I am an Assistant Professor in the Human-Computer Interaction Institute at Carnegie Mellon University, where I direct the CMU CoALA Lab.
My research focuses broadly on human-AI collaboration and participatory design. I draw on approaches from human–computer interaction (HCI), AI, design, cognitive science, learning sciences, statistics, and machine learning. You can find my publications on my Google Scholar page and my CV. If you’d like to know more about my work or explore opportunities for collaboration, please get in touch!
Representative papers

Holstein, K., Wortman Vaughan, J., Daumé III, H., Dudík, M., Wallach, H. (2019). Improving fairness in machine learning systems: What do industry practitioners need?  In Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (CHI’19). (p. 600). ACM.  
[ACM]   [supp. materials]   [pdf]
Holstein, K., McLaren, B. M., & Aleven, V.  (2018). Student learning benefits of a mixed-reality teacher awareness tool in AI-enhanced classrooms. In Proceedings of the 19th International Conference on Artificial Intelligence in Education (AIED 2018). LNAI 10947 (pp. 154-168). Springer: Berlin.  
*Best Paper Award*   [pdf]

Holstein, K., McLaren, B. M. & Aleven, V.  (2019). Co-designing a real-time classroom orchestration tool to support teacher–AI complementarity. Journal of Learning Analytics (JLA), 6(2), 27-52. 
[link]   [pdf]
Holstein, K.*, Harpstead, E.*, Gulotta, R., & Forlizzi, J. (2020). Replay Enactments: Exploring possible futures through historical data. In Proceedings of the 2020 Designing Interactive Systems Conference (DIS’20) (pp. 1607-1618). ACM.   [ACM]   [pdf]