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Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay
  of Human and Algorithmic Biases in Online Hiring

Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring

1 December 2020
Tom Sühr
Sophie Hilgard
Himabindu Lakkaraju
ArXivPDFHTML

Papers citing "Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring"

3 / 3 papers shown
Title
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
Yashar Deldjoo
Tommaso Di Noia
105
21
0
24 Feb 2025
Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in
  Child Abuse Hotline Screening
Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in Child Abuse Hotline Screening
Ling-chi Cheng
Alexandra Chouldechova
32
13
0
12 Apr 2022
An External Stability Audit Framework to Test the Validity of
  Personality Prediction in AI Hiring
An External Stability Audit Framework to Test the Validity of Personality Prediction in AI Hiring
Alene K. Rhea
K. Markey
L. D’Arinzo
Hilke Schellmann
Mona Sloane
Paul Squires
Falaah Arif Khan
Julia Stoyanovich
MLAU
30
19
0
23 Jan 2022
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