5 Comments
Aug 4, 2022Liked by Gad Allon

Totally agree with the collaboration of algorithm and human can bring the most benefits. However, do you think that once the algorithm is strong enough, like it has the database of extreme situations like festivals and will adjust automatically to it. Do we still need people to intervene or supervise algorithm?

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Aug 1, 2022Liked by Gad Allon

Providing model explainability/interpretability should also help reduce model aversion since the humans can see the top drivers for a given recommendation. Such increased transparency can also allow humans to provide targeted feedback on model performance.

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