Sweden fraud prediction algorithm found to discriminate against women, migrants
Date: 2013
Affected: Försäkringskassan
Attack vector: algorithmic-bias
Category: real-world
Severity: Medium

AIAAIC-tracked incident. System: Fraud Prediction Model. Technology: Prediction algorithm; Machine learning. Sector: Govt - welfare. Jurisdiction: Sweden.


Mitigations:

Architectural layers (MAESTRO):