Corpus ID: 224804010

Where Is the Normative Proof? Assumptions and Contradictions in ML Fairness Research

@article{Cooper2020WhereIT,
  title={Where Is the Normative Proof? Assumptions and Contradictions in ML Fairness Research},
  author={Andrew Cooper},
  journal={ArXiv},
  year={2020},
  volume={abs/2010.10407}
}

Andrew Cooper

Published 2020

Computer Science

ArXiv

Across machine learning (ML) sub-disciplines researchers make mathematical assumptions to facilitate proof-writing. While such assumptions are necessary for providing mathematical guarantees for how algorithms behave, they also necessarily limit the applicability of these algorithms to different problem settings. This practice is known - in fact, obvious - and accepted in ML research. However, similar attention is not paid to the normative assumptions that ground this work. I argue such… CONTINUE READING

View PDF on arXiv

Save to Library

Create Alert

Cite

Launch Research Feed