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PODCAST «NZZ AKZENT» - An Algorithm to Protect Women – It Failed in Amal's Case

PODCAST «NZZ AKZENT» - An Algorithm to Protect Women – It Failed in Amal's Case

From Neue Zürcher Zeitung · () German

Translated from German, summarized and contextualized by DistantNews.

At a glance

News Sources not specified Outcome reported
  • Spain's Viogén system, designed to predict and prevent femicides, failed to prevent the murder of Amal and her two children by her ex-husband.
  • Amal had repeatedly reported her ex-husband for abuse, and this information was entered into the Viogén system.
  • The case highlights the limitations of algorithmic risk assessment tools in domestic violence situations.

Spain is recognized globally for its efforts in preventing femicides, largely attributed to its early warning system known as Viogén. However, a recent tragedy involving the death of 30-year-old Amal and her two children has raised critical questions about the system's effectiveness.

On June 29, 2024, police discovered Amal and her children deceased in a small Spanish village. Her ex-husband, the father of the children, was subsequently arrested. For years, Amal had endured abuse from her ex-husband and had filed multiple police reports against him. This history of violence was known to the authorities and was inputted into the Viogén system.

The Viogén system is designed to assess the likelihood of a perpetrator reoffending violently, with the aim of providing better protection for women. In Amal's case, despite the documented history of abuse and her separation from the perpetrator, the system apparently failed to flag the extreme risk she was in.

NZZ foreign correspondent Julia Monn discusses the details of Amal's case and explores the boundaries of programs like Viogén. The incident underscores the complex challenges in predicting and preventing domestic violence, even with sophisticated technological tools in place.

DistantNews Editorial

Originally published by Neue Zürcher Zeitung in German. Translated, summarized, and contextualized by our editorial team with added local perspective. Read our editorial standards.