Insights From Insurance for Fair Machine Learning

dc.contributor.author	Williamson, Robert C.
dc.contributor.author	Fröhlich, Christian
dc.date.accessioned	2024-07-05T09:32:53Z
dc.date.available	2024-07-05T09:32:53Z
dc.date.issued	2024-06-05
dc.identifier.isbn	9798400704505
dc.identifier.uri	http://hdl.handle.net/10900/154745
dc.language.iso	en	de_DE
dc.publisher	ACM	de_DE
dc.relation.uri	https://doi.org/10.1145/3630106.3658914	de_DE
dc.subject.ddc	004	de_DE
dc.title	Insights From Insurance for Fair Machine Learning	de_DE
dc.type	Article	de_DE
utue.kommentar.intern	Preprint: https://doi.org/10.48550/arXiv.2306.14624	de_DE
utue.publikation.seiten	407 - 421	de_DE
utue.personen.roh	Williamson, Robert C.
utue.personen.roh	Fröhlich, Christian
dcterms.isPartOf.ZSTitelID	FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency	de_DE