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02097aam a2200397 i 4500 001 0F4AF3D0177D11EC850ADFAD22ECA4DB 003 SILO 005 20210917010313 008 210524t20212021enk b 001 0 eng 010 $a 2021024628 020 $a 1108984347 020 $a 9781108984348 020 $a 1108833977 020 $a 9781108833974 035 $a (OCoLC)1237344654 040 $a DLC $b eng $e rda $c DLC $d OCLCO $d UKMGB $d OCLCF $d YDX $d SILO 042 $a pcc 043 $a n-us--- 050 00 $a KF9685 $b .S565 2021 100 1 $a Slobogin, Christopher, $d 1951- $e author. 245 10 $a Just algorithms : $b using science to reduce incarceration and inform a jurisprudence of risk / $c Christopher Slobogin, Vanderbilt University Law School. 264 1 $a Cambridge, United Kingdom ; $b Cambridge University Press, $c 2021. 300 $a xiii, 167 pages ; $c 24 cm 504 $a Includes bibliographical references and index. 505 0 $a Rationale : what risk algorithms can do for the criminal justice system -- Fit : why and when data about groups are relevant to individuals -- Validity : figuring out when risk algorithms -- Fairness : avoiding unjust algorithms -- Structure : limiting retributivism and individual prevention -- Moving forward : the need for experimentation. 650 0 $a Sentences (Criminal procedure) $z United States $x Decision making. 650 0 $a Criminal statistics $z United States. 650 0 $a Expert systems (Computer science) $z United States. 650 7 $a Criminal statistics. $2 fast $0 (OCoLC)fst00883500 650 7 $a Expert systems (Computer science) $2 fast $0 (OCoLC)fst00918516 650 7 $a Sentences (Criminal procedure) $x Decision making. $2 fast $0 (OCoLC)fst01112641 651 7 $a United States. $2 fast $0 (OCoLC)fst01204155 776 08 $i Online version: $a Slobogin, Christopher, 1951- $t Just algorithms $d Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2021 $z 9781108988025 $w (DLC) 2021024629 941 $a 1 952 $l OVUX522 $d 20220526015159.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=0F4AF3D0177D11EC850ADFAD22ECA4DBInitiate Another SILO Locator Search