TY - GEN
T1 - Better supporting workers in ML workplaces
AU - Clarke, Michael F.
AU - Gonzales, Joseph
AU - Randall, David
AU - Ludwig, Thomas
AU - Harper, Richard
AU - Ikeya, Nozomi
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery. All rights reserved.
PY - 2019/11/9
Y1 - 2019/11/9
N2 - 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.
AB - 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.
KW - CSCW
KW - HCI
KW - Machine learning
UR - http://www.scopus.com/inward/record.url?scp=85076103001&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85076103001&partnerID=8YFLogxK
U2 - 10.1145/3311957.3359429
DO - 10.1145/3311957.3359429
M3 - Conference contribution
AN - SCOPUS:85076103001
T3 - Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
SP - 443
EP - 448
BT - CSCW 2019 Companion - Conference Companion Publication of the 2019 Computer Supported Cooperative Work and Social Computing
PB - Association for Computing Machinery
T2 - 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2019
Y2 - 9 November 2019 through 13 November 2019
ER -