Artificial Intelligence Against Structural Corruption: Early Detection in Public Administration

DOI: https://doi.org/10.5209/dere.103511
Keywords: artificial intelligence, structural corruption, public administration, transparency, fundamental rights

Abstract

This study examines the use of artificial intelligence (AI) to detect structural corruption in public administration, a systemic phenomenon undermining institutions. Through a comparative analysis, it evaluates AI applications in Colombia (VigIA), Mexico (Percephtor), Peru (SISE), and other contexts. Ethical risks, such as algorithmic biases and privacy violations, are identified, proposing normative reforms to safeguard fundamental rights. The findings highlight AI’s potential, with human oversight, to enhance transparency and prevent corruption, contributing to the debate on law, technology, and communication.

Author Biography

Yackson Eustaquio Chaverra Mena, Fiscalía General de la Nación, Colombia

Yackson Eustaquio Chaverra Mena holds a Doctorate in Law from the Universidad de Baja California (Mexico), awarded with Magna Cum Laude honors; he is a doctoral candidate in Law at the Universidad Católica de Colombia; holds a Master’s degree in Criminal Law Sciences from the Universidad San Martín de Porres (Peru); is a Specialist in the Accusatory Penal System from the Universidad Católica de Colombia; and has completed graduate studies in Public Law at the Universidad Externado de Colombia. He is currently pursuing postdoctoral studies at the University of Bologna, Italy.

He has completed academic fellowships at the universities of Jaén, Málaga, and Granada (Spain). His research activities have been carried out through direct consultation of specialized sources in prominent international libraries, in which he is formally registered, including Harvard University (Boston, USA), Humboldt University of Berlin (Germany), the Library of Congress of the United States, and the Berlin Public Library.

His professional and academic work focuses on the study of structural criminality, public administration, and the incorporation of disruptive technologies—such as artificial intelligence, blockchain, and Big Data—into criminal investigation and legislative reform.

He currently serves as Sectional Prosecutor for Priority Cases and Indigenous Affairs in Quibdó, Chocó (Colombia). He is also a university lecturer, speaker, and author of indexed publications on criminal law, new technologies, and the protection of fundamental rights in digital environments.

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Published
2025-12-19
How to Cite
Chaverra Mena Y. E. (2025). Artificial Intelligence Against Structural Corruption: Early Detection in Public Administration. Derecom. Derecho de la Comunicación y de Nuevas Tecnologías, 38(2), 171-182. https://doi.org/10.5209/dere.103511
Issue
Vol. 38 No. 2 (2025)
Section
Artículos

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