Perspectives from Practice: Algorithmic Decision-Making in Public Employment Services
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Perspectives from Practice : Algorithmic Decision-Making in Public Employment Services. / Flügge, Asbjørn Ammitzbøll.
CSCW 2021 - Conference Companion Publication of the 2021 Computer Supported Cooperative Work and Social Computing. Association for Computing Machinery, 2021. s. 253-255.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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TY - GEN
T1 - Perspectives from Practice
T2 - 24th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2021
AU - Flügge, Asbjørn Ammitzbøll
N1 - Publisher Copyright: © 2021 ACM.
PY - 2021
Y1 - 2021
N2 - Algorithms are increasingly being implemented into core welfare areas as Public Employment Services. These data-driven technologies are implemented with the ambition to support caseworkers' decision-making capabilities, by profiling unemployed individual's risk of long-term unemployment. The research outlined in this paper investigates how we can study opaque technologies as algorithms from the perspective of the users (caseworkers) and those categorized (unemployed individuals) by these systems. This is done by combining established methods within Computer-Supported Cooperative Work, including ethnographic fieldwork and Participatory Design methods. I present preliminary results focused on caseworker's perception of the value of AI in job placement, and find documentation plays a central role in collaboration in casework. With this research, I am to contribute to a deeper understanding of how the organization of work is impacted by data-driven technologies like AI and explore ways to include the voice of unemployed individuals in the development of digital public services.
AB - Algorithms are increasingly being implemented into core welfare areas as Public Employment Services. These data-driven technologies are implemented with the ambition to support caseworkers' decision-making capabilities, by profiling unemployed individual's risk of long-term unemployment. The research outlined in this paper investigates how we can study opaque technologies as algorithms from the perspective of the users (caseworkers) and those categorized (unemployed individuals) by these systems. This is done by combining established methods within Computer-Supported Cooperative Work, including ethnographic fieldwork and Participatory Design methods. I present preliminary results focused on caseworker's perception of the value of AI in job placement, and find documentation plays a central role in collaboration in casework. With this research, I am to contribute to a deeper understanding of how the organization of work is impacted by data-driven technologies like AI and explore ways to include the voice of unemployed individuals in the development of digital public services.
KW - Algorithmic decision-making
KW - Casework
KW - Participatory Design
KW - Public Services
KW - Transparency
UR - http://www.scopus.com/inward/record.url?scp=85118543606&partnerID=8YFLogxK
U2 - 10.1145/3462204.3481787
DO - 10.1145/3462204.3481787
M3 - Article in proceedings
AN - SCOPUS:85118543606
SP - 253
EP - 255
BT - CSCW 2021 - Conference Companion Publication of the 2021 Computer Supported Cooperative Work and Social Computing
PB - Association for Computing Machinery
Y2 - 23 October 2021 through 27 October 2021
ER -
ID: 285245331