Santa Cruz, California bans predictive policing in U.S. first
471–480 of 643 posts
Re: Santa Cruz, California bans predictive policing in U.S. first
#472Earlier quoted context omitted.
In many cases, I don't think you can separate "people" from "the system" because the system is a human construct in which human discretion is called upon repeatedly. For example, studies which show that young white children react more negatively to black faces compared to white faces - is this "the system"? Is is it "discretion"? I'm not sure you can differentiate the two. It's also important to note that just becaus…
It seems like you're saying momentum is racist.
Re: Santa Cruz, California bans predictive policing in U.S. first
#473Earlier quoted context omitted.
If we want to stop neighborhood gang violence in the long term, we need to work on why people join gangs, and what they are fighting over. We can't do that with police, who generally don't come into the situation until after it's too late and things have gone wrong. But if most of our money is going to the police, then what resources are available to do the longer-term work on gangs and neighborhoods? In software dev…
And what are the victims of violent crimes in those neighborhood do in the interim between the take resources from the already strained police departments and use them other for long-term measures? And I'm even assuming they even would have worthwhile results of course despite the premise that such programs would work is given in a matter of factly manner. Put yourself in the shoes of an innocent PoC who's house just…
Re: Santa Cruz, California bans predictive policing in U.S. first
#474The problem with predictive policing is in the name. Inference (ML) predicts the future from the past. If the past is racist, then inference will create a racist future. Since racism is systemic[1], especially when it comes to policing, predictive policing is actively working against an anti-racist future. There may be statistical ways to factor out systemic racism. There are two reasons I don't think that works: 1.…
Re: Santa Cruz, California bans predictive policing in U.S. first
#475Earlier quoted context omitted.
It seems like you're saying momentum is racist.
I'm not sure I understand what you're saying, but if your implication is that I'm saying "(legal) progress towards racial equality is racist", then I'm not really sure how you got that from my comment. My point is simply that you can have greater legal equality and yet things that happened in the past can still cause racist outcomes in the present (see my example).
I think this is describing how the system includes momentum, and you're saying that the system (momentum) is producing racially-biased outcomes _without_ racist input today. That's true in the strictest, most technical sense, but is this supposed to be a motivation for reparations or something?
Re: Santa Cruz, California bans predictive policing in U.S. first
#476The problem with predictive policing is in the name. Inference (ML) predicts the future from the past. If the past is racist, then inference will create a racist future. Since racism is systemic[1], especially when it comes to policing, predictive policing is actively working against an anti-racist future. There may be statistical ways to factor out systemic racism. There are two reasons I don't think that works: 1.…
I agree that, in general, you're going to have biased training data (with a bias that's difficult to measure) and so inherently policing recommendations will be biased. This is particularly problematic when it comes to arrests for crimes that are inherently 'selective' in their enforcement. Eg; drug-related crimes, public intoxication, loitering, trespassing. But the fact is... violent (fatal and nonfatal) crimes do…
All crimes are selective in enforcement; reporting, police response, and prosecution all, for all crimes, have both unintentional biases and deliberate prioritization and acts of discretion involved.
> There's a worrying trend in the conversation these days that has shifted from "there's a serious problem with racism in how police go about their job" to "we need less police".
Well, worrying to people who are invested in the biases of the present law enforcement structure, and who perceive it as working well for their interests.
> Folks in neighborhoods living with the constant threat of gang violence don't have the luxury to sit in their aeron chairs and argue about defunding the police.
And yet they are where the movement is strongest.
> They face the very real threat of themselves or their loved ones being shot on the streets and statistically not by police.
And, even then, the police don't care, don't help, further traumatize the victims when thet get involved in crime in those neighborhoods at all, and still drain resources that could be used to deal with the problems producing crime out of the community via their voracious appetite for funding.
Re: Santa Cruz, California bans predictive policing in U.S. first
#477Earlier quoted context omitted.
I'm not sure I understand what you're saying, but if your implication is that I'm saying "(legal) progress towards racial equality is racist", then I'm not really sure how you got that from my comment. My point is simply that you can have greater legal equality and yet things that happened in the past can still cause racist outcomes in the present (see my example).
> For example, redlining may now be illegal in the United States, but middle class white Americans have been benefiting from nearly a hundred years' worth of wealth accumulation through housing that black Americans were locked out of. This is a good example of how the "system" produces racially-biased outcomes without any racist human input in the present day. I think this is describing how the system includes moment…
Re: Santa Cruz, California bans predictive policing in U.S. first
#478Earlier quoted context omitted.
I agree that, in general, you're going to have biased training data (with a bias that's difficult to measure) and so inherently policing recommendations will be biased. This is particularly problematic when it comes to arrests for crimes that are inherently 'selective' in their enforcement. Eg; drug-related crimes, public intoxication, loitering, trespassing. But the fact is... violent (fatal and nonfatal) crimes do…
I agree, but I don't think the answer is pull the police out of predominantly black neighborhoods, which seems to be the motivation for shutting this program down. Better training, more black officers, more rules around the use of force seem like better options. Of course, I don't really know what the people in these neighborhoods want so I am open to some alternatives, but ranting about predictive policing doesn't s…
Re: Santa Cruz, California bans predictive policing in U.S. first
#479Earlier quoted context omitted.
> For example, redlining may now be illegal in the United States, but middle class white Americans have been benefiting from nearly a hundred years' worth of wealth accumulation through housing that black Americans were locked out of. This is a good example of how the "system" produces racially-biased outcomes without any racist human input in the present day. I think this is describing how the system includes moment…
I don't think it's just the "strictest, most technical" sense. It's a significant example of how "if you took the people out of the system, you'd still get biased outcomes based on race." (or, if you prefer, an example of where "an entirely non-racist staff would still produce racially-based biased outcomes")
Re: Santa Cruz, California bans predictive policing in U.S. first
#480The problem with predictive policing is in the name. Inference (ML) predicts the future from the past. If the past is racist, then inference will create a racist future. Since racism is systemic[1], especially when it comes to policing, predictive policing is actively working against an anti-racist future. There may be statistical ways to factor out systemic racism. There are two reasons I don't think that works: 1.…
This kind of thinking is so prevalent in tech circles. As long as we keep expecting technical solutions to every social problem, we'll stay to be at the mercy of FAANG and their machine learning algorithms. I hope this decision begins a wider movement against racist and sexist ML algorithms that are gradually infecting so many parts of society.