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2021 | OriginalPaper | Buchkapitel

Why Do Law Enforcement Agencies Need AI for Analyzing Big Data?

verfasst von : Aleksandra Pawlicka, Michał Choraś, Marcin Przybyszewski, Laurent Belmon, Rafał Kozik, Konstantinos Demestichas

Erschienen in: Computer Information Systems and Industrial Management

Verlag: Springer International Publishing

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Abstract

The aim of the article is to give the rationale behind employing AI tools to help Law Enforcement Agencies analyze data, based on the existing solution, i.e., the MAGNETO (Multimedia Analysis and correlation enGine for orgaNised crime prevention and investigation) platform. In order to do this, the challenges Law Enforcement Agencies (LEAs) face with regard to data handling are presented. Then, the paper presents the key features of the MAGNETO platform, which is an innovative AI-based approach to empowering LEAs with the capabilities to process, manage, analyse, correlate and reason from the voluminous heterogeneous datasets; the underlying technologies are mentioned, too. It then discusses the innovative potential of the solution. The article proposes an array of technologies and methods that may be applied in order to facilitate LEAs in their handling of large amounts of heterogeneous data. Owing to the study, it has been shown that in the long run, the application of the platform will contribute to safer, more secure Europe. Additionally, it may even help save lives during the COVID-19 pandemic.

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Metadaten
Titel
Why Do Law Enforcement Agencies Need AI for Analyzing Big Data?
verfasst von
Aleksandra Pawlicka
Michał Choraś
Marcin Przybyszewski
Laurent Belmon
Rafał Kozik
Konstantinos Demestichas
Copyright-Jahr
2021
DOI
https://doi.org/10.1007/978-3-030-84340-3_27