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I've happen to be in that workshop room and had chosen the 2% robot, not the 15% surgeon. If I remember correctly, the point of the question was determining wil
by dchichkov 7y ago
I've happen to be in that workshop room and had chosen the 2% robot, not the 15% surgeon. If I remember correctly, the point of the question was determining willingness of society to use black box models, not challenging the need for models interpretability.
Interpretability obviously doesn't hurt accuracy. But it is costly to engineer. And not always possible to make. Not always possible, because human capacity (and willingness to put in the effort) into understanding the explanation is limited.
- 1_over_n 7y ago>> Interpretability obviously doesn't hurt accuracy. Why do you say this? From what i have seen it certainly can and does. For some industries finding a trade off where the magic is. https://link.springer.com/article/10.1007/s10664-018-9638-1 https://link.springer.com/article/10.1007/s10664-018-9638-1 https://www.oreilly.com/ideas/predictive-modeling-striking-a-balance-between-accuracy-and-interpretability https://www.oreilly.com/ideas/predictive-modeling-striking-a...
- dchichkov 7y agoYou can take nearly any black box model and add some interpretability into it, without modifying this model. No modifications to the model, so accuracy stays the same.