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Interpretable Active Learning.

, , and . FAT, volume 81 of Proceedings of Machine Learning Research, page 49-61. PMLR, (2018)

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Optimizing Society? Ensuring Fairness in Automated Decision-Making (Invited Talk).. SWAT, volume 101 of LIPIcs, page 2:1-2:1. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2018)Interpretable Active Learning., , and . FAT, volume 81 of Proceedings of Machine Learning Research, page 49-61. PMLR, (2018)Fairness warnings and fair-MAML: learning fairly with minimal data., , and . FAT*, page 200-209. ACM, (2020)Runaway Feedback Loops in Predictive Policing., , , , and . CoRR, (2017)Shapley Residuals: Quantifying the limits of the Shapley value for explanations., , , and . NeurIPS, page 26598-26608. (2021)Fairness and Abstraction in Sociotechnical Systems., , , , and . FAT, page 59-68. ACM, (2019)A comparative study of fairness-enhancing interventions in machine learning., , , , , and . FAT, page 329-338. ACM, (2019)Problems with Shapley-value-based explanations as feature importance measures., , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 5491-5500. PMLR, (2020)Enabling teachers to explore grade patterns to identify individual needs and promote fairer student assessment., , , and . Comput. Educ., 51 (4): 1467-1485 (2008)Interpretable Active Learning., , and . CoRR, (2017)