[_v7gu]

Well, humans are already capable of dealing with it. The judges know that prisoners know what is expected of a good prisoner. The decisions are already being made with that in mind.

Contrast this with evaluating a programmer's performance. Everyone knows that lines of code written, number of tickets closed, number of fixed bugs or lines of documentation written do correlate well with performance. But the minute they are revealed to impact performance reviews, those metrics becone trash. Until you can find viable instruments, you shouldn't ever put those into a model and expect to have good predictions. If your model is not explicitly equipped to deal with endogeneity (like structural equation models), it will fail when faced with it.

If you think a judge is influenced by things that are unrelated to the case, you should appeal to the court above (which you can readily do in Continental Europe, but I don't know about Common Law).

[candiodari]

> Well, humans are already capable of dealing with it

If that were true, algorithms wouldn't be able to outperform those humans on the metrics that matter.

About your faking metrics issue, the trick in this case is simply taking the metrics that matter and feeding them into an algorithm. Problem solved.

Take metrics:

1) will suspect face justice if released

2) will he reintegrate faster if released

Anyone criminal who wants to game those metrics, well I for one will be applauding that !