Mechanical Jurisprudence and Domain Distortion: How Predictive Algorithms Warp the Law.
The value-ladenness of computer algorithms is typically framed around issues of epistemic risk. In this article, I examine a deeper sense of value-ladenness: algorithmic methods are not only themselves value-laden but also introduce value into how we reason about their domain of application. I call...
| Published in: | Philosophy of Science Vol. 88; no. 5; pp. 1101 - 1113 |
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| Format: | Article |
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Cambridge University Press
Dec2021
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=153950463&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 153950463 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318248 PSC jtl: Philosophy of Science issn: 00318248 maglogo: N pubinfo: dt: Dec2021 vid: 88 iid: 5 pid: 15979 pub: Cambridge University Press artinfo: ui: 153950463 10.1086/715512 ppf: 1101 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P size: 92KB tig: atl: Mechanical Jurisprudence and Domain Distortion: How Predictive Algorithms Warp the Law. aug: au: Pruss, Dasha su: Algorithms Jurisprudence Risk assessment Punishment Maxima & minima sug: subj: Algorithms Jurisprudence Risk assessment Punishment Maxima & minima ab: The value-ladenness of computer algorithms is typically framed around issues of epistemic risk. In this article, I examine a deeper sense of value-ladenness: algorithmic methods are not only themselves value-laden but also introduce value into how we reason about their domain of application. I call this domain distortion. In particular, using insights from jurisprudence, I show that the use of recidivism risk assessment algorithms (1) presupposes legal formalism and (2) blurs the distinction between liability assessment and sentencing, which distorts how the domain of criminal punishment is conceived and provides a distinctive avenue for values to enter the legal process. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Philosophy of Science is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Philosophy of Science holder: Cambridge University Press dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
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