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Bias, Consistency, and Partisanship in U.S. Asylum Cases: A Machine Learning Analysis of Extraneous Factors in Immigration Court Decisions
In this study, we introduce a novel two-pronged scoring system to measure individual and systemic bias in immigration courts under the U. S. Executive Office of Immigration Review (EOIR).
Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection
We also find text and demographic outliers to be particularly susceptible to errors in the classification of severe toxicity and identity attacks.
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