Sentencing Disparity and Artificial Intelligence.
The idea of using artificial intelligence as a support system in the sentencing process has attracted increasing attention. For instance, it has been suggested that machine learning algorithms may help in curbing problems concerning inter-judge sentencing disparity. The purpose of the present articl...
| Published in: | Journal of Value Inquiry Vol. 57; no. 3; pp. 447 - 463 |
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| Format: | Article |
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Springer Nature
Sep2023
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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=169781262&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 169781262 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00225363 OJ8 jtl: Journal of Value Inquiry issn: 00225363 maglogo: N pubinfo: dt: Sep2023 vid: 57 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 169781262 10.1007/s10790-021-09835-9 ppf: 447 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P size: 595KB tig: atl: Sentencing Disparity and Artificial Intelligence. aug: au: Ryberg, Jesper affil: Roskilde University, 4000, Roskilde, Denmark su: Artificial intelligence Machine learning sug: subj: Artificial intelligence Machine learning keyword: Disparity Proportionality Sentencing ab: The idea of using artificial intelligence as a support system in the sentencing process has attracted increasing attention. For instance, it has been suggested that machine learning algorithms may help in curbing problems concerning inter-judge sentencing disparity. The purpose of the present article is to examine the merits of this possibility. It is argued that, insofar as the unfairness of sentencing disparity is held to reflect a retributivist view of proportionality, it is not necessarily the case that increasing inter-judge uniformity in sentencing is desirable. More generally, it is shown that the idea of introducing machine learning algorithms, that produce sentencing predictions on the ground of a dataset that is built of previous sentencing decisions, faces serious problems if there exists a discrepancy between actual sentencing practice and the sentences that are ideally desirable. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Journal of Value Inquiry is a copyright of Springer, 2023. All Rights Reserved. item: Journal of Value Inquiry holder: Springer Nature dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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