5 ms·
How are you managing human bias in this model?
by beardedwizard 7y ago
How are you managing human bias in this model?
- zo1 7y agoDepends on what kind of bias you want/need to manage? Corruption/bribery is a big risk factor in SA so that is usually the one most people worry about, rather than racial bias. One of the things you have to look at is "how" that bias may manifest and if bias can even be applied in any negative sense in the realm of control you give to the user. If you give someone a task where they are to compare two faces, and they don't like the demographic of that individual, I suppose they might pick incorrectly (because you only gave them true/false type options). But you can build in review processes, reporting, performance feedback, etc to mitigate that. You need not treat it as bias at all, merely bad performance/mistakes that need correcting.
- beardedwizard 7y agoConsider a hypothetical scenario in modern police work: First pass returns a false positive on suspect match, police act on the false positive in a way that results in jail or death due to racial bias. This rarely manifests as a performance issue with easy remediation. I'm not sure adding more humans to the mix is a solution to solving bias problems because humans are unconsciously biased and may be perversely incentivized.
- zo1 7y agoI don't understand? I just gave solutions above how adding humans in the mix solves accuracy and can most-likely preclude bias.