSS.2019.034
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Collaboration with Automation: Machines as Teammates


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