Takashi Kido, Keiki Takadama. The Challenges for Interpretable AI for Well-being. 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. [doi]
@inproceedings{KidoT19,
title = {The Challenges for Interpretable AI for Well-being},
author = {Takashi Kido and Keiki Takadama},
year = {2019},
url = {http://ceur-ws.org/Vol-2448/SSS19_Paper_Upload_210.pdf},
researchr = {https://researchr.org/publication/KidoT19},
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},
}