Effects of Matching on Evaluation of Accuracy, Fairness, and Fairness Impossibility in AI-ML Systems
“Matching” procedures in statistics involve construction of datasets with similar covariates between compared groups. Matching has recently been proposed as a means of addressing fairness impossibility (i.e. inconsistency of fairness metrics) in AI and ML systems: Beigang argues on conceptual ground...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
LibraryPress@UF
2024-05-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Subjects: | |
| Online Access: | https://journals.flvc.org/FLAIRS/article/view/135585 |
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