Intelligenza artificiale e machine learning: nuovi strumenti per il contrasto della conflittualita’ asimmetrica e per la gestione delle crisi - il caso di studio pandemia covid-19 /Intelligence artificielle et apprentissage automatique : de nouveaux outils pour contraster les conflits asymétriques et pour la gestion de crise - l'étude de cas sur la pandémie de covid-19/Artificial intelligence and machine learning: new tools for contrasting asymmetrical conflict and for crisis management - the covid-19 pandemic case study

Autor:	Roberto Mugavero, William Thorossian
Jazyk:	English<br />French<br />Italian
Rok vydání:	2021
Předmět:	interoperabilità semantica minacce asimmetriche intelligenza artificiale machine learning criminalità terrorismo covid-19 Social pathology. Social and public welfare. Criminology HV1-9960
Zdroj:	Rivista di Criminologia, Vittimologia e Sicurezza, Vol XV, Iss 1-3, Pp 66-76 (2021)
Druh dokumentu:	article
ISSN:	1971-033X
DOI:	10.14664/rcvs/134
Popis:	Conflicts, asymmetric risks, instability, crime and terrorism are phenomena that, along with disruptive events such as the COVID-19 pandemic, increasingly characterize international security scenarios in a globalized way. This new paradigm requires innovative methodologies and solutions aimed at improving detection, knowledge and understanding of phenomena in order to prevent or respond to potential threats at local, regional and international level. This paper addresses the problem and analyzes how artificial intelligence can be used to improve security skills through the development and use of a platform based on artificial intelligence and machine learning algorithms.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/4f67c0828d49421fa7771fce58244d41 Zobrazit plný text záznamu View record in DOAJ