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

Carlos Imbrosio Filho – University Autónoma de Lisboa, Rua de Santa Marta, 47, 1169-023, Lisbon, Portugal

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.

8th International Scientific Conference on Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture – ITEMA 2024 – Conference Proceedings, Hybrid (Zayed University, Dubai, UAE), October 24, 2024

ITEMA Conference Proceedings published by: Association of Economists and Managers of the Balkans – Belgrade, Serbia

ITEMA conference partners: Faculty of Economics and Business, University of Maribor, Slovenia; Faculty of Organization and Informatics, University of Zagreb, Varaždin; Faculty of Geography, University of Belgrade, Serbia; Institute of Marketing, Poznan University of Economics and Business, Poland; Faculty of Agriculture, Banat’s University of Agricultural Sciences and Veterinary Medicine ”King Michael I of Romania”, Romania

ITEMA Conference 2024 Conference Proceedings: ISBN 978-86-80194-89-9, ISSN 2683-5991, DOI: https://doi.org/10.31410/ITEMA.2024

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission.