• Computer Science, Mathematics
  • Published in ArXiv 2015

A survey on measuring indirect discrimination in machine learning

@article{liobait2015ASO,
  title={A survey on measuring indirect discrimination in machine learning},
  author={Indrė Žliobaitė},
  journal={ArXiv},
  year={2015},
  volume={abs/1511.00148}
}
Nowadays, many decisions are made using predictive models built on historical data.Predictive models may systematically discriminate groups of people even if the computing process is fair and well-intentioned. Discrimination-aware data mining studies how to make predictive models free from discrimination, when historical data, on which they are built, may be biased, incomplete, or even contain past discriminatory decisions. Discrimination refers to disadvantageous treatment of a person based on… CONTINUE READING

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