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Title:

Human Autonomy in Algorithmic Management

Document type:
Konferenzbeitrag
Author(s):
Unruh, Charlotte Franziska; Haid, Charlotte; Fottner, Johannes; Büthe, Tim
Non-TUM Co-author(s):
nein
Cooperation:
national
Pages contribution:
10
Abstract:
Algorithmic management tools support or replace managerial decision making in areas such as task allocation, shift planning, or team formation. These tools can have a significant impact on the lives of workers. In this paper, we contribute to the emerging literature on the ethics of algorithmic management by developing a conceptual framework for autonomy at work. Further, we use this framework to discuss risks and opportunities for autonomy in the context of work decision algorithms in Industry...     »
Intellectual Contribution:
Discipline-based Research
Book / Congress title:
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society
Congress (additional information):
Oxford
Date of congress:
1-3 August
Publisher:
ACM
Date of publication:
26.07.2022
Year:
2022
Month:
Aug
Fulltext / DOI:
doi:10.1145/3514094.3534168
Key publication:
Ja
Peer reviewed:
Nein
Technology:
Nein
Interdisciplinarity:
Ja
Mission statement:
;
Ethics and Sustainability:
Ja
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