External Links

Cite Key

Statistics

  • References: 0
  • Cited by: 0
  • Reviews: 0
  • Bibliographies: 0

PDF

Researchr

Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.

Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.

The Challenges for Interpretable AI for Well-being

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]

Abstract

Abstract is missing.

runs on