Publications

Publications and preprints that came out of this project. Project members are highlighted.

2023

  1. On Prediction-Modelers and Decision-Makers: Why Fairness Requires More Than a Fair Prediction Model
    Scantamburlo, Teresa, Baumann, Joachim, and Heitz, Christoph
    (2023)
  2. Fairness and Risk: An Ethical Argument for a Group Fairness Definition Insurers Can Use
    Baumann, Joachim, and Loi, Michele
    Philosophy & Technology (2023)
  3. FairnessLab: A Consequence-Sensitive Bias Audit and Mitigation Toolkit
    Hertweck, Corinna, Baumann, Joachim, Loi, Michele, and Heitz, Christoph
    Proceedings of the 2nd European Workshop on Algorithmic Fairness (EWAF’23) (2023)
  4. Unification, Extension, and Interpretation of Group Fairness Metrics for ML-Based Decision-Making
    Baumann, Joachim, Hertweck, Corinna, Loi, Michele, and Heitz, Christoph
    Proceedings of the 2nd European Workshop on Algorithmic Fairness (EWAF’23) (2023)
  5. An Open-Source Toolkit to Generate Biased Datasets
    Baumann, Joachim, Castelnovo, Alessandro, Crupi, Riccardo, Inverardi, Nicole, and Regoli, Daniele
    Proceedings of the 2nd European Workshop on Algorithmic Fairness (EWAF’23) (2023)
  6. Fair Machine Learning Through Post-processing: The Case of Predictive Parity
    Baumann, Joachim, Hannák, Anikó, and Heitz, Christoph
    Proceedings of the 2nd European Workshop on Algorithmic Fairness (EWAF’23) (2023)
  7. Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias
    Baumann, Joachim, Castelnovo, Alessandro, Crupi, Riccardo, Inverardi, Nicole, and Regoli, Daniele
    In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (2023)
  8. I win it’s fair, you win it’s not. Selective heeding of merit in ambiguous settings
    Kandul, Serhiy, and Nikolaychuk, Olexandr
    PLOS ONE (2023)

2022

  1. Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics
    Baumann, Joachim, Hertweck, Corinna, Loi, Michele, and Heitz, Christoph
    (2022)
  2. A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs
    Hertweck, Corinna, Baumann, Joachim, Loi, Michele, Viganò, Eleonora, and Heitz, Christoph
    (2022)
  3. Perceptions of Efficiency vs. Fairness Tradeoffs in Algorithm-based HR Selection: Insights from Two Online Experiments
    Kandul, Serhiy, and Leicht-Deobald, Ulrich
    (2022)
  4. Is calibration a fairness requirement? An argument from the point of view of moral philosophy and decision theory.
    Loi, Michele, and Heitz, Christoph
    In Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency (2022)
  5. Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under Sufficiency
    Baumann, Joachim, Hannák, Anikó, and Heitz, Christoph
    In Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency (2022)
  6. People Are Not Coins: Morally Distinct Types of Predictions Necessitate Different Fairness Constraints
    Viganò, Eleonora, Hertweck, Corinna, Heitz, Christoph, and Loi, Michele
    In Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency (2022)
  7. Group Fairness in Prediction-Based Decision Making: From Moral Assessment to Implementation
    Baumann, Joachim, and Heitz, Christoph
    In 2022 9th Swiss Conference on Data Science (SDS) (2022)
  8. Gradual (In)Compatibility of Fairness Criteria
    Hertweck, Corinna, and Räz, Tim
    In Proceedings of the 36th AAAI Conference on Artificial Intelligence (2022)

2021

  1. A Systematic Approach to Group Fairness in Automated Decision Making
    Hertweck, Corinna, and Heitz, Christoph
    In 2021 8th Swiss Conference on Data Science (SDS) (2021)
    ELSI award
  2. Discrimination for the Sake of Fairness: Fairness by Design and Its Legal Framework
    Hoch, Holly, Hertweck, Corinna, Loi, Michele, and Tamò, Aurelia
    SSRN (2021)
  3. Group Fairness: Independence Revisited
    Räz, Tim
    In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (2021)
  4. On the Moral Justification of Statistical Parity
    Hertweck, Corinna, Heitz, Christoph, and Loi, Michele
    In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (2021)