If the "data available" is biased, an unbiased system must compensate for the biases of the data it is using. Otherwise you are failing to be "actually correct".
The truth is that men living in certain areas are much more likely to commit violent crime and therefore get arrested than the average person in the United States. This is the sad reality of the world we live in. It isn't wrong to deploy police resources where they are most needed. If the data shows that these areas are no longer hotspots of crime, then we can reroute resources elsewhere.
The problem is that using arrest/conviction rates to predict crime rates will be inaccurate if you don't correct for the biases that exist in the ways in which crimes lead to arrests and convictions.