Holstein, K., McLaren, B. M. & Aleven, V. (2019). Designing for complementarity: Teacher and student needs for orchestration support in AI-enhanced classrooms. To appear in Proceedings of the 20th International Conference on Artificial Intelligence in Education (AIED’19).
Holstein, K., Wortman Vaughan, J., Daumé III, H., Dudík, M., Wallach, H. (2019). Improving fairness in machine learning systems: What do industry practitioners need? To appear in Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (CHI’19). ACM. [arXiv preprint]
Cramer, H., Holstein, K., Wortman Vaughan, J., Daumé III, H., Dudík, M., Wallach, H., Reddy, S., & Garcia-Gathright, J. (2019). Challenges of incorporating algorithmic fairness into industry practice. Tutorial at the ACM Conference on Fairness, Accountability, and Transparency (FAT* 2019). ACM. [tutorial website] [video recording]
Holstein, K., Hong, G., Tegene, M., McLaren, B. M., & Aleven, V. (2018). The Classroom as a Dashboard: Co-designing wearable cognitive augmentation for K-12 teachers. In Proceedings of the Eighth International Learning Analytics & Knowledge Conference (pp. 79-88). ACM. [link] [pdf]
brief clips from Replay enactments Sessions