Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned.

Sarah Bird|Krishnaram Kenthapadi|Emre Kiciman|Margaret Mitchell


Anthology ID:DBLP:conf/wsdm/BirdKKM19
Volume:Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019
Year:2019
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:834-835
URL:https://doi.org/10.1145/3289600.3291383
DOI:https://doi.org/10.1145/3289600.3291383
DBLP:conf/wsdm/BirdKKM19
BibTeX:
@inproceedings{bird-2019-fairnessaware, author = {Sarah Bird and Krishnaram Kenthapadi and Emre Kiciman and Margaret Mitchell}, editor = {J. Shane Culpepper and Alistair Moffat and Paul N. Bennett and Kristina Lerman}, title = {{Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned}}, booktitle = {{Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019}}, pages = {834--835}, publisher = {ACM}, year = {2019}, url = {https://doi.org/10.1145/3289600.3291383}, doi = {https://doi.org/10.1145/3289600.3291383} }