The statistical fairness field guide: perspectives from social and formal sciences
نویسندگان
چکیده
Abstract Over the past several years, a multitude of methods to measure fairness machine learning model have been proposed. However, despite growing number publications and implementations, there is still critical lack literature that explains interplay fair with social sciences philosophy, sociology, law. We hope remedy this issue by accumulating expounding upon thoughts discussions produced both formal (i.e., statistics) in field guide. Specifically, addition giving mathematical algorithmic backgrounds popular statistics-based metrics used learning, we explain underlying philosophical legal support them. Furthermore, explore criticisms current approaches from sociological, philosophical, viewpoints. It our guide helps practitioners identify remediate cases where algorithms violate human rights values.
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ژورنال
عنوان ژورنال: AI and ethics
سال: 2022
ISSN: ['2730-5953', '2730-5961']
DOI: https://doi.org/10.1007/s43681-022-00183-3