Towards a Future Reallocation of Work between Humans and Machines – Taxonomy of Tasks and Interaction Types in the Context of Machine Learning

Item Type Conference or Workshop Item (Paper)
Abstract

In today’s race for competitive advantages, more and more companies implement innovations in artificial intelligence and machine learning (ML). Although these machines take over tasks that have been executed by humans, they will not make human workforce obsolete. To leverage the potentials of ML, collaboration between humans and machines is necessary. Before collaboration processes can be developed, a classification of tasks in the field of ML is needed. Therefore, we present a taxonomy for the classification of tasks due to their complexity and the type of interaction. To derive insights about typical tasks and task-complexity, we conducted a literature review as well as a focus group workshop. We identified three levels of task-complexity and three types of interactions. Connecting them reveals three generic types of tasks. We provide prescriptive knowledge inherent in the task/interaction-taxonomy.

Authors Traumer, Fabian; Oeste-Reiß, Sarah & Leimeister, Jan Marco
Language English
Keywords Machine Learning, Task, Interaction, Collaboration, Crowdsourcing, Taxonomy
Subjects business studies
information management
other research area
Institute/School IWI - Institute of Information Management
HSG Classification contribution to practical use / society
Date 2017
Event Title International Conference on Information Systems (ICIS)
Event Location Seoul, South Korea
Event Dates 13.12.2017-15.12.2017
Depositing User Mahei Li
Date Deposited 24 Sep 2017 11:29
Last Modified 17 Jan 2018 15:48
URI: https://www.alexandria.unisg.ch/publications/252019

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Traumer, Fabian; Oeste-Reiß, Sarah & Leimeister, Jan Marco: Towards a Future Reallocation of Work between Humans and Machines – Taxonomy of Tasks and Interaction Types in the Context of Machine Learning. 2017. - International Conference on Information Systems (ICIS). - Seoul, South Korea.

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https://www.alexandria.unisg.ch/id/eprint/252019
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