"Fair When Trained, Unfair When Deployed: Observable Fairness Measures are ..."

Alan Mishler, Niccolò Dalmasso (2022)

> Home

Details and statistics

DOI: —

access: open

type: Informal or Other Publication

metadata version: 2022-03-01

- view
  - electronic edition @ arxiv.org (open access)
- export record
  dblp key:
  - journals/corr/abs-2202-05049
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2202-05049
Alan Mishler, Niccolò Dalmasso:
Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings. CoRR abs/2202.05049 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.