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Impacts of Machine Learning on Work

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Title:Impacts of Machine Learning on Work
Authors:Crowston, Kevin
Bolici, Francesco
Keywords:Digital Innovation
Organizational Systems and Technology
artificial intelligence, automation, machine learning, work design
Date Issued:08 Jan 2019
Abstract:The increased pervasiveness of technological advancements in automation makes it urgent to address the question of how work is changing in response. Focusing on applications of machine learning (ML) that automate information tasks, we present a simple framework for identifying the impacts of an automated system on a task. From an analysis of popular press articles about ML, we develop 3 patterns for the use of ML—decision support, blended decision making and complete automation—with implications for the kinds of tasks and systems. We further consider how automation of one task might have implications for other interdependent tasks. Our main conclusion is that designers have a range of options for systems and that automation of tasks is not the same as automation of work.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/60031
ISBN:978-0-9981331-2-6
DOI:10.24251/HICSS.2019.719
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Digital Innovation


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