Better supporting workers in ML workplaces

Clarke, M.F. and Gonzales, J. and Randall, D. and Ludwig, T. and Harper, R. and Ikeya, N. (2019) Better supporting workers in ML workplaces. In: CSCW '19 Conference Companion Publication of the 2019 on Computer Supported Cooperative Work and Social Computing. ACM, New York, pp. 443-448. ISBN 9781450366922

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Abstract

This workshop is aimed at bringing together a multidisciplinary group to discuss Machine Learning and its application in the workplace as a practical, everyday work matter. It's our hope this is a step toward helping us design better technology and user experiences to support the accomplishment of that work, while paying attention to workplace context. Despite advancement and investment in Machine Learning (ML) business applications, understanding workers in these work contexts have received little attention. As this category experiences dramatic growth, it's important to better understand the role that workers play, both individually and collaboratively, in a workplace where the output of prediction and machine learning is becoming pervasive. There is a closing window of opportunity to investigate this topic as it proceeds toward ubiquity. CSCW and HCI offer concepts, tools and methodologies to better understand and build for this future.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
© ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CSCW '19 Conference Companion Publication of the 2019 on Computer Supported Cooperative Work and Social Computing, http://doi.acm.org/10.1145/3311957.3359429
ID Code:
139709
Deposited By:
Deposited On:
06 Feb 2020 13:35
Refereed?:
Yes
Published?:
Published
Last Modified:
27 Sep 2020 06:54