Method for determining the feasibility of the application of Artificial Intelligence in the fight against terrorism and organized crime

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Stefania Raimondi Romero
Matías Josué Chicaiza Flores
Andrea Katherine Bucaram Caicedo
Santiago Fernando Fiallos Bonilla

Abstract

Artificial intelligence (AI) is transforming judicial management, providing tools that guarantee greater effectiveness and impartiality in the fight against high-profile crimes such as terrorism, drug trafficking, and organized crime. However, its implementation faces ethical and legal challenges, such as the need for transparency, respect for due process, and the safeguarding of human rights in the criminal justice system. In this context, the purpose of this research is to implement a neutrosophic method to determine the feasibility of applying AI in the fight against terrorism and organized crime, evaluating its potential for the management and resolution of complex cases without compromising the essential guarantees of the rule of law. The results indicate that it is crucial to establish clear standards and control systems to ensure that AI tools respect the principles of legality, fairness, and the protection of fundamental rights. This analysis contributes to the debate on the ethics and regulation of Artificial Intelligence in the judicial system, proposing guidelines for its integration in the fight against significant crimes without jeopardizing the essential pillars of criminal justice and the protection of human rights.

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Method for determining the feasibility of the application of Artificial Intelligence in the fight against terrorism and organized crime. (2025). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 38, 380-388. https://fs.unm.edu/NCML2/index.php/112/article/view/819
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How to Cite

Method for determining the feasibility of the application of Artificial Intelligence in the fight against terrorism and organized crime. (2025). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 38, 380-388. https://fs.unm.edu/NCML2/index.php/112/article/view/819

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