The Algorithm That Criminalizes Poverty: France's Welfare Surveillance Machine
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When an algorithm decides you're guilty before you've even spoken to a human—and you're already living below the poverty line.
This explosive investigation reveals how France's welfare system (CAF) uses a secret algorithm called DMDE to silently score 32 million citizens' lives every single month.
What you'll discover:
Why being poor, disabled, or a single mother automatically makes you a "high-risk fraud target"
How a stolen passport with fake stamps was used to create a €16,000 debt
The terrifying "shadow debt" loophole that lets bureaucrats bypass the law
Why counting toothbrushes and interrogating neighbors is now standard procedure
How machine learning is mathematically laundering discrimination
Based on leaked internal documents, NGO investigations from Amnesty International and La Quadrature du Net, and the harrowing real-life case of Quentin M.—a man who watched his life collapse because a machine decided he was a criminal.
The system was built to protect public funds. Instead, it's industrialized suspicion against the most vulnerable.
"When the safety net is trained to view human fragility as a risk factor—who protects us from the safety net itself?"