The most important prerequisite for studying the risks of using artificial intelligence in drug trafficking is that in its organized forms, this activity is essentially a business model that has significant similarities with the patterns of functioning of legal entrepreneurial activity. These risks are of particular relevance in the context of the COVID-19 pandemic. The costs incurred during the pandemic, as well as the continuing anti-epidemiological measures, are forcing illegal entrepreneurs to look for ways to optimize business processes. Artificial intelligence is the most effective tool for this. This technology can be used for the optimal geographical distribution of drug production sites, procurement and transportation of raw materials, precursors, increasing the quantity and improving the quality of the manufactured product. Artificial intelligence can be used in planning drug trafficking, including the use of unmanned vehicles, it allows assessing the quality of sales markets, it can facilitate the organization of marketing activities, regulate the prices of drugs, is able to provide assistance in the course of money laundering, diversification of criminal business, coordination actions of members of a criminal group, in the selection of personnel, their placement and management.
artificial intelligence; drugs; business model; logistics; blockchain; criminological risk; drug trafficking; legalization of criminal proceeds; risk assessment; machine learning.
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