Andrew Bell, Ian Solano-Kamaiko, Oded Nov, Julia Stoyanovich. It's Just Not That Simple: An Empirical Study of the Accuracy-Explainability Trade-off in Machine Learning for Public Policy. In FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21 - 24, 2022. pages 248-266, ACM, 2022. [doi]
@inproceedings{BellSNS22,
title = {It's Just Not That Simple: An Empirical Study of the Accuracy-Explainability Trade-off in Machine Learning for Public Policy},
author = {Andrew Bell and Ian Solano-Kamaiko and Oded Nov and Julia Stoyanovich},
year = {2022},
doi = {10.1145/3531146.3533090},
url = {https://doi.org/10.1145/3531146.3533090},
researchr = {https://researchr.org/publication/BellSNS22},
cites = {0},
citedby = {0},
pages = {248-266},
booktitle = {FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21 - 24, 2022},
publisher = {ACM},
isbn = {978-1-4503-9352-2},
}