An Impossibility Theorem for Base Rate Tracking and Equalised Odds

Analysis (forthcoming)
  Copy   BIBTEX

Abstract

There is a theorem that shows that it is impossible for an algorithm to jointly satisfy the statistical fairness criteria of Calibration and Equalised Odds non-trivially. But what about the recently advocated alternative to Calibration, Base Rate Tracking? Here, we show that Base Rate Tracking is strictly weaker than Calibration, and then take up the question of whether it is possible to jointly satisfy Base Rate Tracking and Equalised Odds in non-trivial scenarios. We show that it is not, thereby establishing an even more general impossibility theorem.

Author Profiles

Benjamin Eva
Duke University
Reuben Stern
Duke University
Shanna Slank
University of North Carolina, Chapel Hill
1 more

Analytics

Added to PP
2024-02-12

Downloads
140 (#80,053)

6 months
140 (#23,795)

Historical graph of downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.
How can I increase my downloads?