relevant Papers
Holstein, K. & Doroudi, S. (To appear). Fairness and equity in learning analytics systems (FairLAK). To appear in Companion Proceedings of the Ninth International Learning Analytics & Knowledge Conference (LAK’19). ACM.
Cramer, H., Holstein, K., Wortman Vaughan, J., Daumé III, H., Dudík, M., Wallach, H., Reddy, S., & Garcia-Gathright, J. (To appear). Challenges of incorporating algorithmic fairness into industry practice. To appear in the ACM Conference on Fairness, Accountability, and Transparency (FAT* 2019).
brief clips from Replay enactments (RE) Sessions

Talks
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