| Automating Procedurally Fair Feature Selection in Machine Learning C Belitz, L Jiang, N Bosch Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 379-389, 2021 | 14 | 2021 |
| Constructing categories: Moving beyond protected classes in algorithmic fairness C Belitz, J Ocumpaugh, S Ritter, RS Baker, SE Fancsali, N Bosch Journal of the Association for Information Science and Technology 74 (6), 2022 | 13 | 2022 |
| Synthetic Dataset Generation for Fairer Unfairness Research L Jiang, C Belitz, N Bosch Proceedings of the 14th Learning Analytics and Knowledge Conference, 200-209, 2024 | 1 | 2024 |
| Hierarchical Dependencies in Classroom Settings Influence Algorithmic Bias Metrics C Belitz, HJ Lee, N Nasiar, SE Fancsali, S Ritter, H Almoubayyed, ... Proceedings of the 14th Learning Analytics and Knowledge Conference, 210-218, 2024 | | 2024 |
| Resisting data colonialism and digital surveillance in a midwestern classroom: Exploring community-driven alternatives to Automated License Plate Readers Y Chamee, G Balasubramaniam, C Belitz, AS Chan Resisting Data Colonialism: A Practical Intervention, 81-86, 2023 | | 2023 |
