"Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey."

Alessandro Fabris et al. (2025)

> Home

Details and statistics

DOI: 10.1145/3696457

access: closed

type: Journal Article

metadata version: 2025-03-07

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tist/FabrisBDGHSBB25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tist/FabrisBDGHSBB25
Alessandro Fabris, Nina Baranowska, Matthew J. Dennis, David Graus, Philipp Hacker, Jorge Saldivar, Frederik J. Zuiderveen Borgesius, Asia J. Biega:
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey. ACM Trans. Intell. Syst. Technol. 16(1): 16:1-16:54 (2025)

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.