Application of artificial intelligence to support law enforcement agencies in combating financial crime

  • Pawel Olber Police Academy in Szczytno
  • Wojciech Warczak Police Academy in Szczytno
Keywords: artificial intelligence, machine learning, economic crime, law enforcements agencies

Abstract

The relentless technological development we are witnessing has far-reaching implications for almost every area of social and economic life. Fast and unlimited access to information, the remote establishment of interpersonal, business, and financial relations, including rapid money transfers, are only some developments. The development of new technologies, apart from many advantages, brings with it many risks. These threats include criminal activity on the Internet. It is aimed at obtaining financial gain. This type of criminal activity involves financial and cyber aspects, which causes many problems and challenges in law enforcement detection activities. Law enforcement activities must consider collecting and analysing vast amounts of data, which reach gigantic sizes and capacities. The manual capacities of investigators for effective data analysis exhausted long ago. The lack of support of law enforcement authorities in advanced technological tools may cause a decrease in detection efficiency and lower public confidence in state structures and internal security. The solution to the above problem may be artificial intelligence tools that allow for automatic analysis of large and diverse data sets and identification of anomalies and information relevant for law enforcement. We describe an example of the application of artificial intelligence solutions in conducting financial investigations in this article. This work is a contribution to law enforcements agencies pragmatics. The publication shows the role and place and potential of artificial intelligence in combating financial crime.

References

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Published
2021-11-26
Section
Informatics and Applied Mathematics in Forensic, Cybercrime and Security Science