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A Classification of Feedback Loops and Their Relation to Biases in
  Automated Decision-Making Systems

A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems

10 May 2023
Nicolò Pagan
Joachim Baumann
Ezzat Elokda
Giulia De Pasquale
S. Bolognani
Anikó Hannák
ArXivPDFHTML

Papers citing "A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems"

4 / 4 papers shown
Title
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
Joachim Baumann
Celestine Mendler-Dünner
73
2
0
17 Jan 2025
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems
Yining She
Sumon Biswas
Christian Kastner
Eunsuk Kang
40
0
0
03 Jan 2025
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,143
0
23 Aug 2019
How Algorithmic Confounding in Recommendation Systems Increases
  Homogeneity and Decreases Utility
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility
A. Chaney
Brandon M Stewart
Barbara E. Engelhardt
CML
161
312
0
30 Oct 2017
1