I don't know enough to advocate a solution in the "defund the police" debate and I agree that I don't have enough personal experience from my aeron chair (which

I don't know enough to advocate a solution in the "defund the police" debate and I agree that I don't have enough personal experience from my aeron chair (which, as you know, I was actually born in.) But, excluding the less police argument, how is the prevalence of violent crime in low income African American neighborhoods a justification for predictive policing? Given the risk of propagating bias and a history of racist policing messing up the data, wouldn't it just be better to keep humans in charge? They've been disappointing recently but I still think they have potential. Maybe it would be helpful if I put better links here. I didn't expect this comment to get so many responses and my link was a bit flippant. This research probably does a better job of explaining the position than I do. Here's a Stanford survey from 2016 in Oakland that showed that African Americans are ~4.5x as likely to be stopped as whites despite representing a smaller percentage of the population, that they are 4x as likely to be handcuffed in a stop, 4x as likely to be searched in a stop and 2.5x as likely to be arrested in a stop (which is, as mentioned, 4.5x as likely to happen.): https://news.stanford.edu/2016/06/15/stanford-big-data-study-finds-racial-disparities-oakland-calif-police-behavior-offers-solutions/ https://news.stanford.edu/2016/06/15/stanford-big-data-study... I got interested in racist inference due to this Harvard paper that showed that google search ads were much more likely to suggest arrest records for African American names than white names: https://arxiv.org/ftp/arxiv/papers/1301/1301.6822.pdf https://arxiv.org/ftp/arxiv/papers/1301/1301.6822.pdf I accepted that implicit bias is intrinsic and difficult to weed out when I heard about studies showing that resumes with African American names received much lower response rates than white names: https://cos.gatech.edu/facultyres/Diversity_Studies/Bertrand_LakishaJamal.pdf https://cos.gatech.edu/facultyres/Diversity_Studies/Bertrand... I remember reading somewhere that this effect even persisted with African American studies professors selecting grad students. I can't find that paper but this HBS article describes the phenomenon and discusses how the response rate effect is even present when the company claims to promote diversity within the application: https://hbswk.hbs.edu/item/minorities-who-whiten-job-resumes-get-more-interviews https://hbswk.hbs.edu/item/minorities-who-whiten-job-resumes... I also advocate for learned epistemic helplessness (https://scienceforsustainability.org/wiki/Epistemic_Learned_Helplessness https://scienceforsustainability.org/wiki/Epistemic_Learned_...) even if I don't always practice it well. I'm only claiming to have knowledge in the small area of predicting bad behavior using machine learning. It's probably best to find a person of color with personal experience and a better knowledge of the literature for anything else. Of course, you already know that. I hope you're doing well!