This is not how I interpreted OPs comment at all. I just read it as a note that data shows correlation between minority communities and crime. Minority is a flexible, relative term, to my understanding - which, notably in recent years is frequently attributed to "non-white", but over time has been attributed to many different groups of people (caucasian as well).
Interpreting it as meaning "non-white" in this context is yet another good example of our predisposed biases and relativistic understandings at play, I suppose.
Not to harp on you - just noting the differences in our perceptions.
At the end of the day, there's enough real, vile bigotry out there in our society, I think it's important to be extra clear when discussing topics like this.
I agree, there is are many negative biases in the real world. More so, I'd argue, on the internet, where people feel safer at a distance to state disagreeable opinions.
It's worth noting, especially when we are discussing the nature of how an AI learns.
Problems like violence have multiple causes, but are widely understood to be linked to problems of poverty, inequality, and marginalization. Violence is also self-perpetuating through social networks. When an incautious user of statistical tools fails to investigate the causal story behind such findings, they're going to get the wrong answer. When a policymaker acts on incomplete or misleading findings, they're going to make the problem worse.
*Unless you're arguing that it's the fact of being non-white which makes people more violent, in which case I have nothing to say to you.