| LUCID: exposing algorithmic bias through inverse design C Mazijn, C Prunkl, A Algaba, J Danckaert, V Ginis Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14391 …, 2023 | 3 | 2023 |
| LUCID–GAN: Conditional Generative Models to Locate Unfairness A Algaba, C Mazijn, C Prunkl, J Danckaert, V Ginis World Conference on Explainable Artificial Intelligence, 346-367, 2023 | 2 | 2023 |
| How Do the Score Distributions of Subpopulations Influence Fairness Notions? C Mazijn, J Danckaert, V Ginis Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 767-776, 2021 | 1 | 2021 |
| Large Language Models Reflect Human Citation Patterns with a Heightened Citation Bias A Algaba, C Mazijn, V Holst, F Tori, S Wenmackers, V Ginis arXiv preprint arXiv:2405.15739, 2024 | | 2024 |
| Black box revelation: Interdisciplinary perspectives on bias in AI C Mazijn | | 2023 |
| Science Diplomacy in Development Cooperation - A qualitative research of the Belgian case C Mazijn https://5ec1837c-88ac-4ca1-b478-8bfae7f7f027.filesusr.com/ugd …, 2019 | | 2019 |
| Exposing Algorithmic Bias through Inverse Design C Mazijn, C Prunkl, A Algaba, J Danckaert, V Ginis | | |
Vincent GinisVrije Universiteit Brussel / Harvard UniversityVerified email at seas.harvard.edu
