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> In the world of fair machine learning, "What are the right criteria for fairness under [set of circumstances]?" is usually not easily answerable

There is nothing particularly machine learning specific about this. If I want to design an AI to detect bank fraud, you're right that I want to do cross-disciplinary research in its design, but I do not understand what AI ethicists would add to that.

My disagreement is not that AI will involve itself in other fields, and in the process we need to learn about those fields. It's with the idea that either those people should be talking about the raw technology or that there should be a general field about how AI specifically relates to the sum of every other field.

> The commonality here is you care about understanding or predicting the empirical behavior of machine learning systems interacting with the real world, especially with humans.

Which is just the technical domain of AI research. Narrowing it down to the commonalities has removed all of the interesting points we were going to study!

I agree that when AI is added to the social systems or the stock market, we need to involve people versed in social systems or the stock market. I still do not see why they cannot collaborate in exactly the same way that they have already. The only difference visible to me is that that the hammers are bigger.



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