Corpus ID: 8372620

A survey on measuring indirect discrimination in machine learning

@article{liobait2015ASO,
  title={A survey on measuring indirect discrimination in machine learning},
  author={I. Žliobaitė},
  journal={ArXiv},
  year={2015},
  volume={abs/1511.00148}
}
  • I. Žliobaitė
  • Published 2015
  • Computer Science, Mathematics
  • ArXiv
  • Nowadays, many decisions are made using predictive models built on historical data. [...] Key Method We also discuss related measures from other disciplines, which have not been used for measuring discrimination, but potentially could be suitable for this purpose. We computationally analyze properties of selected measures. We also review and discuss measuring procedures, and present recommendations for practitioners. The primary target audience is data mining, machine learning, pattern recognition, statistical…Expand Abstract
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