June 10, 2024, 4:46 a.m. | Jiahui Wu, Vanessa Frias-Martinez

cs.LG updates on arXiv.org arxiv.org

arXiv:2406.04382v1 Announce Type: cross
Abstract: Deep learning crime predictive tools use past crime data and additional behavioral datasets to forecast future crimes. Nevertheless, these tools have been shown to suffer from unfair predictions across minority racial and ethnic groups. Current approaches to address this unfairness generally propose either pre-processing methods that mitigate the bias in the training datasets by applying corrections to crime counts based on domain knowledge or in-processing methods that are implemented as fairness regularizers to optimize for …

abstract arxiv crime cs.ai cs.cy cs.lg current data datasets deep learning fairness forecast future improving prediction predictions predictive pre-processing processing racial reporting tools type

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