It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks

Michelle Bao, Angela Zhou, Samantha Zottola, Brian Brubach, Brian Brubach, Sarah Desmarais, Aaron Horowitz, Kristian Lum, Suresh Venkatasubramanian. It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks. In Joaquin Vanschoren, Sai Kit Yeung, editors, Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual. 2021. [doi]

@inproceedings{BaoZZBBDHLV21,
  title = {It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks},
  author = {Michelle Bao and Angela Zhou and Samantha Zottola and Brian Brubach and Brian Brubach and Sarah Desmarais and Aaron Horowitz and Kristian Lum and Suresh Venkatasubramanian},
  year = {2021},
  url = {https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/hash/92cc227532d17e56e07902b254dfad10-Abstract-round1.html},
  researchr = {https://researchr.org/publication/BaoZZBBDHLV21},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual},
  editor = {Joaquin Vanschoren and Sai Kit Yeung},
}