| Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under Sufficiency J Baumann, A Hannák, C Heitz 2022 ACM Conference on Fairness, Accountability, and Transparency, 2315 - 2326, 2022 | 19 | 2022 |
| A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems N Pagan, J Baumann, E Elokda, G De Pasquale, S Bolognani, A Hannák Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms …, 2023 | 13 | 2023 |
| Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias J Baumann, A Castelnovo, R Crupi, N Inverardi, D Regoli Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 10 | 2023 |
| Group Fairness in Prediction-Based Decision Making: From Moral Assessment to Implementation J Baumann, C Heitz 2022 9th Swiss Conference on Data Science (SDS), 19-25, 2022 | 9 | 2022 |
| Fairness and Risk: An Ethical Argument for a Group Fairness Definition Insurers Can Use J Baumann, M Loi Philosophy & Technology 36 (3), 45, 2023 | 8 | 2023 |
| Distributive justice as the foundational premise of fair ML: Unification, extension, and interpretation of group fairness metrics J Baumann, C Hertweck, M Loi, C Heitz arXiv preprint arXiv:2206.02897, 2022 | 8 | 2022 |
| Dealers of Peaches and Lemons: How Can Used Car Dealers Use Trusted Car Data to Create Value? J Baumann, L Zavolokina, G Schwabe 54th Hawaii International Conference on System Sciences (HICSS-54), 5409-5418, 2021 | 5* | 2021 |
| A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs C Hertweck, J Baumann, M Loi, E Viganò, C Heitz arXiv preprint arXiv:2206.02891, 2022 | 3 | 2022 |
| Bias On Demand: Investigating Bias with a Synthetic Data Generator J Baumann, A Castelnovo, A Cosentini, R Crupi, N Inverardi, D Regoli Proceedings of the Thirty-Second International Joint Conference on …, 2023 | 1 | 2023 |
| FairnessLab: A Consequence-Sensitive Bias Audit and Mitigation Toolkit C Hertweck, J Baumann, M Loi, C Heitz Proceedings of the 2nd European Workshop on Algorithmic Fairness (EWAF'23), 2023 | 1 | 2023 |
| Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists J Baumann, C Mendler-Dünner arXiv preprint arXiv:2404.04269, 2024 | | 2024 |
| Preventing Eviction-Caused Homelessness through ML-Informed Distribution of Rental Assistance C Vajiac, A Frey, J Baumann, A Smith, K Amarasinghe, A Lai, K Rodolfa, ... Proceedings of the AAAI Conference on Artificial Intelligence 2024, 2024 | | 2024 |
| On prediction-modelers and decision-makers: why fairness requires more than a fair prediction model T Scantamburlo, J Baumann, C Heitz AI & SOCIETY, 1-17, 2024 | | 2024 |
| Closing the Loop: Feedback Loops and Biases in Automated Decision-Making N Pagan, J Baumann, E Elokda, G De Pasquale, S Bolognani, A Hannák Proceedings of the 2nd European Workshop on Algorithmic Fairness (EWAF'23), 2023 | | 2023 |
| Unification, Extension, and Interpretation of Group Fairness Metrics for ML-Based Decision-Making J Baumann, C Hertweck, M Loi, C Heitz Proceedings of the 2nd European Workshop on Algorithmic Fairness (EWAF'23), 2023 | | 2023 |
Christoph HeitzZurich University of Applied SciencesVerified email at zhaw.ch
