Uses of artificial intelligence in the Brazilian customs fraud detection system

Authors:
Luciano A. Digiampietri;Norton Trevisan Roman;Luis A. A. Meira;Jorge Jambeiro Filho;Cristiano D. Ferreira;Andreia A. Kondo;Everton R. Constantino;Rodrigo C. Rezende;Bruno C. Brandao;Helder S. Ribeiro;Pietro K. Carolino;Antonella Lanna;Jacques Wainer;Siome Goldenstein
Affiliations:
Institute of Computing, Campinas, SP (Brazil);Institute of Computing, Campinas, SP (Brazil);Institute of Computing, Campinas, SP (Brazil);Institute of Computing, Campinas, SP (Brazil);Institute of Computing, Campinas, SP (Brazil);Institute of Computing, Campinas, SP (Brazil);Institute of Computing, UNICAMP;Institute of Computing, UNICAMP;Institute of Computing, UNICAMP;Institute of Computing, UNICAMP;CLE-IFCH, UNICAMP;Brazil's Federal Revenue;Institute of Computing, UNICAMP;Institute of Computing, UNICAMP
Venue:
dg.o '08 Proceedings of the 2008 international conference on Digital government research
Year:
2008

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Abstract

There is an increasing concern about the control of customs operations. While globalization incentives the opening of the market, increasing amounts of imports and exports have been used to conceal several illicit activities, such as, tax evasion, smuggling, money laundry, and drug trafic. This fact makes it paramount for governments to find automatic or semi-automatic solutions to guide the customs' activities in order to minimize the number of manual inspections of goods. In this context, this paper presents an overview of some approaches developed in the HARPIA project that is a partnership between universities and the Brazilian Federal Revenue for the development of computational intelligence solutions to the management of customs risk.