El impacto de la inteligencia artifical en la eficiencia del SAGRILAFT: Aliado estrategico o riesgo emergente?

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dc.contributor.advisorJiménez Herrera, Adriana
dc.contributor.authorGalán Garavito, John Edison
dc.contributor.authorBustos Gutiérrez, Daniel Antonio
dc.date.accessioned2025-07-08T21:08:23Z
dc.date.available2025-07-08T21:08:23Z
dc.date.issued2025-07-08
dc.descriptionEste artículo examina cómo la Inteligencia Artificial (IA) influye en la eficiencia operativa del Sistema de Administración del Riesgo de Lavado de Activos y Financiación del Terrorismo (SAGRILAFT). A partir de una revisión sistemática de artículos académicos indexados en Scopus, se identifican patrones temáticos, metodológicos y geográficos en torno al uso de IA en sistemas de cumplimiento normativo. Se analizan los beneficios operativos que ofrecen los modelos predictivos y algoritmos inteligentes, así como los desafíos éticos, regulatorios y técnicos que implica su adopción en contextos sensibles. Los resultados revelan que la IA puede ser un aliado estratégico valioso para fortalecer la detección y prevención de operaciones sospechosas, siempre que se integre bajo marcos normativos claros, supervisión humana activa y principios de gobernanza algorítmica. El estudio aporta una mirada crítica y comparativa que visibiliza brechas regionales, propone lineamientos para el fortalecimiento normativo del SAGRILAFT, y ofrece herramientas conceptuales para entidades reguladas, desarrolladores y tomadores de decisiones en materia de auditoría y control digital.
dc.description.abstractThis article examines how Artificial Intelligence (AI) influences the operational efficiency of the Risk Management System for Money Laundering and Terrorism Financing (SAGRILAFT). Based on a systematic review of academic articles indexed in Scopus, the study identifies thematic, methodological, and geographic patterns related to the use of AI in regulatory compliance systems. It analyzes the operational advantages offered by predictive models and intelligent algorithms, as well as the ethical, regulatory, and technical challenges involved in adopting such technologies in sensitive contexts. The findings suggest that AI can be a valuable strategic ally in strengthening the detection and prevention of suspicious activities, provided it is integrated under clear regulatory frameworks, active human oversight, and principles of algorithmic governance. This study provides a critical and comparative perspective that highlights regional gaps, proposes guidelines to enhance the regulatory scope of SAGRILAFT, and offers conceptual tools for regulated entities, developers, and decision-makers in the field of digital audit and control.
dc.description.degreelevelEspecializaciónspa
dc.description.degreenameEspecialista en Auditoría y Aseguramiento de la Informaciónspa
dc.identifier.instnameinstname:Universidad Santo Tomásspa
dc.identifier.reponamereponame:Repositorio Institucional Universidad Santo Tomásspa
dc.identifier.repourlrepourl:https://repository.usta.edu.cospa
dc.identifier.urihttp://hdl.handle.net/11634/68206
dc.language.isospa
dc.publisherUniversidad Santo Tomásspa
dc.publisher.branchCRAI-USTA Tunja
dc.publisher.facultyFacultad de Contaduríaspa
dc.publisher.programEspecialización Auditoría y Aseguramiento de la Informaciónspa
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2
dc.rights.localAbierto (Texto Completo)spa
dc.subject.proposalInteligencia Artificial, Lavado de Activos, Financiación del Terrorismo, SAGRILAFT, Gestión de Riesgos, Auditoría, Cumplimiento Normativo, Ética en Tecnología, Control Interno
dc.titleEl impacto de la inteligencia artifical en la eficiencia del SAGRILAFT: Aliado estrategico o riesgo emergente?
dc.typebachelor thesis
dc.type.coarhttp://purl.org/coar/resource_type/c_7a1f
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.driveinfo:eu-repo/semantics/bachelorThesis
dc.type.localTrabajo de gradospa
dc.type.versioninfo:eu-repo/semantics/acceptedVersion

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