In Latin America, "about 37% of adolescents between 15 and 19 years of age drop out of school throughout the school year and almost half of them do so early, before completing primary education."
Problem to be solved:
Reduce the number of students dropped from High School
Populations that are affected by the problem
Youth from 12 to 19 years
Current response to this problem, considering related institutions.
Through the actions generated by the System for the Protection of Educational Trajectories
Proposal to solve this problem using AI:
Given that the risk of educational disengagement is not caused by the same reason and each student faces particularities, the interventions must be developed in a comprehensive way. The objective is to generate a predictive model for educational disengagement in secondary education based on information from students and the conditions of the educational offer and provide information to the different actors of the system and families to inform the concrete actions that are carried out at the territorial level and educational center, to protect the educational trajectories of students.
What security considerations, national laws or standards have to be taken into account to use each source of information?
Law 18,331 on Protection of Personal Data and Habeas Data
Main AI challenges identified:
Conceptualization and design, use and decision-making, accountability.
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.
El presente documento presenta un estudio de caso de un proyecto piloto en el estado de Jalisco que utilizó inteligencia artificial (IA) para el tamizaje de la Retinopatía Diabética.