Incident 188: Argentinian City Government Deployed Teenage-Pregnancy Predictive Algorithm Using Invasive Demographic Data

Description: In 2018, during the abortion-decriminalization debate in Argentina, the Salta city government deployed a teenage-pregnancy predictive algorithm built by Microsoft that allegedly lacked a defined purpose, explicitly considered sensitive information such as disability and whether their home had access to hot water.


New ReportNew ReportNew ResponseNew ResponseDiscoverDiscoverView HistoryView History
Alleged: Microsoft developed an AI system deployed by Salta city government, which harmed Salta teenage girls and Salta girls of minority groups.

Incident Stats

Incident ID
Report Count
Incident Date
Sean McGregor, Khoa Lam
About the automatic prediction of teenage pregnancies · 2019

About the automatic prediction of teenage pregnancies

After studying the methodology of the artificial intelligence system supposedly capable of predicting teenage pregnancies, mentioned by the Governor of Salta, Juan Manuel Urtubey, we fou…

The Case of the Creepy Algorithm That ‘Predicted’ Teen Pregnancy · 2022

A government leader in Argentina hailed the AI, which was fed invasive data about girls. The feminist pushback could inform the future of health tech.

In 2018, while the Argentine Congress was hotly debating whether to decriminalize abortio…

Microsoft Created Creepy Algorithm to Predict Which Specific Teens Would Get Pregnant · 2022

Everything about this is a nightmare.

It’s a nightmarish mix of Big Tech overreach and state authoritarianism.

The Argentinian province of Salta approved the development of a Microsoft algorithm in 2o18 that allegedly could determine which …

Microsoft made an AI algorithm to predict pregnancies of specific preteen girls · 2022

In one of the most WTF uses of artificial technology yet, Microsoft has created one of the most bizarre algorithms ever. In an effort to show off its advancements in AI, the computer software company has crafted an AI to predict the impregn…


A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.