ICML 2022oral40 citations
Active fairness auditing
Abstract
The fast spreading adoption of machine learning (ML) by companies across industries poses significant regulatory challenges. One such challenge is scalability: how can regulatory bodies efficiently
BibTeX
@InProceedings{pmlr-v162-yan22c,
title = {Active fairness auditing},
author = {Yan, Tom and Zhang, Chicheng},
booktitle = {Proceedings of the 39th International Conference on Machine Learning},
pages = {24929--24962},
year = {2022},
editor = {Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan},
volume = {162},
series = {Proceedings of Machine Learning Research},
month = {17--23 Jul},
publisher = {PMLR},
pdf = {https://proceedings.mlr.press/v162/yan22c/yan22c.pdf},
url = {https://proceedings.mlr.press/v162/yan22c.html},
abstract = {The fast spreading adoption of machine learning (ML) by companies across industries poses significant regulatory challenges. One such challenge is scalability: how can regulatory bodies efficiently