6 ms·

See also Stucchio's impossibility theorem: it is impossible for a given algorithm to be procedurally fair, representationally fair, and utilitarian at the same

• AstralStorm 7y ago
  The general point is that you have to robustly compromise and satisfice all the goals. People tend to be rather good at it when taken as a group. (Any particular person may be bad at a given subset of all problems.) It is a kind of optimality condition on all three goals. The robustness additionally means that should conditions change, the algorithm usually will become better not worse and should a degradation still happen, it will be graceful and not catastrophical. It's a hard and open problem in ML and especially ANN, design of robust solutions in the space. Most have really bad problems with it even when debiased.
  • sgt101 7y ago
    Hello - do you have a good reference to this area? I bang on about similar ideas whenever allowed, but haven't found good support in the literature. Not that I mind that too much!
• missosoup 7y ago
  Good presentation