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Inteligencia Artificial para Detectar Corrupción en la Administración Pública Municipal de Colombia

Author

Listed:
  • Kevin Steven Mojica Munoz

Abstract

Esta investigación busca evaluar el uso de algoritmos de aprendizaje de máquinas en la detección temprana de actos de corrupción en la administración pública municipal de Colombia. Esto se desarrolla a partir de dos enfoques: (i) una evaluación de algoritmos de aprendizaje supervisado para la predicción directa de variables relacionadas con la corrupción y, (ii) una evaluación de aprendizaje no supervisado para la segmentación de riesgo relativo de corrupción. Los resultados indican que, pese a que se obtienen resultados satisfactorios en la evaluación de aprendizaje supervisado, el aprendizaje no supervisado se per la como la herramienta más útil para la detección temprana de corrupción municipal en Colombia. A partir de estos hallazgos, se crea un Índice de Riesgo Relativo de Corrupción Municipal para el periodo 2020-2023. Este índice busca servir a los organismos de control en la focalización de sus esfuerzos de investigación y prevención de la corrupción.

Suggested Citation

  • Kevin Steven Mojica Munoz, 2021. "Inteligencia Artificial para Detectar Corrupción en la Administración Pública Municipal de Colombia," Documentos CEDE 19421, Universidad de los Andes, Facultad de Economía, CEDE.
    • Handle: RePEc:col:000089:019421
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    File URL: https://repositorio.uniandes.edu.co/bitstream/handle/1992/50541/dcede2021-31.pdf
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    More about this item

    Keywords

    Corrupción; Aprendizaje de Máquinas; Administración Pública.;
    All these keywords.

    JEL classification:

    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • H70 - Public Economics - - State and Local Government; Intergovernmental Relations - - - General

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