Description: A coalition of 15 human rights groups has launched legal action against the French government alleging that an algorithm used to detect welfare fraud discriminates against single mothers and disabled people. The algorithm assigns risk scores based on personal data. The process allegedly subjects vulnerable recipients to invasive investigations, violates privacy and anti-discrimination laws, and disproportionately affects marginalized groups.
Editor Notes: Reconstructing the timeline of events: (1) Since the 2010s: The algorithm has been in use to detect errors and fraud in France’s welfare system. (2) 2014: One version of the algorithm scored single-parent families, particularly those recently divorced, and disabled individuals receiving the Allocation Adulte Handicapé (AAH) as higher risk. (3) 2020: A suspected update to the algorithm took place, though the CNAF has not publicly shared the source code of the current model. (4) October 15, 2024: A coalition of 15 human rights groups, including La Quadrature du Net and Amnesty International, filed a legal challenge in France’s top administrative court, arguing the algorithm discriminates against marginalized groups.
Alleged: Government of France developed an AI system deployed by Caisse Nationale des Allocations Familiales (CNAF), which harmed Allocation Adulte Handicapé recipients , Disabled people in France , Single mothers in France と French general public.
インシデントのステータス
インシデントID
822
レポート数
2
インシデント発生日
2024-10-15
エディタ
Daniel Atherton