What Makes a Good Diagnosis: An Algorithm to Detect Biased Training Data

Madeleine Schneider, Robert Thomsons. What Makes a Good Diagnosis: An Algorithm to Detect Biased Training Data. 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.

Abstract

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