Towards Fairness in Practice: A Practitioner-Oriented Rubric for Evaluating Fair ML Toolkits

Brianna Richardson, Jean Garcia-Gathright, Samuel F. Way, Jennifer Thom, Henriette Cramer. Towards Fairness in Practice: A Practitioner-Oriented Rubric for Evaluating Fair ML Toolkits. In Yoshifumi Kitamura, Aaron Quigley, Katherine Isbister, Takeo Igarashi, Pernille Bjørn, Steven Mark Drucker, editors, CHI '21: CHI Conference on Human Factors in Computing Systems, Virtual Event / Yokohama, Japan, May 8-13, 2021. ACM, 2021. [doi]

@inproceedings{RichardsonGWTC21,
  title = {Towards Fairness in Practice: A Practitioner-Oriented Rubric for Evaluating Fair ML Toolkits},
  author = {Brianna Richardson and Jean Garcia-Gathright and Samuel F. Way and Jennifer Thom and Henriette Cramer},
  year = {2021},
  doi = {10.1145/3411764.3445604},
  url = {https://doi.org/10.1145/3411764.3445604},
  researchr = {https://researchr.org/publication/RichardsonGWTC21},
  cites = {0},
  citedby = {0},
  booktitle = {CHI '21: CHI Conference on Human Factors in Computing Systems, Virtual Event / Yokohama, Japan, May 8-13, 2021},
  editor = {Yoshifumi Kitamura and Aaron Quigley and Katherine Isbister and Takeo Igarashi and Pernille Bjørn and Steven Mark Drucker},
  publisher = {ACM},
  isbn = {978-1-4503-8096-6},
}