Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned

Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell. Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. In Ankur Teredesai, Vipin Kumar, Ying Li, Rómer Rosales, Evimaria Terzi, George Karypis, editors, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. pages 3205-3206, ACM, 2019. [doi]

@inproceedings{BirdHKKM19-0,
  title = {Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned},
  author = {Sarah Bird and Ben Hutchinson and Krishnaram Kenthapadi and Emre Kiciman and Margaret Mitchell},
  year = {2019},
  doi = {10.1145/3292500.3332280},
  url = {https://doi.org/10.1145/3292500.3332280},
  researchr = {https://researchr.org/publication/BirdHKKM19-0},
  cites = {0},
  citedby = {0},
  pages = {3205-3206},
  booktitle = {Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019},
  editor = {Ankur Teredesai and Vipin Kumar and Ying Li and Rómer Rosales and Evimaria Terzi and George Karypis},
  publisher = {ACM},
  isbn = {978-1-4503-6201-6},
}