Home / Projects / Plataforma Tecnológica de Intervención Social
Name: Plataforma Tecnológica de Intervención Social (Argentina)
Our extended analysis:
Area of Application: Education What kind of AI according to the project's official information: Machine learning
Goals: Prevent school dropout and teenage pregnancy. Smart algorithms are able to identify characteristics in people that could result in any of these problems and warn the government so it can work to prevent them.
How does it work according to the project's official information: From a database of 200,000 residents of Salta, including more than 12,000 women between 10 and 19 years of age, predictive models were created to apply calculations and determine whether the girls were or had been pregnant, based on the following data: age, neighborhood, ethnicity, country of origin, presence or absence of disability, hot water supply in the bathroom and if the head of the household had dropped out school.
Possible bias: Studies have shown that the database is biased, the subject is sensitive, confidential, and has a hard-to-reach nature, furthermore, there is a risk of including more adolescent pregnancies in certain sectors of society than others. Furthermore, biased survey questions did not include questions on contraceptive methods nor Comprehensive Sex Education.
Public Institutions Involved: Ministerio de Primera Infancia de Salta and Fundación CONIN
Companies/Private Institutions Involved: Microsoft
Other interesting facts: In 2018, this project was presented at the United Nations, the model was meant to be applied in La Rioja, Tierra del Fuego and Chaco. It was also “exported” at least to Colombia and Brazil.
Related links with further information: