Central Bank Digital Currencies (CBDC) and Data Science as tools against crime

The present article aims to outline how Central Bank Digital Currencies (CBDC), in conjunction with data analysis and other technological tools, can be used to build models capable of predicting the criminal behavior of users and combating crimes such as money laundering, drug trafficking, and corruption in Latin America. This involves documentary research supported by a descriptive level of study with a bibliographic design, aiming to showcase the implementation of these instruments in Latin America. The research includes a thorough review of academic literature, explaining the blockchain system, and examining the use of CBDC in some South American countries. It highlights how their digital nature leaves a trace that can be monitored and analyzed by authorities, enabling the prediction of situations. In conclusion, it is asserted that the adoption of CBDC, combined with the use of Data Science and artificial intelligence tools, can be useful for crime prevention.

• Hlavní autor: Jaimes Becerra, Jesus Ramon (author)
• Další autoři: Perez Rivas, Natali Yormeri (author), Oña Dominguez, Ángel Andrés (author), Campaña Chaglla, Jimena Alexandra (author), Salazar López, Jairo Javier (author), Intriago Alcivar, Josselin Magdalena (author)
• Médium: article
• Jazyk: spa
• Vydáno: 2024
• Témata: dinero digital; bancos centrales; predicción; corrupción; narcotráfico; digital money; central banks; prediction; corruption; drug trafficking
• On-line přístup: https://revistas.uteq.edu.ec/index.php/csye/article/view/768