@inproceedings{ff683aaac97d4bd5bb64efecc899dc1c,
title = "Impacts of the Use of Machine Learning on Work Design",
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) 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.",
keywords = "artificial intelligence, automation, coordination, machine learning, work design",
author = "Kevin Crowston and Francesco Bolici",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 8th International Conference on Human-Agent Interaction, HAI 2020 ; Conference date: 10-11-2020 Through 13-11-2020",
year = "2020",
month = nov,
day = "10",
doi = "10.1145/3406499.3415070",
language = "English (US)",
series = "HAI 2020 - Proceedings of the 8th International Conference on Human-Agent Interaction",
publisher = "Association for Computing Machinery, Inc",
pages = "163--170",
booktitle = "HAI 2020 - Proceedings of the 8th International Conference on Human-Agent Interaction",
}