Casos – Inteligencia artificial e Inclusión en América Latina

Case Studies

With the goal of gaining a better understanding of the development of public policies that include the implementation of Artificial Intelligence in Latin America, by identifying areas for improvement in light of current international principles and good practices that respond more appropriately to the local context, we have developed study cases in four different countries: Brazil, Chile, Colombia and Uruguay.

For each case, we have developed an explanation of the national context in which the implementation is framed, the regulatory and institutional context of the implementation, the data infrastructure involved, the decision-making process associated with the implementation and the technological design of the system implemented.

BRAZIL | National Employment System

#Brazil #Employment #Profilling ##Profilling

This project was developed from an agreement between the Brazilian government and Microsoft to facilitate the relocation of unemployed professionals in the labor market. It aims to incorporate artificial intelligence tools to generate profiles of unemployed workers registered in the National Employment System with the purpose of offering them job opportunities and personalized professional training possibilities.

Researchers: Paula Cardoso y Paulo Faltay

Research Coordination: Fernanda Bruno

Institution: MediaLab de la Universidad Federal de Rio de Janeiro (UFRJ) y Red LAVITS.

CHILE | Child Alert System

#Chile #Social Protection #Children #Youth

Sistema Alerta Niñez (Childhood Alert System) is a system implemented in Chile to to estimate and predict the risk levels of children and adolescents to suffer violations of their rights in the future, through an analysis of data from different administrative sources. In practice, it generates a “risk index” allowing the cases to be classified in order of priority making it possible for the State to anticipate and intervene early and preventively. The system has also become a platform for registering, managing and monitoring the cases of children and adolescents identified as being at higher risk.

Researcher: Matías Valderrama

COLOMBIA | PretorIA

#Colombia #Judicial System #Constitutional Protection

A project from the Colombian Constitutional Court, which aims to streamline the selection of cases on the judicial protection of fundamental rights which are part of its jurisdiction. The goal of the system is to classify or label judicial actions based on previously defined and coded categories. As a result, it presents the information in summary cards pointing out the appearance or not of categories in a text. It makes possible to get statistics and identify recurring themes within its jurisprudence as a decision-making tool.

Researcher: Víctor Saavedra y Juan Carlos Upegui

Institution: Dejusticia

URUGUAY | Coronavirus UY

#Uruguay #Health #Exposure Notification #Covid-19

Coronavirus UY is a free mobile application made available by the Uruguayan Ministry of Public Health that allows monitoring Covid-19 related symptoms and health provision through telemedicine, the identification of contacts infected with Covid-19 and access to information on the pandemic’s evolution in Uruguay. Since June 15, 2020 integrates the Google and Apple’s API for contact tracing through low energy Bluetooth.

Researcher: Dina Yael

BRAZIL | Emergency Aid

#Brasil #ProtecciónSocial #Privacidad #Covid19

Emergency Aid is a social protection program implemented in Brazil with the aim of appeasing the economic and social effects of the COVID-19 pandemic on the most vulnerable population. It is a data and automated program, where the decision to grant or not the benefit is made by the algorithm, without human intervention. The design of the policy and its implementation, based on the processing of personal data, reveal the possibility of violations of data protection and privacy rights.

Researchers: Clarice Tavares, Juliana Fonteles, Bárbara Simão y Mariana Valente.

Institution: InternetLab

Chile | Urban crime predictive system

#Chile #Delitos #Policía #Predicción 

The “Urban Crime Predictive System” was developed by the Security Analysis and Modeling Center (CEAMOS) of the University of Chile together with Carabineros de Chile, and has been implemented in fifty-eight police stations throughout the country, with the objective of efficiently directing preventive police patrolling, defining areas of greater vigilance and control. The report detects a series of problems such as the lack of transparency and audits, the type of data that is collected and the way in which it is treated, which could generate the reproduction of discriminatory practices.

Researcher: Josefina Buschmann