Crowston, Kevin, and Francesco Bolici. “Impacts of Machine Learning on Work”. Proceedings of the 52nd Hawai’i International Conference on System Sciences (HICSS-52), 2019, doi:10.24251/HICSS.2019.719.
Abstract
<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) 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.
Year of Conference
2019
Conference Name
Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52)
Conference Location
Wailea, HI
URL
http://hdl.handle.net/10125/60031
DOI
10.24251/HICSS.2019.719