4 ms·
Well, if investigations are triggered only by algorithms, if you intend to commit fraud, you can run their statistical model against your future data and see if
by DeathArrow 3y ago
Well, if investigations are triggered only by algorithms, if you intend to commit fraud, you can run their statistical model against your future data and see if alarms fire off. If so, just massage the data until they don't.
- a_dabbler 3y agoI don't think those likely to commit welfare fraud are going to be worrying about the statistical model and most of these variables aren't easily modifiable (except months since last emailed) assuming the source of information is reliable
- pas 3y agothere are these random sampling checks (I guess to get a reference baseline) > The CNAF trains its models on households who were randomly investigated as part of the Paiement à bon droit Fraudes (PBDF), an annual survey
- makomk 3y agoThe big practical obstacle to this is that the things this flags people as potentially committing fraud based on look to be the same things an actual fraudster would manipulate in order to get payments they're not actually entitled to - stuff line income, living situation, kids etc. So the obvious route to not setting off fraud alarms would likely involve not committing fraud, or at least not the most obvious and profitable kinds.