It's important to remember that AI doesn't have context, and just because it's using "data" to make decisions doesn't mean the decisions are unbiased - the underlying data may be biased.
It's important to remember that AI doesn't have context, and just because it's using "data" to make decisions doesn't mean the decisions are unbiased - the underlying data may be biased.
You're not allowed to discriminate on race in housing. But is an AI that determines your creditworthiness for mortgages allowed to discriminate on what you eat, where you go to church, what your favorite music is, etc.? Maybe it doesn't have that data, but it will have one level higher - what store credit cards you have and how much you use them and where you opened them.
If you train an AI on a segregated city with a history of actively discriminatory citizens, where the few people of race X who moved into a not-race-X neighborhood got harassed out and sold before they paid off their mortgages, how easily will the AI conclude that people born in certain neighborhoods are more likely to pay off their mortgage if they avoid certain other neighborhoods?
Is that illegal? (My guess is there's no way to prove to a court, to the court's usual standards, that the AI happened to learn the city's racial tensions.) Should it be illegal, if outright racial discrimination is illegal?
This seems to be the case in London, too, so it's a bigger issue than just the US.
But for things like drug possession, yes, blacks probably get stopped much more and not let off with warnings much less.
It is like with plagues. If you put many people with plague in one area do expect that others will catch it. If the rule to segregate is silly enough do expect a correlation of plague with certain characteristics of people put together and the locations. Or their sizes. Maybe it is "cities" or "presence of slums" not skin colour, combined with overrepresentation of people with certain skin colour in them.
It takes some write genius analysis and experimentation to untangle such complex effects from causes.
Call again when you have an AI that can deal with this. Essentially a researcher AI.
If lack of money causes homicides, we should expect to see all poor rural areas have high homicide rates, too. Maybe that's true.
Another factor seems to be sex. Males commit so much more violence, so perhaps that's the only thing to focus on.