Deng, Wesley Hanwen, Nagireddy, Manish, Lee, Michelle Seng, Singh, Jatinder, Wu, Zhiwei Steven, Holstein, Kenneth, and Zhu, Haiyi. Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits. Retrieved from https://par.nsf.gov/biblio/10374247. 2022 ACM Conference on Fairness, Accountability, and Transparency . Web. doi:10.1145/3531146.3533113.

Deng, Wesley Hanwen, Nagireddy, Manish, Lee, Michelle Seng, Singh, Jatinder, Wu, Zhiwei Steven, Holstein, Kenneth, & Zhu, Haiyi. Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits. 2022 ACM Conference on Fairness, Accountability, and Transparency, (). Retrieved from https://par.nsf.gov/biblio/10374247. https://doi.org/10.1145/3531146.3533113

Deng, Wesley Hanwen, Nagireddy, Manish, Lee, Michelle Seng, Singh, Jatinder, Wu, Zhiwei Steven, Holstein, Kenneth, and Zhu, Haiyi. "Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits". 2022 ACM Conference on Fairness, Accountability, and Transparency (). Country unknown/Code not available. https://doi.org/10.1145/3531146.3533113. https://par.nsf.gov/biblio/10374247.

@article{osti_10374247,
place = {Country unknown/Code not available}, title = {Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits}, url = {https://par.nsf.gov/biblio/10374247}, DOI = {10.1145/3531146.3533113}, abstractNote = {}, journal = {2022 ACM Conference on Fairness, Accountability, and Transparency}, author = {Deng, Wesley Hanwen and Nagireddy, Manish and Lee, Michelle Seng and Singh, Jatinder and Wu, Zhiwei Steven and Holstein, Kenneth and Zhu, Haiyi}, }