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Entitlement Fairness Section Feedback#8

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@Espeer5 Espeer5 commented Feb 13, 2025

The main, meaty part of the paper this time.

As usual, see the fully rendered PDF here.

@Espeer5 Espeer5 added the Feedback PR PRs used to provide feedback on sections of writing label Feb 13, 2025
@Espeer5 Espeer5 self-assigned this Feb 13, 2025
In the previous sections, we have shown the difficulty of connecting the
philosophy of distributive justice to the practice of algorithmic fairness.
Despite assertions in the literature that specific fairness measures relate to
egalitarianism, we have shown that connections don't hold up under scrutiny. This
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My memory is failing me -- have I seen this discussion that egalitarianism is not well connected to fairness measures?

error is not distributed equally across the population, then we will
consistently learn false information about a particular group which will lead to
systemic errors in predicting property rights across groups. Therefore, each
predictor must be evaluated using equalized odds fairness.
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ok, but how do you handle different risk distributions? You are going to have to reduce predictive accuracy (in terms of calibration) if you want to ensure equalized odds.

an entitlement rule which determines whether or not an individual is
entitled to a property.
\item The decision step satisfies a form of counterfactual fairness under
which the decision step is independent of features not in $F$.
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Where is counterfactual fairness coming from? You have not discussed it in any detail that I have seen. I is also not obvious to me that you can satisfy all these conditions at once.

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