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

Abstrak	A 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 Kunci	proportionality, sentencing, judicial discretion, arbitrariness, algorithms
ISSN	0731-129X (Print) 1937-5948 (Online)
Tahun Terbit	2018
No. Induk	eja-21-0112
Entri Sumber Data	Taylor and Francis - Criminology and Law
Entri Utama Nama orang	Chiao, Vincent
Volume, Nomor, Tahun dan Hlm.	vol. 37, no. 3, p. 238-261
Barcode	eja-21-0112
Subjek Topik
Judul Utama	Predicting Proportionality: The Case for Algorithmic Sentencing
Kode Bahasa	eng
Sumber Koleksi	Perpustakaan Nasional