Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-23113
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hertweck, Corinna | - |
dc.contributor.author | Heitz, Christoph | - |
dc.date.accessioned | 2021-09-13T08:41:03Z | - |
dc.date.available | 2021-09-13T08:41:03Z | - |
dc.date.issued | 2021-07-07 | - |
dc.identifier.isbn | 978-1-6654-3874-2 | de_CH |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/23113 | - |
dc.description.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. | de_CH |
dc.language.iso | en | de_CH |
dc.publisher | IEEE | de_CH |
dc.rights | Licence according to publishing contract | de_CH |
dc.subject | Algorithmic fairness | de_CH |
dc.subject | Group fairness | de_CH |
dc.subject | Statistical parity | de_CH |
dc.subject | Independence | de_CH |
dc.subject | Separation | de_CH |
dc.subject | Sufficiency | de_CH |
dc.subject.ddc | 006: Spezielle Computerverfahren | de_CH |
dc.subject.ddc | 170: Ethik | de_CH |
dc.title | A systematic approach to group fairness in automated decision making | de_CH |
dc.type | Konferenz: Paper | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | School of Engineering | de_CH |
zhaw.organisationalunit | Institut für Datenanalyse und Prozessdesign (IDP) | de_CH |
dc.identifier.doi | 10.1109/SDS51136.2021.00008 | de_CH |
dc.identifier.doi | 10.21256/zhaw-23113 | - |
zhaw.conference.details | 8th Swiss Conference on Data Science, Lucerne, Switzerland, 9 June 2021 | de_CH |
zhaw.funding.eu | No | de_CH |
zhaw.originated.zhaw | Yes | de_CH |
zhaw.pages.end | 6 | de_CH |
zhaw.pages.start | 1 | de_CH |
zhaw.publication.status | acceptedVersion | de_CH |
zhaw.publication.review | Peer review (Publikation) | de_CH |
zhaw.title.proceedings | Proceedings of the 8th SDS | de_CH |
zhaw.funding.snf | 187473 | de_CH |
zhaw.funding.zhaw | Socially acceptable AI and fairness trade-offs in predictive analytics | de_CH |
zhaw.author.additional | No | de_CH |
zhaw.display.portrait | Yes | de_CH |
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 |
Show simple item record
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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