Base-5 Fairness in AI

Just a short note as I’m delivering three days of lecture to executive MBAs-to-be on, among others, this subject:
Fairness in AI is beyond mere (??) debiasing training data like here.
It’s more about: waddyamean, fairness? for which I happened to have found a very good overview [plus dabbling tool] here. When one cannot per se decide on principle, what happen with development of proper systems …?

I don’t know. Neither do you. And:

[Art, another difficult definition thing; Smithsonian DC]

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