Just wanted to flag an Upshot story that ran in the New York Times the other day, looking into the algorithm that the Chicago Police Department uses to predict who is most likely to be involved in a shooting (whether as the shooter or as the victim.)
As I’ve mentioned before – and Nick Diakopoulos has campaigned about – we ought to be doing more to cover the alogorithms that rule increasing parts of our lives, so it’s great when there’s a piece that does exactly that.
The story, by Jeff Asher and Rob Arthur, takes as a starting point the limited public information about the algorithm – known as the Strategic Subject List – that’s available, then tries to figure out how it works.
But using the publicly available data that (the CPD) have released, we reverse-engineered the impact of each characteristic on the final risk scores with a…
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