| Policy advice and best practices on bias and fairness in AI JM Alvarez, AB Colmenarejo, A Elobaid, S Fabbrizzi, M Fahimi, A Ferrara, ... Ethics and Information Technology 26 (2), 31, 2024 | 29 | 2024 |
| Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems C Mougan, D Masip, J Nin, O Pujol Springer International Publishing - Modeling Decisions for Artificial …, 2021 | 20 | 2021 |
| Fairness implications of encoding protected categorical attributes C Mougan, JM Álvarez, S Ruggieri, S Staab Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 454-465, 2023 | 16 | 2023 |
| Monitoring model deterioration with explainable uncertainty estimation via non-parametric bootstrap C Mougan, DS Nielsen Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 15037 …, 2023 | 16* | 2023 |
| Desiderata for Explainable AI in statistical production systems of the European Central Bank C Mougan, G Kanellos, T Gottron Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 13 | 2021 |
| Explanation Shift: How Did the Distribution Shift Impact the Model? C Mougan, K Broelemann, D Masip, G Kasneci, T Thiropanis, S Staab arXiv preprint arXiv:2303.08081, 2023 | 12* | 2023 |
| The role of large language models in the recognition of territorial sovereignty: An analysis of the construction of legitimacy F Castillo-Eslava, C Mougan, A Romero-Reche, S Staab arXiv preprint arXiv:2304.06030, 2023 | 5 | 2023 |
| Necessity of Processing Sensitive Data for Bias Detection and Monitoring: A Techno-Legal Exploration I Papageorgiou, C Mougan NeurIPS 2023 Workshop on Regulatable ML, 2023 | 4 | 2023 |
| Introducing explainable supervised machine learning into interactive feedback loops for statistical production systems T Gottron, G Kanellos, J Micheler, J Martínez, C Mougan Bank for International Settlements, 2023 | 4* | 2023 |
| Integration of Generative AI in the Digital Markets Act: Contestability and Fairness from a Cross-Disciplinary Perspective AG Yasar, A Chong, E Dong, T Gilbert, S Hladikova, C Mougan, X Shen, ... LSE Legal Studies Working Paper, 2024 | 2 | 2024 |
| How to data in datathons C Mougan, R Plant, C Teng, M Bazzi, A Cabrejas Egea, R Chan, ... Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Kantian Deontology Meets AI Alignment: Towards Morally Robust Fairness Metrics C Mougan, J Brand arXiv preprint arXiv:2311.05227, 2023 | 2 | 2023 |
| Beyond Demographic Parity: Redefining Equal Treatment C Mougan, L State, A Ferrara, S Ruggieri, S Staab arXiv preprint arXiv:2303.08040, 2023 | 2 | 2023 |
| Data Study Group Network Final Report: Bristol City Council (Get Bristol moving: tackling air pollution in Bristol city centre) C Mougan, Q Fu, J Kolath, H Tong, S Dixit, L Geffert, H Shin, A Abd Rabuh, ... Turing Network Data Study Group Bristol, 2020 | 2 | 2020 |
| Model Agnostic Explainable Selective Regression via Uncertainty Estimation A Pugnana, C Mougan, DS Nielsen arXiv preprint arXiv:2311.09145, 2023 | 1 | 2023 |
| AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI AG Yasar, A Chong, E Dong, TK Gilbert, S Hladikova, R Maio, C Mougan, ... ICML GenLaw Workshop 2023, 2023 | 1* | 2023 |
| Moral Persuasion in Large Language Models: Evaluating Susceptibility and Ethical Alignment A Huang, YN Pi, C Mougan arXiv preprint arXiv:2411.11731, 2024 | | 2024 |
| ‘Frontier AI,’Power, and the Public Interest: Who Benefits, Who Decides? D Leslie, C Ashurst, NM González, F Griffiths, S Jayadeva, M Jorgensen, ... Harvard Data Science Review, 2024 | | 2024 |
| Kantian Deontology Meets AI Alignment: Towards Morally Grounded Fairness Metrics C Mougan, J Brand arXiv preprint arXiv:2311.05227, 2023 | | 2023 |
| Feature Generation with Gradient Boosted Decision Trees C Mougan Towards Data Science, 2021 | | 2021 |
Steffen StaabWAIS, University of Southampton, UK & Analytic Computing, Universität Stuttgart, DEVerified email at ki.uni-stuttgart.de
