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dc.contributor.authorLee, Michelle Seng Ah
dc.contributor.authorFloridi, Luciano
dc.date.accessioned2021-02-16T16:19:54Z
dc.date.available2021-02-16T16:19:54Z
dc.date.issued2020-06-09
dc.date.submitted2020-03-23
dc.identifier.issn0924-6495
dc.identifier.others11023-020-09529-4
dc.identifier.other9529
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/317757
dc.description.abstractAbstract: To address the rising concern that algorithmic decision-making may reinforce discriminatory biases, researchers have proposed many notions of fairness and corresponding mathematical formalizations. Each of these notions is often presented as a one-size-fits-all, absolute condition; however, in reality, the practical and ethical trade-offs are unavoidable and more complex. We introduce a new approach that considers fairness—not as a binary, absolute mathematical condition—but rather, as a relational notion in comparison to alternative decisionmaking processes. Using US mortgage lending as an example use case, we discuss the ethical foundations of each definition of fairness and demonstrate that our proposed methodology more closely captures the ethical trade-offs of the decision-maker, as well as forcing a more explicit representation of which values and objectives are prioritised.
dc.languageen
dc.publisherSpringer Netherlands
dc.rightsAttribution 4.0 International (CC BY 4.0)en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectGeneral Article
dc.subjectAlgorithmic fairness
dc.subjectMortgage discrimination
dc.subjectFairness trade-offs
dc.subjectMachine learning
dc.subjectTechnology ethics
dc.titleAlgorithmic Fairness in Mortgage Lending: from Absolute Conditions to Relational Trade-offs
dc.typeArticle
dc.date.updated2021-02-16T16:19:54Z
prism.endingPage191
prism.issueIdentifier1
prism.publicationNameMinds and Machines
prism.startingPage165
prism.volume31
dc.identifier.doi10.17863/CAM.64871
dcterms.dateAccepted2020-06-05
rioxxterms.versionofrecord10.1007/s11023-020-09529-4
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidLee, Michelle Seng Ah [0000-0001-7725-2503]
dc.contributor.orcidFloridi, Luciano [0000-0002-5444-2280]
dc.identifier.eissn1572-8641


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)