The Fairness in Algorithmic Fairness.
With the increasing use of algorithms in high-stakes areas such as criminal justice and health has come a significant concern about the fairness of prediction-based decision procedures. In this article I argue that a prominent class of mathematically incompatible performance parity criteria can all...
| Publicado en: | Res Publica (13564765) Vol. 29; no. 2; pp. 265 - 282 |
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| Formato: | Artículo |
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Springer Nature
Jun2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=163852947&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 163852947 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 13564765 NMV jtl: Res Publica (13564765) issn: 13564765 maglogo: N pubinfo: dt: Jun2023 vid: 29 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 163852947 10.1007/s11158-022-09546-3 ppf: 265 ppct: 17 formats: fmt: – @attributes: type: T – @attributes: type: P size: 596KB tig: atl: The Fairness in Algorithmic Fairness. aug: au: Holm, Sune affil: Department of Food and Resource Economics, University of Copenhagen, Rolighedsvej 23, 1958, Frederiksberg C, Denmark su: Fairness Algorithms Artificial intelligence Decision making Ethics Prediction models Broome, John sug: subj: Fairness Algorithms Artificial intelligence Decision making Ethics Prediction models Broome, John keyword: AI Decision-making ab: With the increasing use of algorithms in high-stakes areas such as criminal justice and health has come a significant concern about the fairness of prediction-based decision procedures. In this article I argue that a prominent class of mathematically incompatible performance parity criteria can all be understood as applications of John Broome's account of fairness as the proportional satisfaction of claims. On this interpretation these criteria do not disagree on what it means for an algorithm to be fair. Rather they express different understandings of what grounds a claim to a good being allocated by an algorithmic decision procedure. I then argue that an important implication of the Broomean interpretation is that it strengthens the case for outcome-based criteria. Finally, I consider how a version of the levelling-down objection to performance parity criteria arises within the Broomean account. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Res Publica (13564765) is a copyright of Springer, 2023. All Rights Reserved. item: Res Publica (13564765) holder: Springer Nature dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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