97.5% of real workers scored cleaner than paid fakers in adversarial testing.
In adversarial testing we paid Frontline Workers to generate fake data with financial rewards for those who did best. A model trained on three data fields hit AUC 0.91, detecting 100% of fake Frontline Workers while only flagging 2.5% of real Frontline Workers as suspicious.












