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awslabs/measuring-fairness-of-rankings-under-noisy-sensitive-information

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This is the code for a paper Measuring Fairness of Rankings under Noisy Sensitive Information by Ghazimatin, Azin and Kleindessner, Matthaus and Russell, Chris and Abedjan, Ziawasch and Golebiowski, Jacek. Published at FAccT '22

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@inproceedings{10.1145/3531146.3534641,
author = {Ghazimatin, Azin and Kleindessner, Matthaus and Russell, Chris and Abedjan, Ziawasch and Golebiowski, Jacek},
title = {Measuring Fairness of Rankings under Noisy Sensitive Information},
year = {2022},
url = {https://doi.org/10.1145/3531146.3534641},
doi = {10.1145/3531146.3534641},
booktitle = {Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency},
pages = {2263–2279},
numpages = {17},
location = {Seoul, Republic of Korea},
series = {FAccT '22}
}

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