TY - Generic T1 - Impacts of the Use of Machine Learning on Work Design T2 - 8th International Conference on Human-Agent Interaction Y1 - 2020 A1 - Kevin Crowston A1 - Bolici, Francesco KW - artificial intelligence KW - automation KW - Coordination KW - machine learning KW - work design AB -

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.

JF - 8th International Conference on Human-Agent Interaction PB - ACM CY - Virtual Event, NSW, Australia SN - 978-1-4503-8054-6/20/11 ER -