Social exclusion in personnel selection – The risk of discriminating AI biases
Arlinghaus CS, Maier GW (2023)
In: Proceedings of Interdisciplinary Approaches in Human-Agent Interaction (Inter.HAI ’23). New York, NY: ACM.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Einrichtung
Abstract / Bemerkung
Work plays a central role in the life of adults as it opens up ac- cess to a wide range of valuable resources (e.g., financial security, time structure, social contacts). Thereby work contributes to the social inclusion of people in most societies. Therefore, personnel selection processes carry a high level of social responsibility. Nowadays, artificial intelligence (AI) is widely used in human resources (HR), but the unreflected use of AI in recruitment can lead to the exclusion of vulnerable groups. AIs are often trained with biased data which unconsciously results in discriminatory hiring practices. The aim of this workshop contribution is threefold. First, we distinguish between the generic term "social exclusion" and its subtype "discrimination". Second, we raise awareness for discrimination in AI-based personnel selection. Third, we aim to foster interdisciplinary discussions about the responsible use of AI-based selection processes to prevent the severe consequences of social exclusion (e.g., helplessness, depression, suicide).
Erscheinungsjahr
2023
Titel des Konferenzbandes
Proceedings of Interdisciplinary Approaches in Human-Agent Interaction (Inter.HAI ’23)
Urheberrecht / Lizenzen
Konferenz
Interdisciplinary Approaches in Human-Agent Interaction (Inter.HAI ’23)
Konferenzort
Gothenburg, Sweden
Konferenzdatum
2023-12-04 – 2023-12-04
eISBN
979-8-4007-0824-4
Page URI
https://pub.uni-bielefeld.de/record/2984822
Zitieren
Arlinghaus CS, Maier GW. Social exclusion in personnel selection – The risk of discriminating AI biases. In: Proceedings of Interdisciplinary Approaches in Human-Agent Interaction (Inter.HAI ’23). New York, NY: ACM; 2023.
Arlinghaus, C. S., & Maier, G. W. (2023). Social exclusion in personnel selection – The risk of discriminating AI biases. Proceedings of Interdisciplinary Approaches in Human-Agent Interaction (Inter.HAI ’23) New York, NY: ACM. https://doi.org/10.5281/zenodo.10275834
Arlinghaus, Clarissa Sabrina, and Maier, Günter W. 2023. “Social exclusion in personnel selection – The risk of discriminating AI biases”. In Proceedings of Interdisciplinary Approaches in Human-Agent Interaction (Inter.HAI ’23). New York, NY: ACM.
Arlinghaus, C. S., and Maier, G. W. (2023). “Social exclusion in personnel selection – The risk of discriminating AI biases” in Proceedings of Interdisciplinary Approaches in Human-Agent Interaction (Inter.HAI ’23) (New York, NY: ACM).
Arlinghaus, C.S., & Maier, G.W., 2023. Social exclusion in personnel selection – The risk of discriminating AI biases. In Proceedings of Interdisciplinary Approaches in Human-Agent Interaction (Inter.HAI ’23). New York, NY: ACM.
C.S. Arlinghaus and G.W. Maier, “Social exclusion in personnel selection – The risk of discriminating AI biases”, Proceedings of Interdisciplinary Approaches in Human-Agent Interaction (Inter.HAI ’23), New York, NY: ACM, 2023.
Arlinghaus, C.S., Maier, G.W.: Social exclusion in personnel selection – The risk of discriminating AI biases. Proceedings of Interdisciplinary Approaches in Human-Agent Interaction (Inter.HAI ’23). ACM, New York, NY (2023).
Arlinghaus, Clarissa Sabrina, and Maier, Günter W. “Social exclusion in personnel selection – The risk of discriminating AI biases”. Proceedings of Interdisciplinary Approaches in Human-Agent Interaction (Inter.HAI ’23). New York, NY: ACM, 2023.
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