Distributive justice of resource allocation through artificial intelligence
Hellwig P, Mann S, Maier GW (2024)
In: Proceedings of the DataNinja sAIOnARA 2024 Conference. Kuhl U (Ed); Bielefeld: BieColl.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Herausgeber*in
Kuhl, Ulrike
Einrichtung
Abstract / Bemerkung
Artificial intelligence will take over leadership functions such as rewarding employee performance. It will therefore make decisions about employee outcomes and most likely allocate different resources to employees. Resource Theory of Social Exchange distinguishes six resource classes. The theory postulates that the value of some resources depend on the identity of the provider of the resource and on the relationship with the provider. This raises the question of whether certain resources, such as the resource affiliation, have a value when they are allocated by artificial intelligence. This contribution calls for studies that investigate the value of different resources allocated by artificial intelligence in leadership functions.
Stichworte
distributive justice;
artificial intelligence;
Resource Theory of Social Exchange
Erscheinungsjahr
2024
Titel des Konferenzbandes
Proceedings of the DataNinja sAIOnARA 2024 Conference
Konferenz
DataNinja sAIOnARA 2024 Conference
Konferenzort
Bielefeld
Konferenzdatum
2024-06-25 – 2024-06-27
Page URI
https://pub.uni-bielefeld.de/record/2993513
Zitieren
Hellwig P, Mann S, Maier GW. Distributive justice of resource allocation through artificial intelligence . In: Kuhl U, ed. Proceedings of the DataNinja sAIOnARA 2024 Conference. Bielefeld: BieColl; 2024.
Hellwig, P., Mann, S., & Maier, G. W. (2024). Distributive justice of resource allocation through artificial intelligence . In U. Kuhl (Ed.), Proceedings of the DataNinja sAIOnARA 2024 Conference Bielefeld: BieColl. https://doi.org/10.11576/dataninja-1177
Hellwig, Paul, Mann, Sophia, and Maier, Günter W. 2024. “Distributive justice of resource allocation through artificial intelligence ”. In Proceedings of the DataNinja sAIOnARA 2024 Conference, ed. Ulrike Kuhl. Bielefeld: BieColl.
Hellwig, P., Mann, S., and Maier, G. W. (2024). “Distributive justice of resource allocation through artificial intelligence ” in Proceedings of the DataNinja sAIOnARA 2024 Conference, Kuhl, U. ed. (Bielefeld: BieColl).
Hellwig, P., Mann, S., & Maier, G.W., 2024. Distributive justice of resource allocation through artificial intelligence . In U. Kuhl, ed. Proceedings of the DataNinja sAIOnARA 2024 Conference. Bielefeld: BieColl.
P. Hellwig, S. Mann, and G.W. Maier, “Distributive justice of resource allocation through artificial intelligence ”, Proceedings of the DataNinja sAIOnARA 2024 Conference, U. Kuhl, ed., Bielefeld: BieColl, 2024.
Hellwig, P., Mann, S., Maier, G.W.: Distributive justice of resource allocation through artificial intelligence . In: Kuhl, U. (ed.) Proceedings of the DataNinja sAIOnARA 2024 Conference. BieColl, Bielefeld (2024).
Hellwig, Paul, Mann, Sophia, and Maier, Günter W. “Distributive justice of resource allocation through artificial intelligence ”. Proceedings of the DataNinja sAIOnARA 2024 Conference. Ed. Ulrike Kuhl. Bielefeld: BieColl, 2024.
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Access Level
Open Access