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EmpiricalHR - data-driven employee decisions - Issue #143

EmpiricalHR - data-driven employee decisions
EmpiricalHR - data-driven employee decisions - Issue #143
Quite a bit this week about unintended consequences and side effects of data science and data-based decisions.
The headline article is something that I’ve been discussing for some time. It really concerns me not least because I have children who might be entering the labour force in the next decade. The issue is one where systems analysis would have predicted some time ago - that automation and to a lesser degree off-shoring reduces precisely the learning experiences that are so important to develop mastery.
The two articles about the new ‘Noise’ book are worth looking at. As I mention I’m enjoying the book tremendously at the moment (coming off the back of the amazing ‘Genius Makers’ about the history of deep learning, and the individuals behind this technology). I admit that I originally dismissed Noise as easier to deal with than bias. The authors are getting me to question that assumption.
Finally we have 2 articles from the HBR on reinforcement learning. I admit that at the moment I don’t know how this could be applied to People Analytics. Any ideas please let me know.

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Andrew Marritt | OrganizationView

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