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What is Predictive Policing

Intersections Between Rights and Technology
Software capable of establishing ex-ante , on a probabilistic basis, the places where a crime is most likely to be perpetrated ( hotspot indicators ) or individuals who might commit it ( crime linking tools ).
Published in Chapter:
The Impact of Artificial Intelligence Systems in Criminal Law: An Integral and Integrated Development Perspective
Massimo Gangi (International Telematic University Uninettuno, Italy)
Copyright: © 2024 |Pages: 23
DOI: 10.4018/979-8-3693-1127-1.ch005
Abstract
The purpose of this chapter is to attempt to provide a proposal for the possible development of artificial intelligence systems (AIs) in the field of criminal law, compatible with an anthropocentric orientation. An integral and holistic conception of such devices, involving four main dimensions: subjective, objective-finalistic, relational, and social. The same, harmoniously realized with the functions performed by them, widely illustrated by the author, represent an indispensable tool in the resolution of the fragile balances, currently existing and difficult to resolve, in the “human-machine” relationship with particular reference to the field of criminal disciplines. Electronic persons, as new legal subjectivities, to which functions increasingly close to “human” ones and specularly related rights, will be attributed. A process of social and legal digitization that the writer proposes to manage also through the creation of transparent and intelligible AIs, a pervasive and deep digital culture and a higher quality of data entered and used by them.
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More Results
Big Data and Innovation in the Delivery of Public Services: The Case of Predictive Policing in Kent
A technique for anticipating where certain kind of crimes are most likely to happen and informing crime prevention.
Full Text Chapter Download: US $37.50 Add to Cart
The Interaction Between Offensive and Hate Speech on Twitter and Relevant Social Events in Spain
Predictive policing allows the analysis of past data to predict behaviors or events that may occur in the future with an associated probability.
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