Selected publications

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). ACM.  
[ACM]   [supp. materials]   [pdf]

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. & Doroudi, S. (2019). Fairness and equity in learning analytics systems (FairLAK). In Companion Proceedings of the Ninth International Learning Analytics & Knowledge Conference (LAK’19). ACM.
[workshop proceedings]

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]

Other relevant Publications
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 2019).   
*Best Paper and Best Student Paper Nominee*   [link]   [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). 
[link]   [pdf]

Holstein, K., Wortman Vaughan, J., Daumé III, H., Dudík, M., Wallach, H. (2018). Opportunities for machine learning research to support fairness in industry practice. In the 2018 Workshop on Critiquing and Correcting Trends in Machine Learning at the Conference on Neural Information Processing Systems (NeurIPS 2018).  

[pdf]   [poster]
Holstein, K. (2018). Towards Teacher-AI Hybrid Systems. In Companion Proceedings of the Eighth International Learning Analytics & Knowledge Conference. ACM.  
[pdf] 
Lucas, C. G., Holstein, K., & Kemp, C. (2014). Discovering hidden causes using statistical evidence. In Proceedings of the 36th Annual Conference of the Cognitive Science Society.  
[pdf]
Talks
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