Impacts of the Use of Machine Learning on Work Design

Publication Type:

Conference Proceedings


8th International Conference on Human-Agent Interaction, ACM, Virtual Event, NSW, Australia (2020)




artificial intelligence, automation, Coordination, machine learning, work design


<p>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) to automate information tasks, we draw on a simple framework for identifying the impacts of an automated system on a task that suggests 3 patterns for the use of ML—decision support, blended decision making and complete automation. In this paper, we extend this framework by considering how automation of one task might have implications for interdependent tasks and how automation applies to coordination mechanisms.</p>

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