Fairness in Algorithmic Profiling: A German Case Study

Type: Preprint

Publication Date: 2021-01-01

Citations: 5

DOI: https://doi.org/10.48550/arxiv.2108.04134

Locations

  • arXiv (Cornell University) - View
  • DataCite API - View

Similar Works

Action Title Year Authors
+ PDF Chat When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes 2024 Christoph Kern
Ruben L. Bach
Hannah Mautner
Frauke Kreuter
+ PDF Chat The impact of modeling decisions in statistical profiling 2023 Ruben L. Bach
Christoph Kern
Hannah Mautner
Frauke Kreuter
+ (in) Accuracy in Algorithmic Profiling of the Unemployed – An Exploratory Review of Reporting Standards 2023 Patrick Gallagher
Ray Griffin
+ PDF Chat Statistical profiling in public employment services 2019 Sam Desiere
Kristine Langenbucher
Ludo Struyven
+ Performativity and Prospective Fairness 2023 Sebastian Zezulka
Konstantin Genin
+ PDF Chat From the Fair Distribution of Predictions to the Fair Distribution of Social Goods: Evaluating the Impact of Fair Machine Learning on Long-Term Unemployment 2024 Sebastian Zezulka
Konstantin Genin
+ Mitigating Bias in Algorithmic Employment Screening: Evaluating Claims and Practices. 2019 Manish Raghavan
Solon Barocas
Jon Kleinberg
Karen Levy
+ Mitigating bias in algorithmic hiring 2020 Manish Raghavan
Solon Barocas
Jon Kleinberg
Karen Levy
+ Mitigating bias in algorithmic hiring: evaluating claims and practices 2020 Manish Raghavan
Solon Barocas
Jon Kleinberg
Karen Levy
+ Why Fair Automated Hiring Systems Breach EU Non-Discrimination Law 2023 Robert Lee Poe
+ PDF Chat Modelling the long-term fairness dynamics of data-driven targeted help on job seekers 2023 Sebastian Scher
Simone Kopeinik
Andreas Trügler
Dominik Kowald
+ Modelling the long-term fairness dynamics of data-driven targeted help on job seekers 2022 Sebastian Scher
Simone Kopeinik
Andreas Trügler
Dominik Kowald
+ Fairness and Bias in Algorithmic Hiring 2023 Alessandro Fabris
Nina Baranowska
Matthew Dennis
Philipp Hacker
Jorge Saldivar
Frederik Zuiderveen Borgesius
Asia J. Biega
+ Fairness-aware machine learning: a perspective 2017 Indrė Žliobaitė
+ Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in Child Abuse Hotline Screening 2022 Lingwei Cheng
Alexandra Chouldechova
+ PDF Chat Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in Child Abuse Hotline Screening 2022 Lingwei Cheng
Alexandra Chouldechova
+ Pitfalls of Machine Learning based Personnel Selection - Fairness, Transparency and Data Quality 2021 David Goretzko
Laura Israël
+ On the Applicability of ML Fairness Notions. 2020 Karima Makhlouf
Sami Zhioua
Catuscia Palamidessi
+ Algorithmic and Economic Perspectives on Fairness. 2019 David C. Parkes
Rakesh Vohra
+ On the Applicability of Machine Learning Fairness Notions 2021 Karima Makhlouf
Sami Zhioua
Catuscia Palamidessi