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