Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective

Flavien Prost, Pranjal Awasthi, Nick Blumm, Aditee Kumthekar, Trevor Potter, Li Wei, Xuezhi Wang 0002, Ed H. Chi, Jilin Chen, Alex Beutel. Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective. In Marion Fourcade, Benjamin Kuipers, Seth Lazar, Deirdre K. Mulligan, editors, AIES '21: AAAI/ACM Conference on AI, Ethics, and Society, Virtual Event, USA, May 19-21, 2021. pages 873-883, ACM, 2021. [doi]

@inproceedings{ProstABKPW0CCB21,
  title = {Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective},
  author = {Flavien Prost and Pranjal Awasthi and Nick Blumm and Aditee Kumthekar and Trevor Potter and Li Wei and Xuezhi Wang 0002 and Ed H. Chi and Jilin Chen and Alex Beutel},
  year = {2021},
  doi = {10.1145/3461702.3462603},
  url = {https://doi.org/10.1145/3461702.3462603},
  researchr = {https://researchr.org/publication/ProstABKPW0CCB21},
  cites = {0},
  citedby = {0},
  pages = {873-883},
  booktitle = {AIES '21: AAAI/ACM Conference on AI, Ethics, and Society, Virtual Event, USA, May 19-21, 2021},
  editor = {Marion Fourcade and Benjamin Kuipers and Seth Lazar and Deirdre K. Mulligan},
  publisher = {ACM},
  isbn = {978-1-4503-8473-5},
}