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https://doi.org/10.21256/zhaw-23113| Publication type: | Conference paper |
| Type of review: | Peer review (publication) |
| Title: | A systematic approach to group fairness in automated decision making |
| Authors: | Hertweck, Corinna Heitz, Christoph |
| et. al: | No |
| DOI: | 10.1109/SDS51136.2021.00008 10.21256/zhaw-23113 |
| Proceedings: | Proceedings of the 8th SDS |
| Page(s): | 1 |
| Pages to: | 6 |
| Conference details: | 8th Swiss Conference on Data Science, Lucerne, Switzerland, 9 June 2021 |
| Issue Date: | 7-Jul-2021 |
| Publisher / Ed. Institution: | IEEE |
| ISBN: | 978-1-6654-3874-2 |
| Language: | English |
| Subjects: | Algorithmic fairness; Group fairness; Statistical parity; Independence; Separation; Sufficiency |
| Subject (DDC): | 006: Special computer methods 170: Ethics |
| Abstract: | While the field of algorithmic fairness has brought forth many ways to measure and improve the fairness of machine learning models, these findings are still not widely used in practice. We suspect that one reason for this is that the field of algorithmic fairness came up with a lot of definitions of fairness, which are difficult to navigate. The goal of this paper is to provide data scientists with an accessible introduction to group fairness metrics and to give some insight into the philosophical reasoning for caring about these metrics. We will do this by considering in which sense socio-demographic groups are compared for making a statement on fairness. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/23113 |
| Fulltext version: | Accepted version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Data Analysis and Process Design (IDP) |
| Published as part of the ZHAW project: | Socially acceptable AI and fairness trade-offs in predictive analytics |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2021_Hertweck-Heitz_Group-fairness-automated-decision-making.pdf | Accepted Version | 107.87 kB | Adobe PDF |  View/Open |
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Hertweck, C., & Heitz, C. (2021). A systematic approach to group fairness in automated decision making [Conference paper]. Proceedings of the 8th SDS, 1–6. https://doi.org/10.1109/SDS51136.2021.00008
Hertweck, C. and Heitz, C. (2021) ‘A systematic approach to group fairness in automated decision making’, in Proceedings of the 8th SDS. IEEE, pp. 1–6. Available at: https://doi.org/10.1109/SDS51136.2021.00008.
C. Hertweck and C. Heitz, “A systematic approach to group fairness in automated decision making,” in Proceedings of the 8th SDS, Jul. 2021, pp. 1–6. doi: 10.1109/SDS51136.2021.00008.
HERTWECK, Corinna und Christoph HEITZ, 2021. A systematic approach to group fairness in automated decision making. In: Proceedings of the 8th SDS. Conference paper. IEEE. 7 Juli 2021. S. 1–6. ISBN 978-1-6654-3874-2
Hertweck, Corinna, and Christoph Heitz. 2021. “A Systematic Approach to Group Fairness in Automated Decision Making.” Conference paper. In Proceedings of the 8th SDS, 1–6. IEEE. https://doi.org/10.1109/SDS51136.2021.00008.
Hertweck, Corinna, and Christoph Heitz. “A Systematic Approach to Group Fairness in Automated Decision Making.” Proceedings of the 8th SDS, IEEE, 2021, pp. 1–6, https://doi.org/10.1109/SDS51136.2021.00008.
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