Corpus ID: 231846960

The Limits of Computation in Solving Equity Trade-Offs in Machine Learning and Justice System Risk Assessment

@article{Russell2021TheLO,
  title={The Limits of Computation in Solving Equity Trade-Offs in Machine Learning and Justice System Risk Assessment},
  author={J. Russell},
  journal={ArXiv},
  year={2021},
  volume={abs/2102.04342}
}
  • J. Russell
  • Published 2021
  • Computer Science, Mathematics
  • ArXiv
This paper explores how different ideas of racial equity in machine learning, in justice settings in particular, can present trade-offs that are difficult to solve computationally. Machine learning is often used in justice settings to create risk assessments, which are used to determine interventions, resources, and punitive actions. Overall aspects and performance of these machine learningbased tools, such as distributions of scores, outcome rates by levels, and the frequency of false… Expand

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