Setting fairness goals with the TensorFlow constrained optimization library

Re:Setting fairness goals with the TensorFlow constrained op... by antpls on Sunday February 23, 2020 @04:07AM (#22395884)

Question : In the last chart, we can see the constrained model reduces the FPR for both categories, old and young. However the "old" category still has more than 2 times the FPR of the young category, how did it make the model fairer? (I would imagine an equal FPR between both categories for it to be fair)

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Re:Setting fairness goals with the TensorFlow constrained op... by Eridrus on Sunday February 23, 2020 @10:10AM (#22397143)

As linked in the comments above, there are a lot of different ways to define fairness and it is impossible to satisfy them all at once.

One way you could argue this example is fairer: the gap used to be ~10%, now it is ~5%.

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