Article (Scientific journals)
Applying the Presumption of Innocence to Policing with AI
BLOUNT, Kelly
2021In International Review of Penal Law, 92 (1)
Peer reviewed
 

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Keywords :
artificial intelligence; criminal law; presumption of innocence
Abstract :
[en] This paper argues that predictive policing, which relies upon former arrest records, hinders the future application of the presumption of innocence. This is established by positing that predictive policing is comparable to traditional criminal investigations in substance and scope. Police records generally do not clarify whether former charges result in dismissal or acquittal, or conversely, conviction. Therefore, police as state actors may unlawfully act in reliance on an individual’s former arrest record, despite a favourable disposition. Accordingly, it is argued that the presumption of innocence as a fair trial right may be effectively nullified by predictive policing.
Disciplines :
Criminal law & procedure
Author, co-author :
BLOUNT, Kelly ;  University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Department of Law (DL)
External co-authors :
no
Language :
English
Title :
Applying the Presumption of Innocence to Policing with AI
Publication date :
11 November 2021
Journal title :
International Review of Penal Law
Special issue title :
Artificial Intelligence, Big Data and Automated Decision-Making in Criminal Justice
Volume :
92
Issue :
1
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 11 November 2021

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