Towards Just, Fair and Interpretable Methods for Judicial Subset Selection

Lingxiao Huang, Julia Wei, L. Elisa Celis. Towards Just, Fair and Interpretable Methods for Judicial Subset Selection. In Annette N. Markham, Julia Powles, Toby Walsh, Anne L. Washington, editors, AIES '20: AAAI/ACM Conference on AI, Ethics, and Society, New York, NY, USA, February 7-8, 2020. pages 293-299, ACM, 2020. [doi]

@inproceedings{HuangWC20,
  title = {Towards Just, Fair and Interpretable Methods for Judicial Subset Selection},
  author = {Lingxiao Huang and Julia Wei and L. Elisa Celis},
  year = {2020},
  doi = {10.1145/3375627.3375848},
  url = {https://doi.org/10.1145/3375627.3375848},
  researchr = {https://researchr.org/publication/HuangWC20},
  cites = {0},
  citedby = {0},
  pages = {293-299},
  booktitle = {AIES '20: AAAI/ACM Conference on AI, Ethics, and Society, New York, NY, USA, February 7-8, 2020},
  editor = {Annette N. Markham and Julia Powles and Toby Walsh and Anne L. Washington},
  publisher = {ACM},
  isbn = {978-1-4503-7110-0},
}