SISBEN is a national survey that Colombia uses to classify and address the needs of its citizens. To classify the population according to socio-economic levels through the survey, a machine learning model was applied (Quentile Gradient Boosting), which presented excellent results in the evaluation of methodologies for SISBEN classification.
SISBEN is a survey that allows classifying the population according to their standards of living with the purpose of allowing social programs identify potential beneficiaries. The SISBEN IV methodology has the potential of allowing the identification of both income poverty and multidimensional poverty in the population.
Colombia
National Planning Department, Governorships, Municipalities
This self-assessment tool is designed to allow the mitigation of ethical risks associated with the use/application of new technologies. It is available so that the ethical performance of each system can be evaluated from the beginning.
Posibilidades y riesgos de la inteligencia artificial en el Estado digital
Este documento fue diseñado como insumo de una hoja de ruta que permite crear un marco para el uso ético, responsable y seguro de la IA en Costa Rica.