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Predictive policing: utopia or dystopia? On attitudes towards the use of big data algorithms for law enforcement
Author(s) -
Fernando Miró Llinares
Publication year - 2020
Publication title -
revista de internet, derecho y política
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.153
H-Index - 2
ISSN - 1699-8154
DOI - 10.7238/idp.v0i30.3223
Subject(s) - dystopia , optimism , pessimism , objectivity (philosophy) , predictive analytics , law enforcement , big data , law , sociology , algorithm , computer science , psychology , social psychology , data science , political science , epistemology , philosophy , operating system
The use of predictive AI tools to improve decision-making in relation to crime prevention and investigation is a reality. They are being implemented almost before we fully understand how they work, while we make relevant legal decisions that may determine the progress of the technology, and long before we can predict their full impact. This paper addresses the attitudes towards this technological revolution applied to criminal justice, focusing in particular on its use by police. The first section summarises and describes the techniques and technologies that make up predictive policing. Subsequently, the main part of the study analyses the attitudes with which this technology has been received. These range from the optimism of those who defend its immediate implementation as a way to improve police objectivity and efficiency, to the pessimism of those who see its use as strengthening a dystopia of state control and surveillance. Two apparent extremes that correspond to the transition from optimism to technological pessimism of the twentieth century. The article concludes with a defence of a realistic, critical and informed view of the use of these predictive algorithms. A vision that, on the one hand, accepts that there are no neutral technologies, yet does not fall into fatalism and technophobia; and, on the other hand, places the human being and the legitimate police function at the centre of the algorithmic equation while redefining its objectives based on the scientific evidence applied to each individual technology.

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