Just Algorithms

Using Science to Reduce Incarceration and Inform a Jurisprudence of Risk

Dados Bibliográficos

ID19945271
AutoresChristopher Slobogin (0000-0002-3077-1549, Vanderbilt University, autor correspondente)
Ano2021
Data de publicação2021-06-30
Open AccessSim
TipoBOOK
PeriódicoJust Algorithms (SOURCE_BOOK)
EditoraCambridge University Press (PUBLISHER • US)
DOI10.1017/9781108988025
OpenAlexW4250710359
Open LibraryOL35572460M
ISBN9781108988025
IdiomaEN
Citações recebidas9

Statistically-derived algorithms, adopted by many jurisdictions in an effort to identify the risk of reoffending posed by criminal defendants, have been lambasted as racist, de-humanizing, and antithetical to the foundational tenets of criminal justice. Just Algorithms argues that these attacks are misguided and that, properly regulated, risk assessment tools can be a crucial means of safely and humanely dismantling our massive jail and prison complex. The book explains how risk algorithms work, the types of legal questions they should answer, and the criteria for judging whether they do so in a way that minimizes bias and respects human dignity. It also shows how risk assessment instruments can provide leverage for curtailing draconian prison sentences and the plea-bargaining system that produces them. The ultimate goal of Christopher Slobogin's insightful analysis is to develop the principles that should govern, in both the pretrial and sentencing settings, the criminal justice system's consideration of risk

Algorithm · Criminal justice · Criminal law · Criminal procedure · Criminology · Dignity · Law and economics · Leverage (statistics) · Plea · Political science · Prison · Sociology · Artificial Intelligence · Computer Science · Criminal Justice and Corrections Analysis · Ethics and Social Impacts of AI · Law · Psychology