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Predicting Proportionality: The Case for Algorithmic Sentencing

No. Panggil : eja-21-0112
Nama Orang : Chiao, Vincent
Penerbitan : [Place of publication not identified] : Taylor and Francis - Criminology and Law, 2018
AbstrakA basic principle in sentencing offenders is proportionality. However, proportionality judgments are often left to the discretion of the judge, raising familiar concerns of arbitrariness and bias. This paper considers the case for systematizing judgments of proportionality in sentencing by means of an algorithm. The aim of such an algorithm would be to predict what a judge in that jurisdiction would regard as a proportionate sentence in a particular case. A predictive algorithm of this kind would not necessarily undermine justice in individual cases, is consistent with a particularistic account of moral judgment, and is attractive even in the face of uncertainty as to the legitimate purposes of punishment.
Entri Tambahan Nama Orang
001 Hak Akses (open/membership)membership
Kata Kunciproportionality, sentencing, judicial discretion, arbitrariness, algorithms
ISSN0731-129X (Print) 1937-5948 (Online)
Tahun Terbit2018
No. Indukeja-21-0112
Entri Sumber DataTaylor and Francis - Criminology and Law
Entri Utama Nama orangChiao, Vincent
Volume, Nomor, Tahun dan Hlm.vol. 37, no. 3, p. 238-261
Barcodeeja-21-0112
Subjek Topik
Judul UtamaPredicting Proportionality: The Case for Algorithmic Sentencing
Kode Bahasaeng
Sumber KoleksiPerpustakaan Nasional
No. Panggil No. Barkod Ketersediaan
eja-21-0112 eja-21-0112 TERSEDIA
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