Patty Hsieh

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Be aware of how your predictions differ across groups of people. Question whether your predictions reflect underlying causal relationships and if they are really as good as they seem to be. Balance the trade-off between system-wide risks and the benefit of doing everything a little bit better. And watch for bad actors who may query your prediction machines to copy them or even destroy them.
Prediction Machines: The Simple Economics of Artificial Intelligence
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