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Fairness in Algorithmic Profiling: A German Case Study

Fairness in Algorithmic Profiling: A German Case Study

4 August 2021
Christoph Kern
Ruben L. Bach
H. Mautner
Frauke Kreuter
ArXivPDFHTML

Papers citing "Fairness in Algorithmic Profiling: A German Case Study"

5 / 5 papers shown
Title
Connecting Algorithmic Fairness to Quality Dimensions in Machine
  Learning in Official Statistics and Survey Production
Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production
Patrick Oliver Schenk
Christoph Kern
FaML
31
0
0
14 Feb 2024
One Model Many Scores: Using Multiverse Analysis to Prevent Fairness
  Hacking and Evaluate the Influence of Model Design Decisions
One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions
Jan Simson
Florian Pfisterer
Christoph Kern
27
12
0
31 Aug 2023
Uncertainty-aware predictive modeling for fair data-driven decisions
Uncertainty-aware predictive modeling for fair data-driven decisions
Patrick Kaiser
Christoph Kern
David Rügamer
FaML
32
5
0
04 Nov 2022
Distributive Justice and Fairness Metrics in Automated Decision-making:
  How Much Overlap Is There?
Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There?
M. Kuppler
Christoph Kern
Ruben L. Bach
Frauke Kreuter
FaML
30
19
0
04 May 2021
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
323
4,212
0
23 Aug 2019
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