English

Observing and Recommending from a Social Web with Biases

Databases 2016-04-26 v1 Machine Learning

Abstract

The research question this report addresses is: how, and to what extent, those directly involved with the design, development and employment of a specific black box algorithm can be certain that it is not unlawfully discriminating (directly and/or indirectly) against particular persons with protected characteristics (e.g. gender, race and ethnicity)?

Keywords

Cite

@article{arxiv.1604.07180,
  title  = {Observing and Recommending from a Social Web with Biases},
  author = {Steffen Staab and Sophie Stalla-Bourdillon and Laura Carmichael},
  journal= {arXiv preprint arXiv:1604.07180},
  year   = {2016}
}

Comments

Technical Report, University of Southampton, March 2016

R2 v1 2026-06-22T13:39:55.044Z