Amy Wenxuan Ding. Treat Everyone Fairly: A Model of Unbiased and Explainable Algorithmic Decision Making. In Takashi Kido, Keiki Takadama, editors, Proceedings of the Symposium Interpretable AI for Well-being: Understanding Cognitive Bias and Social Embeddedness co-located with Association for the Advancement of Artificial Intelligence 2019 Spring Symposium (AAAI-Spring Symposium 2019), Stanford, CA, March 25-27, 2019. Volume 2448 of CEUR Workshop Proceedings, CEUR-WS.org, 2019.
@inproceedings{Ding19-6,
title = {Treat Everyone Fairly: A Model of Unbiased and Explainable Algorithmic Decision Making},
author = {Amy Wenxuan Ding},
year = {2019},
researchr = {https://researchr.org/publication/Ding19-6},
cites = {0},
citedby = {0},
booktitle = {Proceedings of the Symposium Interpretable AI for Well-being: Understanding Cognitive Bias and Social Embeddedness co-located with Association for the Advancement of Artificial Intelligence 2019 Spring Symposium (AAAI-Spring Symposium 2019), Stanford, CA, March 25-27, 2019},
editor = {Takashi Kido and Keiki Takadama},
volume = {2448},
series = {CEUR Workshop Proceedings},
publisher = {CEUR-WS.org},
}