https://doi.org/10.36719/2663-4619/111/140-144
Khanim Rahimova
Baku, Azerbaijan
https://orcid.org/0009-0008-0150-5306
rehimova.xanim97@mail.ru
Artificial Intelligence As a Remedy For Economic Crimes Throughthe Application of the Labeling Theory
Abstract
In the modern world, with technological development, economic crime rates are increasing daily. This creates questions about artificial intelligence and whether it is possible to protect data and avoid the detrimental effects of technology by itself. This article will discuss the connections between financial crimes, artificial intelligence, labeling theory, and the possible benefits of artificial intelligence over economic crimes by using the labeling theory which became more popular in criminological sciences in the 1960s years. It gives general information about financial crimes, labeling theory, controlling economic crimes, and artificial intelligence in anti-corruption. It clarifies the methods that can be implemented in artificial intelligence to gain more benefits. In this article I collect data about the economic crimes committed in Azerbaijan and proceed in Baku Court on the Grave Crimes, then generalize this data to find similarities between crimes, and find outcomes that could contribute to possible solutions.
Keywords: artificial intelligence, economic crimes, labeling theory, crime detection, financial crimes