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Dokumenttyp:
Konferenzbeitrag
Autor(en):
Unruh, Charlotte Franziska; Haid, Charlotte; Fottner, Johannes; Büthe, Tim
Nicht-TUM Koautoren:
nein
Kooperation:
national
Titel:
Human Autonomy in Algorithmic Management
Seitenangaben Beitrag:
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
Kongress- / Buchtitel:
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society
Kongress / Zusatzinformationen:
Oxford
Datum der Konferenz:
1-3 August
Verlag / Institution:
ACM
Publikationsdatum:
26.07.2022
Jahr:
2022
Monat:
Aug
Volltext / DOI:
doi:10.1145/3514094.3534168
Key publication:
Ja
Peer reviewed:
Nein
Interdisziplinarität:
Ja
Leitbild:
;
Technology:
Nein
Ethics und Sustainability:
Ja
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