CRIMINOLOGICAL RISKS OF THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGY IN ILLEGAL DRUG TRAFFICKING

V. Solov’ev
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Abstract

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.
在非法贩毒中使用人工智能技术的犯罪学风险
研究在毒品贩运中使用人工智能的风险的最重要先决条件是,在有组织的形式下,这种活动本质上是一种商业模式,与合法企业活动的运作模式有很大的相似之处。在2019冠状病毒病大流行的背景下,这些风险尤为重要。大流行期间的费用以及持续的反流行病措施迫使非法企业家寻找优化业务流程的方法。人工智能是最有效的工具。该技术可用于药品生产场所的最佳地理分布,原料、前体的采购和运输,增加制成品的数量和质量。人工智能可用于规划毒品贩运,包括使用无人驾驶车辆,它允许评估销售市场的质量,它可以促进营销活动的组织,调节毒品的价格,能够在洗钱、犯罪业务多样化、协调犯罪集团成员的行动、人员的选择、安置和管理等过程中提供协助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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