RT Article
T1 Algorithmic justice: algorithms and big data in criminal justice settings
JF European journal of criminology
VO 18
IS 5
SP 623
OP 642
A1 Završnik, Aleš
LA English
YR 2021
UL https://krimdok.uni-tuebingen.de/Record/1777537819
AB The article focuses on big data, algorithmic analytics and machine learning in criminal justice settings, where mathematics is offering a new language for understanding and responding to crime. It shows how these new tools are blurring contemporary regulatory boundaries, undercutting the safeguards built into regulatory regimes, and abolishing subjectivity and case-specific narratives. After presenting the context for ‘algorithmic justice’ and existing research, the article shows how specific uses of big data and algorithms change knowledge production regarding crime. It then examines how a specific understanding of crime and acting upon such knowledge violates established criminal procedure rules. It concludes with a discussion of the socio-political context of algorithmic justice.
K1 Algorithm
K1 Bias
K1 Criminal Justice
K1 machine learning
K1 Sentencing
DO 10.1177/1477370819876762