AI vs. Transnational Crime: Harnessing Intelligent Technologies to Disrupt Global Criminal Networks
AI vs. Transnational Crime: Harnessing Intelligent Technologies to Disrupt Global Criminal Networks

Author(s): Carlos Imbrosio Filho
Subject(s): Social Sciences
Published by: Udruženje ekonomista i menadžera Balkana
Keywords: Artificial intelligence; Transnational organized crime; Machine learning; Predictive analytics; Data privacy; International cooperation; Law enforcement; Anti-money laundering (AML); Cybersecurity; Ethical concerns
Summary/Abstract: Transnational organized crime (TOC) poses severe threats to global security, economies, and human rights, with criminal networks leveraging technology and financial systems to engage in activities like drug trafficking, money laundering, and cybercrime. Traditional methods struggle to keep pace, but artificial intelligence (AI) offers powerful tools to combat TOC. This article explores AI technologies such as machine learning and predictive analytics by enabling real-time data analysis, enhancing the detection of suspicious activities, and acting as threat prediction. Additionally, AI enhances international cooperation by facilitating intelligence sharing and improving anti-money laundering efforts. However, challenges like data privacy, ethical concerns, and AI bias must be addressed. Criminals also exploit AI, requiring law enforcement to stay ahead. A multi-stakeholder approach involving governments, law enforcement, and academia is crucial for developing ethical, effective AI solutions to disrupt and prosecute TOC.

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