| On the moral justification of statistical parity C Hertweck, C Heitz, M Loi Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 62 | 2021 |
| Bias, awareness, and ignorance in deep-learning-based face recognition S Wehrli, C Hertweck, M Amirian, S Glüge, T Stadelmann AI and Ethics 2 (3), 509-522, 2022 | 20 | 2022 |
| Gradual (in) compatibility of fairness criteria C Hertweck, T Räz Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 11926 …, 2022 | 9 | 2022 |
| 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 |
| Methods for uncovering discourses that shape the urban imaginary in Helsinki's smart city S Zaman, C Hertweck Frontiers in Sustainable Cities 4, 796469, 2022 | 5 | 2022 |
| People are not coins: Morally distinct types of predictions necessitate different fairness constraints E Viganò, C Hertweck, C Heitz, M Loi Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 4 | 2022 |
| Discrimination for the sake of fairness by design and its legal framework H Hoch, C Hertweck, M Loi, A Tamò-Larrieux Computer Law & Security Review 52, 105916, 2024 | 3* | 2024 |
| 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 |
| A systematic approach to group fairness in automated decision making C Hertweck, C Heitz 2021 8th Swiss Conference on Data Science (SDS), 1-6, 2021 | 2 | 2021 |
| 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 |
| Designing Affirmative Action Policies under Uncertainty. C Hertweck, C Castillo, M Mathioudakis Journal of Learning Analytics 9 (2), 121-137, 2022 | 1 | 2022 |
| Unification, Extension, and Interpretation of Group Fairness Metrics for ML-Based Decision-Making J Baumann, C Hertweck, M Loi, C Heitz | | 2023 |
| Towards Data-Driven Affirmative Action Policies under Uncertainty C Hertweck, C Castillo, M Mathioudakis arXiv preprint arXiv:2007.01202, 2020 | | 2020 |
Michele LoiPolitecnico di MilanoVerified email at polimi.it
