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French Welfare Algorithm Faces Legal Challenge Over Discrimination Claims

A coalition of human rights groups has filed a lawsuit against CNAF's algorithm, alleging it unfairly targets marginalized communities.

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A photo taken on December 15, 2017 shows the Gironde headquarters of the "Caisse d'allocations familiales" (CAF), the family sector of the French social security system, in Bordeaux. Datamining, a key tool to fight against fraud, can also be used to track down those who "forget" to claim their benefits: sometimes up to 700 euros per month, as demonstrated by a pilot experiment at the Gironde CAF, which will be extended to other CAFs in 2018, and to the whole country in 2019. / AFP PHOTO / MEHDI FEDOUACH (Photo credit should read MEHDI FEDOUACH/AFP via Getty Images)

Overview

  • Fifteen organizations, including Amnesty International, have taken legal action against the French government's use of an algorithm to detect welfare fraud.
  • The algorithm used by CNAF is accused of discriminating against disabled individuals, single mothers, and low-income families by assigning them higher risk scores.
  • Critics argue the system violates European privacy laws and French anti-discrimination statutes, contributing to mass surveillance of vulnerable groups.
  • CNAF defends the algorithm as a tool for estimating fraud risk, asserting it does not intentionally discriminate against any group.
  • The case could influence the implementation of the EU's new AI regulations, which will ban social scoring practices starting February 2025.