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Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability., and . EC, page 807-808. ACM, (2019)Dissecting Racial Bias in an Algorithm that Guides Health Decisions for 70 Million People., and . FAT, page 89. ACM, (2019)Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 4585-4594. PMLR, (2019)Algorithmic Fairness and the Social Welfare Function.. EC, page 1. ACM, (2018)Resource Bounds and Combinations of Consensus Objects., and . PODC, page 133-143. ACM, (1993)Simplicity creates inequity: implications for fairness, stereotypes, and interpretability (invited paper)., and . STOC, page 7. ACM, (2021)Assessing Human Error Against a Benchmark of Perfection., , and . KDD, page 705-714. ACM, (2016)Direct Uncertainty Prediction with Applications to Healthcare., , , , , and . CoRR, (2018)Bugbears or legitimate threats?: (social) scientists' criticisms of machine learning?. KDD, page 4. ACM, (2014)Are Emily and Greg More Employable than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination, and . Working Paper, 9873. National Bureau of Economic Research, (July 2003)