Big Data and discrimination: perils, promises and solutions. A systematic review

@article{Favaretto2019BigDA,
  title={Big Data and discrimination: perils, promises and solutions. A systematic review},
  author={Maddalena Favaretto and Eva M. De Clercq and Bernice Simone Elger},
  journal={Journal of Big Data},
  year={2019},
  volume={6},
  pages={1-27}
}
Big Data analytics such as credit scoring and predictive analytics offer numerous opportunities but also raise considerable concerns, among which the most pressing is the risk of discrimination. Although this issue has been examined before, a comprehensive study on this topic is still lacking. This literature review aims to identify studies on Big Data in relation to discrimination in order to (1) understand the causes and consequences of discrimination in data mining, (2) identify barriers to… CONTINUE READING
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