Some criminal behaviors are somewhat correlated with skin color, age or gender. It would be extremely hard to train an AI to ignore those correlations. But would it even matter? Nobody knows why the AI flagged suspicious behavior, it usually can't tell even if you are able to ask follow up questions. So nobody could prove racial profiling.
[–] throwaway-medic 2 days ago
[–] GuB-42 2 days ago
Nurses and doctors don't refuse giving painkillers because they enjoy seeing their patients suffer, painkillers come with side effects. So they are trying to find a balance between preventing suffering and long term health. We can look at the wrong idea that black people have a higher pain tolerance as causing black patients unnecessary suffering, but you can also see it as protecting the long term health of black patients more. That's the same thing, just seen from a different angle.
But now that we know of this bias, we can of course try to fix it, but how. Now that we also have data: do black people have less painkiller-related problems? If they do, maybe we should give the black treatment to others, if they don't maybe they could get some more.
[–] steveBK123 2 days ago
If a model is trained on data that shows some bias due to prior human decisions, it would continue to follow those biases while being a lot harder to prove/sue. There were examples of this with AI assisted resume screening & criminal sentencing for example.
[–] preg_match 2 days ago
It's the same reason why Flock is so popular. It's just cameras, who cares right? Well Flock is popular for the organization, it's an accountability sink. The government can't just stand up a bunch of cameras, people will complain. Ahh, but Flock can. The entire economic value of Flock is purely the accountability laundering, the technology is just a footnote.
Really, many organizations in the US boil down to this. Producing value is hard, producing fake value is easy.
[–] derwiki 2 days ago
[–] smallmancontrov 2 days ago
[–] theonemind 2 days ago
I remember someone talking about AI detecting lung cancer from MRIs, and they discovered that it was assigning higher probabilities based on the age of the machine that took it (or maybe fMRI, and maybe it wasn't lung cancer, I'm forgetting the details). So those communities were poorer and had worse health and a higher incidence, or they'd have had the newer machine. You never really know how it's deciding anything (though in that case they did figure it out, it might not be impossible, but in the end, you probably end up figuring it out at a statistical level--I suspect the counter-factuals wouldn't be reliable), so you're introducing variables attempting to make a counter-factual, which makes me think that in the end, it'll come down to statistical analysis from real data/people/situations. Which is after you've let it loose doing the thing, unless you run it in parallel for a while before relying on it at all and statistically analyze that before relying on it. I'm not sure you can isolate a variable sufficiently except by statistical means on real data, because it looks at everything, and it might find a correlate to your correlate, and a correlate to that correlate, and reach the same conclusion based on your counter-factual not being able to sufficiently hide what it was looking at
I don't know, random thoughts
[–] the_doctah 2 days ago
Well, yes, because so is crime.
[–] andix 2 days ago
[–] ToucanLoucan 2 days ago
It's also worth noting that numerous crimes, the most egregious examples probably being cocaine/crack and marijuana, are explicitly racialized in their enforcement. Cocaine in rich white suburbs is a health issue. Crack in the ghetto is a crime wave. It's literally the same substance, the only difference is how it looks and who is taking it. (and if it was possibly supplied by the CIA...)
Meanwhile white offenders of pot abuse get off with a few months here and there, and black people caught with it frequently, you know, fucking die.
[–] andix 2 days ago
[–] Windchaser 2 days ago
And then this just reinforces the idea: "well, look at the crime statistics, black kids are more crime-prone, right"
[–] ToucanLoucan 2 days ago
The fact that this is the same kind of life event that can literally, without any hyperbole, cost a black person their life, fucks with me sometimes.
[–] the_doctah 2 days ago
Anecdotes fall apart when we don't cherry-pick.
[–] Windchaser 2 days ago
This is not a personal story, not an anecdote. I'm reporting on a study that looked at incarceration rates for drug use vs the drug use itself.
Why is that important? Because the study itself is solid, and it shows that there is some sort of bias between police/policing and african-american communities.
Sure, maybe that bias doesn't show up in other areas like firearm-related crimes. Or: maybe it does, and we haven't yet figured out how. Or, maybe it plays an indirect role, further eroding the relationship between the AA communities and the police, gradually building up a mutual dynamic that subjects black people to an unhealthy chronic level of stress and despair and harassment while also "justifying" the prejudicial activities of the cops.
There are whole books written about this. But at a minimum, I can't imagine just brushing over a 4x higher arrest rate for the same level of crime. That's pretty damn big.
[–] the_doctah 2 days ago
[–] scheme271 2 days ago
At the very least, this suggests that police in NYC and probably elsewhere were disproportionately singling out Black (and Latinos) for intrusive searches without evidence and on a pretextual basis.
[–] ToucanLoucan 2 days ago
So, every police institution? I’m sure there are exceptions, but there’s enough of a preponderance to safely assume it and the data bears that out.
[–] yieldcrv 2 days ago
most of the violent crimes are from people with prior crimes, but the prior crimes themselves weren't necessarily violent, but just enough to marginalize that person from ability to participate in society with steady jobs
such as the possession of now-legalized substances, and the possession stop itself was based on flimsy pretexts that could have been fought, but it made more sense to take a plea-deal for that person or they were not aware of how to not engage with police and damned themselves without a lawyer present
[–] kbrannigan 2 days ago
What about the crimes happening in company boardrooms rather than on the street corners?
People often call crime, individual offenses and think of certain racial groups, while ignoring real crimes committed by corporations led by other racial groups.
The crazy thing is that the greatest harms are caused by people who are not target of surveillance technology .
[–] ToucanLoucan 2 days ago
If you work at a store and you take $100 from the register, you can be detained and jailed. Maybe prosecuted depending where you are.
If you work at a store and short five workers $20 each on their checks, and pocket it, they all have to individually pursue it as a civil matter, which itself costs money and time they probably don't have. It's fucking wild behavior.
I have to disagree though, it's not that crazy. Crime has always been a social construct much as that triggers a certain kind of person to hear, it just is. We decide the bounds of "good" behavior as a society and then determine punishments for those who transgress but at the same time, the law enforcement and justice systems are themselves systems made of people, and therefore inherit their biases. There have always been crooked cops, crooked judges, crooked prosecutors, etc. Like this isn't revolutionary shit I'm talking about, this is a standard plot point in movies going back to before movies had sound.
[–] the_doctah 2 days ago
[–] ToucanLoucan 2 days ago
Oh, unless you mean the CIA thing. Then google "Contra CIA bloods crips" and you'll find everything on that.
For example, it is a common belief within the medical community that Black people have higher pain tolerance, and thus don't need as much or as strong of pain killers. People in pain sitting in beds in the ER will be delayed or refused pain killers because of this. This belief has been proven false, but it shows up in papers, notes, etc. and nurses and doctors still will treat their patients as if it's true.
This is just one example of many many things they test for. When training the model the data-science team actually tries to see if they can produce output that exhibit those identified biases/problems and block it from ever been used in production if they do.
I've had people internally tell me how frustrated they are that I or other people aren't letting them get their new-fangled AI-powered feature in front of customers fast enough... Without a lot of discipline and guardrails people would be using ChatGPT or Claude APIs instead.
My point is: I highly doubt that kind of care is being taken in many industries/companies. It's very concerning to me.