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 | 20 | 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 | 17 | 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 | 4 | 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 | 4 | 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 | 2 | 2023 |
XAI Reveals the Causes of Attention Deficit Hyperactivity Disorder (ADHD) Bias in Student Performance Prediction HJ Lee, C Belitz, N Nasiar, N Bosch | | 2025 |
Prediction and Punishment: Critical Report on Carceral AI D Pruss, H Pullen-Blasnik, N Stevens, S Rahman, C Belitz, L Stapleton, ... | | 2024 |
Bridging Informational Divides: A Community-Centered Analysis of “Public Safety” Surveillance Technology GS Balasubramaniam, C Belitz, AS Chan Extended Abstracts of the CHI Conference on Human Factors in Computing …, 2024 | | 2024 |