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This Nature commentary by myself (at NYU) and Matt Kusner from UCL is about fundamental challenges in making algorithms fair and how we might begin to address some of them with causal modeling approaches. One of our takeaways: not all problems can be solved with machine learning, so sometimes the right decision is to not build such a system at all.
There's unfortunately not much to read here yet...
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