Personal website for Clara Belitz, PhD student in Information Science at University of Illinois Urbana-Champaign.
Here you can find links to my past and ongoing research projects, as well as PDFs of published work.
Strengthening our Resolve: AI ethical standards and resolving to make ethical AI decisions C.M. Pierson, A. Zalot, K. Jones, C. Belitz, J. Burgess, S. Lilley Proceedings of the ALISE Annual Conference 2025 pp. 1-2 DOI
Fair for whom? Investigating school identity, algorithmic fairness, and educational technologies C. Belitz Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED, pp. 291-296 DOI
Fair4AIED 2025: First international workshop on fairness in algorithmic decision-making for education C. Belitz, N. Bosch, L. Jiang, I. Jivet, B. Kirouchenassamy, H. Lee, B. Leporini, F. M. Malloci, M. Marras, D. Rotelli, F. Stinar Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED, pp. 308-314 DOI
Exploring student identity in adaptive learning systems through qualitative data C. Belitz, H. Lee, N. Nasiar, S. E. Fancsali, F. Stinar, H. Almoubayyed, S. Ritter, R. Baker, J. Ocumpaugh, N. Bosch Proceedings of the 26th International Conference on Artificial Intelligence in Education (AIED 2025), pp. 356-363 DOI
Fairness of Bayesian knowledge tracing for math learners of different reading ability F. Stinar, H. Lee, C. Belitz, N. Nasiar, S. E. Fancsali, S. Ritter, H. Almoubayyed, R. S. Baker, J. Ocumpaugh, N. Bosch Proceedings of the 18th International Conference on Educational Data Mining (EDM 2025), pp. 170-181 DOI. Best paper nominee.
XAI reveals the causes of attention deficit hyperactivity disorder (ADHD) bias in student performance prediction H. Lee, C. Belitz, N. Nasiar, N. Bosch Proceedings of the 15th Learning Analytics and Knowledge Conference (LAK ‘25), pp. 418-428 DOI
Hierarchical dependencies in classroom settings influence algorithmic bias metrics C. Belitz, H. Lee, N. Nasiar, S. E. Fancsali, S. Ritter, H. Almoubayyed, R. S. Baker, J. Ocumpaugh, N. Bosch Proceedings of the 14th International Conference on Learning Analytics & Knowledge (LAK ‘24), pp 210–218. DOI
Synthetic dataset generation for fairer unfairness research L. Jiang, C. Belitz, N. Bosch Proceedings of the 14th International Conference on Learning Analytics & Knowledge (LAK ‘24), pp 200–209. DOI
Bridging Informational Divides: A Community-Centered Analysis of “Public Safety” Surveillance Technology G. Balasubramaniam*, C. Belitz*, A.S. Chan (*indicates equal contributions) Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems (CHI EA ‘24), Article No.: 550. DOI
Prediction and Punishment: Critical Report on Carceral AI D. Pruss, H. Pullen-Blasnik, N. Stevens, S. Rahman, C. Belitz, L. Stapleton, M.G. Dharmaraj, M. Aizeki, P. Molnar, A. Pinch, N. Ryan, T. Lima, D.G. Widder, A. Tiwari, L.X. Zhǎngsūn, J.S. Sexton, P. Nunes DOI
Resisting data colonialism and digital surveillance in a midwestern classroom: Exploring community-driven alternatives to Automated License Plate Readers. C. Yang, G. Balasubramaniam, C. Belitz, and A.S. Chan. In Resisting Data Colonialism: A Practical Intervention. Institute of Network Cultures, Amsterdam, 81–86.
Automated License Plate Readers (ALPRs): Surveillance & Policing pp. 6 Link
Constructing categories: Moving beyond protected classes in algorithmic fairness C. Belitz, J. Ocumpaugh, S. Ritter, R. S. Baker, S. E. Fancsali, N. Bosch. Journal of the Association for Information Science and Technology, 74(6), 663-668 DOI
Automating procedurally fair feature selection in machine learning C. Belitz, L. Jiang, N. Bosch. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AIES ‘21), pp. 379-389. DOI