(This article was originally published at Big Data, Plainly Spoken (aka Numbers Rule Your World), and syndicated at StatsBlogs.)
In our newest column, we take on the recent media obsession with companies who make robots that hire people. (link)
As with most articles about data science, the journalists failed to dig up any evidence that these robots work, other than glowing quotes from the people who are selling these robots. We point out a number of challenges that such algorithms must overcome in order to generate proper predictions. We also discuss why measuring the outcomes of these predictions is so hard: one problem is we have no objective standard for someone being the "correct" hire; another is the action we take based on the predictions affects the outcome that was predicted.
Read the entire article here.
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